Pluralsight Path. Data Analytics Literacy (2021)

Creation Time	Sept. 26, 2023, 6:37 p.m.
Last Access Time	Sept. 19, 2024, 12:59 p.m.
File Size	2.8 GB
Keywords	Pluralsight Analytics 2021 Path Data Literacy
Total Requests	114
Total Files	746
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D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/exercise.7z 82.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.mp4 36.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/exercise.7z 33.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.mp4 30.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.mp4 27.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.mp4 27.0 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.mp4 25.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.mp4 23.5 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.mp4 23.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/05. Convert CSV Data to Table Format.mp4 21.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/exercise.7z 21.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.mp4 20.1 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/6. Building and Training a Regression Model for Price Prediction.mp4 19.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/08. Transform Data Using a Spark Activity.mp4 19.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.mp4 19.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.mp4 19.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.mp4 19.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.mp4 18.9 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/7. Deploying the Model.mp4 18.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/04. Join Tables Using Power Query.mp4 18.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/5. Preparing and Processing Data.mp4 18.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/06. Performing Analysis Using Bucketing and Pivot Charts.mp4 18.5 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/3. Excel - Identifying and Eliminating Outliers Using Z-scores.mp4 18.3 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/6. Load Data Using Azure Data Factory.mp4 18.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/07. Pivot Tables for Summary Statistics.mp4 17.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/10. Handling Imbalanced Data with Scikit Learn.mp4 17.4 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/5. Calculating a Priori Probabilities of Survival on the Titanic.mp4 17.2 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.mp4 17.1 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/6. Tuning Hyperparameters and Interpreting the Model.mp4 16.9 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/4. Hyperparameter Tuning a Decision Forest Classifier.mp4 16.9 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/4. Building and Registering the Model.mp4 16.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.mp4 16.2 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/6. Python - Working with Missing Values on Real World Data.mp4 16.1 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/5. Preprocessing and Preparing Data.mp4 16.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/8. Demo - Revisiting Selecting the Best Coffee Video.mp4 15.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/2. Creating an Azure SQL Database.mp4 15.9 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.mp4 15.6 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/3. Configuring a Self-hosted Integration Runtime.mp4 15.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.mp4 15.5 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/5. Visualizing Data Using Power BI.mp4 15.5 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/07. Visualizing Insights Using Azure Data Studio.mp4 15.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/7. Demo - Making Our First Statistical Test.mp4 15.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/5. Data Transformation Using Azure Machine Lear.mp4 15.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/3. Retraining Model with Automated Machine Learning.mp4 14.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/09. Drawing Funnel Charts.mp4 14.4 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/5. Uploading Data to Blob Storage and Creating a Data Factory.mp4 14.0 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/7. Demo - Evaluate a Regression Model.mp4 13.9 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/5. Monitoring Data Drift.mp4 13.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/4. Calculating Descriptive Statistics Using Python Libraries.mp4 13.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/07. Box Plots and Violin Plots.mp4 13.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/03. Bubble Charts.mp4 13.5 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/2. Getting Started with Azure ML Studio.mp4 13.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/08. Performing Regression Analysis on Bivariate Data.mp4 13.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/5. Demo - Implementing GD and SGD.mp4 13.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/4. Demo.mp4 13.3 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/06. Visualizing Statistical Data.mp4 13.2 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/7. Python - Identifying and Removing Outliers.mp4 12.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/06. Convert Wide Form Data to Long Form.mp4 12.8 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/4. Loading and Querying CSV Data.mp4 12.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/09. Covariance and Correlation Matrices for Multivariate Data.mp4 12.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/5. Tuning and Scoring Multiple Models.mp4 12.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.mp4 12.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/3. Loading and Visualizing Data.mp4 12.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/8. Regression on Multivariate Data Using Statsmodels and scikit-lea.mp4 12.3 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/6. Demo - The Houses Price.mp4 12.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/7. Model Selection - Let the Simplest Model Win.mp4 12.2 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/4. Exploring Relationships in Data.mp4 12.0 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/5. Demo - Mixing all Together.mp4 12.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/04. Loading Data from Blob Store to the Data Warehouse.mp4 11.9 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/4. Hypothesis Testing.mp4 11.9 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.mp4 11.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/3. SQL Server Management Studio.mp4 11.7 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/3. Calculating Descriptive Statistics Using Python.mp4 11.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/05. Identifying and Coping with Outliers.mp4 11.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/5. Python - Filling Missing Values.mp4 11.5 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/4. Excel - Clamping Outliers.mp4 11.5 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/5. Creating a Stream Analytics Job and a Power BI Pro Account.mp4 11.4 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/2. Data Silos and Possible Solutions to Silos.mp4 11.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/8. Demo - Comparing Models.mp4 11.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/6. Configuring Input and Output for the Stream Analytics Job.mp4 11.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/5. Demo - Comparing Means.mp4 11.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.mp4 11.1 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/05. Using Pivot Tables for Summary Statistics.mp4 11.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/3. Demo - The Housing Problem - Part 1.mp4 11.0 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/4. Uploading a File to Azure Blob Storage.mp4 11.0 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/2. Clustering - Hierarchical and Non-hierarchical.mp4 10.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/7. Visualizing Streaming Data Using Power BI.mp4 10.8 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/08. Installing and Visualizing Data in Power BI.mp4 10.7 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/6. Does the Distribution Change in a Sample.mp4 10.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/06. Enabling Resource Permissions to an Azure Active Directory App.mp4 10.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/08. Unpivot Tables.mp4 10.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/2. Overfitting and Techniques to Mitigate Overfitting.mp4 10.6 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/06. Representing Pairwise Relationships Using the Pairplot and.mp4 10.6 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/05. Regression Analysis on Bivariate Data.mp4 10.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/4. Applying Bayes Theorem to Make Predictions.mp4 10.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/3. Demo - Installing Jamovi.mp4 10.4 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/2. Loading Data to an On-premises SQL Server.mp4 10.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/3. Loading Data to Azure Blob Storage.mp4 10.3 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/11. Regression Analysis with Multivariate Data.mp4 10.2 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/02. Transactional and Analytical Processing on Azure.mp4 10.2 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/3. Demo - Linear Regression with Regularization.mp4 10.2 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/07. Handling Missing Values.mp4 10.2 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/2. Visualizing Univariate Distributions.mp4 10.1 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/4. Demo - Perform Polynomial Regression.mp4 10.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/4. Creating an Azure SQL Database and Tables.mp4 10.0 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.mp4 9.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/5. Demo - Selecting the Best Coffee.mp4 9.9 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/2. Model Performance Strategy.mp4 9.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/11. Stacked Plots and Stem Plots.mp4 9.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/08. Cleaning Data.mp4 9.8 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/06. Installing and Working with Azure Data Studio.mp4 9.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/3. Demo - Salary Fairness.mp4 9.7 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/6. Identifying and Coping with Outliers.mp4 9.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/09. Pie Charts.mp4 9.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/7. Box Plots, Violin Plots, and Factor Plots.mp4 9.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/4. Finding and Connecting Dots - Data Collection and Analysis.mp4 9.5 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/2. Demo - Multilabel Intent Classification with Naive Bayes.mp4 9.5 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.mp4 9.4 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/10. Visualizing Multivariate Data Using Pivot Charts.mp4 9.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/3. Making Things Faster - Feature Scaling and Learning Rates.mp4 9.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/08. Visualizing Data Using Box Plots and Violin Plots.mp4 9.1 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/4. Understanding Descriptive Statistics.mp4 9.1 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/02. Loading XML Data.mp4 9.0 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/1. Distance and Covariance Matrices.mp4 9.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/06. Detecting Outliers Using Z-scores.mp4 8.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/3. Types of Windows.mp4 8.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.mp4 8.8 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/3. Supervised Learning - When We Learn from History.mp4 8.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/04. Visualizing Univariate Statistics.mp4 8.7 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/2. Azure Machine Learning Services Overview.mp4 8.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/09. Copying Data from a Blob Storage Folder.mp4 8.7 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/09. Visualizing Categorical Data Using Bar Plots, Point Plots,.mp4 8.6 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/1. What Is Statistics.mp4 8.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/07. Python Script to Transform Data Using Pyspark.mp4 8.6 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/04. Bubble Maps for Geographical Data.mp4 8.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/7. Designing a Machine Learning Experiment.mp4 8.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/5. Continuous and Discrete Distribution Functions.mp4 8.5 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/2. Hyperparameter Optimization - TrainDevTest Sets.mp4 8.5 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.mp4 8.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/2. Overfitting - A Great Responsibility Conveys a Great Regularization.mp4 8.4 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/4. Copying Data from On-premises SQL Server to SQL Data Warehouse.mp4 8.4 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/2. Goodness of Fit - Let’s Test if This Follows The Pattern!.mp4 8.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/4. T Test - Estimate the Chance of Equal!.mp4 8.1 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/4. Pairwise Relationships.mp4 8.0 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/3. Visualizing Bivariate Relationships.mp4 7.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/5. Transactional and Analytical Processing.mp4 7.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/7. Performing Join Operations in SQL.mp4 7.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/06. Interactive Time Series Charts.mp4 7.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/6. Bivariate Analysis.mp4 7.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/3. Accuracy, Precision, and Recall.mp4 7.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/6. Joins.mp4 7.7 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/6. Vertical and Horizontal Scaling.mp4 7.7 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/2. Finding the Minima - GD and SGD.mp4 7.7 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.mp4 7.7 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/6. ANOVA.mp4 7.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/04. Combining and Shaping Data Using Pandas.mp4 7.6 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/6. Demo - Perform a Spline Regression.mp4 7.6 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/3. Identifying and Sourcing the Relevant Data.mp4 7.6 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/3. Compression - PCA and CA.mp4 7.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/5. Dealing with Missing Values - Deletion and Imputation.mp4 7.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/5. Calculating Skewness Kurtosis and Simple Visualizations.mp4 7.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/07. Visualizing Bivariate Relationships.mp4 7.4 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/8. Python - Training an ML Classifier Using the Cleaned Dataset.mp4 7.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/3. Demo - Perform Simple Linear Regression.mp4 7.3 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/02. Working with Excel Workbooks.mp4 7.2 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/2. Batch and Streaming Data.mp4 7.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/7. Confidence Interval - The Other Face of the Coin.mp4 7.2 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/09. Working with Imbalanced Data.mp4 7.1 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/8. Covariance Matrices and Correlation Matrices.mp4 7.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/4. Demo - The Housing Problem - Part 2.mp4 7.1 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/08. Histograms.mp4 7.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/4. Connecting the Dots - Combining and Shaping Data.mp4 7.0 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/5. Demo - Multiclass Classification with Multinomial Logistic Regression.mp4 7.0 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/10. Sankey Diagrams.mp4 7.0 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/2. When the World Is Not Linear, You Just Linearize!.mp4 7.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/3. Normalization.mp4 6.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/03. Numeric Representations of Text Data.mp4 6.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/8. Performing Pivot and Unpivot Operations in SQL.mp4 6.9 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/3. A Priori and Conditional Probabilities to Classify Data.mp4 6.9 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/07. Visualizing Categorical Data Using Strip Plots and Swarm P.mp4 6.9 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/04. Visualizations and Use Cases.mp4 6.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/5. Regression Plots.mp4 6.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/05. Heatmaps.mp4 6.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/5. Measures of Central Tendency and Dispersion.mp4 6.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/4. Watermarks and the Notion of Time.mp4 6.6 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/6. Applying Bayes Rule Using the Naive Bayes Classifier.mp4 6.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/09. Creating Different Visualizations in Power BI.mp4 6.6 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/4. Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.mp4 6.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/2. Selecting the Appropriate Model.mp4 6.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/2. Intuition behind Bayes Theorem.mp4 6.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/6. Querying Data in SQL Using Aggregations.mp4 6.3 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/07. Candlestick Charts for Stock Price Movements.mp4 6.2 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/10. Visualizing Autocorrelation.mp4 6.2 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/4. The ROC Curve.mp4 6.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/3. Minimum Squares Estimation - Find the Linear Part.mp4 6.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/1. Module Overview.mp4 5.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/1. What Does the Boundary Look Like.mp4 5.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/3. Statistical Hypothesis - What Am I Missing.mp4 5.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/1. Back to the Basics - Linear Regression Again.mp4 5.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/02. Data Cleaning - Missing Data and Outliers.mp4 5.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/3. Setting up an Azure SQL Data Warehouse.mp4 5.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/03. Getting Started with Azure Notebooks.mp4 5.8 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/5. Demo - Perform Multiple Linear Regression.mp4 5.8 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/3. Alternative Hypothesis and Null Hypothesis.mp4 5.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/7. Checking Homoscedasticity - Levene and ANOVA Inception.mp4 5.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/7. Simple Regression on Bivariate Data Using Scipy.mp4 5.7 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/7. Batch and Streaming Data.mp4 5.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/05. Getting Started with Azure Notebooks.mp4 5.6 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/2. What Are Estimators.mp4 5.6 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/5. Demo - Classify Iris with SVM.mp4 5.6 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/4. Basic Probability and Random Variables.mp4 5.6 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/2. Getting Started with Azure Notebooks.mp4 5.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/5. The Assumptions of Regression.mp4 5.5 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/4. Classify Multiple Categories - One vs. All Classification.mp4 5.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/02. Understanding Kernel Density Estimation.mp4 5.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/03. Aggregation Operations.mp4 5.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/6. What No One Talks About - Assumptions.mp4 5.4 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/4. Choosing the Right Encoding Method.mp4 5.4 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/1. Maximizing the Actual Information - Bayesian Attack!.mp4 5.3 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/5. T-tests.mp4 5.2 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/03. Singular Cross-validation.mp4 5.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/exercise.7z 5.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/02. Continuous and Categorical Data.mp4 4.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/1. How to Learn in Machine Learning Cost Functions!.mp4 4.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/3. Null Hypothesis of ANOVA.mp4 4.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/3. Large Margin Classification - Outliers!.mp4 4.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/4. The Output of ANOVA.mp4 4.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/7. Measuring Relationships Using Covariance.mp4 4.8 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/4. Training and Testing Data Subsets.mp4 4.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/6. Strip Plots and Swarm Plots.mp4 4.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/1. Module Overview.mp4 4.7 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/4. Monitoring the Model.mp4 4.7 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/1. Non-linear Regression - Polynomial Features.mp4 4.7 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/2. Standardization.mp4 4.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/5. Wide Form and Long Form Data.mp4 4.6 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/4. Demo - Perform PCA.mp4 4.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/3. Decision Trees.mp4 4.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/3. Connecting the Dots with Data.mp4 4.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/7. Aggregations.mp4 4.3 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/2. T Distribution - When the Variance Is Unknown.mp4 4.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/1. Getting Started with Machine Learning.mp4 4.3 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/2. The Power of Regression.mp4 4.1 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/exercise.7z 4.0 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/3. Azure ML - Classification Model Options.mp4 4.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/04. Representing Image Data as Matrices.mp4 4.0 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/08. Funnel Charts and SVG Paths.mp4 4.0 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/6. Assumptions of the Model - Hetero-what!.mp4 4.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 4.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/05. Azure Data Products.mp4 4.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 3.9 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/exercise.7z 3.9 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/6. Understanding Variance.mp4 3.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/8. Event Time, Ingestion Time, and Processing Time.mp4 3.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/4. How It All Fits - Going Back to the Model!.mp4 3.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/2. Why Don’t You Use Multiple T Tests.mp4 3.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/3. Tukey Comparisons - I Want It All.mp4 3.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/4. Normality Tests.mp4 3.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/6. What if I Am Mistaken.mp4 3.7 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/5. Feature Scaling.mp4 3.7 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 3.7 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/4. What if I Want More Variables Multiple Regression to the Rescue!.mp4 3.7 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/1. Course Overview/1. Course Overview.mp4 3.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/4. Binning.mp4 3.5 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/5. Outliers Strike Again - Spline Regression as Local Regressor.mp4 3.5 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/02. Cross-validation in the ML Workflow.mp4 3.5 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 3.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/2. Factors of a Well Defined Hypothesis.mp4 3.4 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/1. Module Overview.mp4 3.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/2. Introducing the Azure SQL Database.mp4 3.2 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/exercise.7z 3.2 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/2. Hyperparameter Tuning.mp4 3.2 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/1. Course Overview/1. Course Overview.mp4 3.1 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/3. Dependent and Independent Variables.mp4 3.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/8. Summary.mp4 3.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/1. Module Overview.mp4 2.9 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/4. Prediction and Extrapolation.mp4 2.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/1. Course Overview/1. Course Overview.mp4 2.8 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/6. Summary.mp4 2.8 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/4. Planned Contrasts - When You Need More Potency.mp4 2.7 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/6. Summary.mp4 2.7 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/8. Summary.mp4 2.6 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/1. Course Overview/1. Course Overview.mp4 2.4 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/5. Course Wrap Up.mp4 2.4 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/1. Module Overview.mp4 2.4 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/8. Module Summary.mp4 2.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/6. Common Feature Selection Techniques.mp4 2.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/1. Overview.mp4 2.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/5. Hypothesis Acceptance Criteria.mp4 2.3 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/1. Introducing Demo - Salary Fairness.mp4 2.2 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/7. Summary.mp4 2.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/10. Summary and Further Study.mp4 2.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/4. Key Performance Indicators Required.mp4 2.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/8. Summary.mp4 2.2 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/7. Summary.mp4 2.1 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/1. Module Overview.mp4 2.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/10. Summary.mp4 2.1 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/7. Summary.mp4 2.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/8. Summary and Further Study.mp4 2.1 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/12. Module Summary.mp4 2.1 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/1. Module Overview.mp4 2.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/10. Summary.mp4 2.0 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/5. Metrics for Model Classification Optional.mp4 2.0 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.mp4 2.0 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/3. Prerequisites and Course Outline.mp4 2.0 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/10. Summary.mp4 2.0 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/8. Summary.mp4 2.0 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/3. Prerequisites and Course Outline.mp4 1.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/8. Summary.mp4 1.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/10. Summary and Further Study.mp4 1.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/11. Summary.mp4 1.9 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/exercise.7z 1.9 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/6. Summary.mp4 1.9 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/03. Prerequisites and Course Outline.mp4 1.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/01. Module Overview.mp4 1.9 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/3. Prerequisites and Course Outline.mp4 1.9 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/02. Module Overview.mp4 1.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/01. Module Overview.mp4 1.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/01. Module Overview.mp4 1.8 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/2. Module Overview.mp4 1.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/1. Module Overview.mp4 1.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/6. Summary and Further Study.mp4 1.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/01. Module Overview.mp4 1.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/9. Summary.mp4 1.8 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/9. Summary.mp4 1.8 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/12. Summary.mp4 1.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/2. Prerequisites and Course Outline.mp4 1.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/11. Summary.mp4 1.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/1. Module Overview.mp4 1.7 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/6. Summary and Further Study.mp4 1.7 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/9. Summary.mp4 1.7 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/1. Module Overview.mp4 1.7 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/01. Module Overview.mp4 1.7 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/1. Introducing Case Study.mp4 1.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/1. Module Overview.mp4 1.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/1. Module Overview.mp4 1.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/2. Module Overview.mp4 1.6 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/9. Module Summary.mp4 1.5 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/1. Module Overview.mp4 1.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/7. Module Summary.mp4 1.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/1. Introducing Demo - The Houses Price.mp4 1.5 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/01. Module Overview.mp4 1.5 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/01. Module Overview.mp4 1.5 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/1. Introducing Demo - Mixing All Together.mp4 1.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/1. Overview.mp4 1.4 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/1. Module Overview.mp4 1.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/2. Module Overview.mp4 1.4 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/7. Summary.mp4 1.4 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/2. Introducing Demo - Selecting the Best Coffee.mp4 1.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/6. Summary.mp4 1.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/6. Summary.mp4 1.2 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/5. Summary.mp4 1.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/1. Overview.mp4 1.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/1. Overview.mp4 1.2 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/9. Summary.mp4 1.2 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/6. Summary.mp4 1.1 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/7. Summary.mp4 1.1 MB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/9. Summary.mp4 1.1 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/5. Summary.mp4 1018.1 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/8. Summary.mp4 1006.8 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/8. Summary.mp4 924.3 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/1. Introducing Demo - The Housing Problem.mp4 918.5 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/1. Introducing ANOVA.mp4 794.9 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/1. Overview.mp4 731.0 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/6. Summary.mp4 660.6 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/6. Summary.mp4 605.8 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/1. Version Check.mp4 573.4 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/1. Version Check.mp4 568.1 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/01. Version Check.mp4 545.6 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/1. Version Check.mp4 539.2 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.vtt 14.3 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.vtt 14.2 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.vtt 13.0 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.vtt 12.6 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/6. Building and Training a Regression Model for Price Prediction.vtt 11.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/08. Transform Data Using a Spark Activity.vtt 11.6 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.vtt 11.5 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/7. Deploying the Model.vtt 11.3 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.vtt 11.0 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/5. Calculating a Priori Probabilities of Survival on the Titanic.vtt 11.0 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/4. Hypothesis Testing.vtt 10.9 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.vtt 10.8 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/07. Visualizing Insights Using Azure Data Studio.vtt 10.8 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/5. Preparing and Processing Data.vtt 10.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/3. Excel - Identifying and Eliminating Outliers Using Z-scores.vtt 10.6 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/4. Understanding Descriptive Statistics.vtt 10.4 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/4. Applying Bayes Theorem to Make Predictions.vtt 10.2 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.vtt 10.2 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/10. Handling Imbalanced Data with Scikit Learn.vtt 10.1 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/6. Load Data Using Azure Data Factory.vtt 10.1 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/2. Overfitting and Techniques to Mitigate Overfitting.vtt 10.0 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.vtt 10.0 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/6. Identifying and Coping with Outliers.vtt 9.9 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/4. Finding and Connecting Dots - Data Collection and Analysis.vtt 9.9 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/6. Python - Working with Missing Values on Real World Data.vtt 9.9 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.vtt 9.8 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/2. Data Silos and Possible Solutions to Silos.vtt 9.8 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.vtt 9.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.vtt 9.8 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/2. Creating an Azure SQL Database.vtt 9.8 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/7. Model Selection - Let the Simplest Model Win.vtt 9.8 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/6. Does the Distribution Change in a Sample.vtt 9.7 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/2. Model Performance Strategy.vtt 9.7 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/3. Configuring a Self-hosted Integration Runtime.vtt 9.7 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/4. Calculating Descriptive Statistics Using Python Libraries.vtt 9.6 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/4. Hyperparameter Tuning a Decision Forest Classifier.vtt 9.6 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/2. Clustering - Hierarchical and Non-hierarchical.vtt 9.5 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.vtt 9.5 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/07. Box Plots and Violin Plots.vtt 9.2 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/09. Drawing Funnel Charts.vtt 9.1 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/3. Types of Windows.vtt 9.0 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/5. Preprocessing and Preparing Data.vtt 9.0 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/06. Performing Analysis Using Bucketing and Pivot Charts.vtt 9.0 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/3. Supervised Learning - When We Learn from History.vtt 9.0 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/02. Transactional and Analytical Processing on Azure.vtt 8.9 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/8. Demo - Revisiting Selecting the Best Coffee Video.vtt 8.8 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/5. Data Transformation Using Azure Machine Lear.vtt 8.8 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.vtt 8.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/7. Python - Identifying and Removing Outliers.vtt 8.7 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.vtt 8.6 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/5. Uploading Data to Blob Storage and Creating a Data Factory.vtt 8.6 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/03. Bubble Charts.vtt 8.6 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.vtt 8.5 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/6. Demo - The Houses Price.vtt 8.5 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/04. Join Tables Using Power Query.vtt 8.4 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/7. Demo - Making Our First Statistical Test.vtt 8.4 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/3. Calculating Descriptive Statistics Using Python.vtt 8.3 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/2. Getting Started with Azure ML Studio.vtt 8.2 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/5. Dealing with Missing Values - Deletion and Imputation.vtt 8.2 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.vtt 8.2 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/6. Tuning Hyperparameters and Interpreting the Model.vtt 8.2 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/5. Demo - Implementing GD and SGD.vtt 8.2 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/5. Python - Filling Missing Values.vtt 8.1 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/3. Loading and Visualizing Data.vtt 8.1 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/5. Demo - Mixing all Together.vtt 8.1 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/5. Visualizing Data Using Power BI.vtt 8.0 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/8. Regression on Multivariate Data Using Statsmodels and scikit-lea.vtt 8.0 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/4. Building and Registering the Model.vtt 8.0 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/7. Designing a Machine Learning Experiment.vtt 7.9 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/3. Retraining Model with Automated Machine Learning.vtt 7.9 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/6. Vertical and Horizontal Scaling.vtt 7.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/07. Pivot Tables for Summary Statistics.vtt 7.8 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/06. Visualizing Statistical Data.vtt 7.6 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/2. Batch and Streaming Data.vtt 7.6 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/3. Making Things Faster - Feature Scaling and Learning Rates.vtt 7.6 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/1. What Is Statistics.vtt 7.5 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/05. Regression Analysis on Bivariate Data.vtt 7.5 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/2. Hyperparameter Optimization - TrainDevTest Sets.vtt 7.5 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/2. Finding the Minima - GD and SGD.vtt 7.5 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/5. Monitoring Data Drift.vtt 7.5 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/07. Handling Missing Values.vtt 7.4 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/06. Representing Pairwise Relationships Using the Pairplot and.vtt 7.4 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/03. Numeric Representations of Text Data.vtt 7.4 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/6. Joins.vtt 7.3 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/05. Identifying and Coping with Outliers.vtt 7.3 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.vtt 7.3 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/3. A Priori and Conditional Probabilities to Classify Data.vtt 7.3 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/1. Distance and Covariance Matrices.vtt 7.3 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/5. Measures of Central Tendency and Dispersion.vtt 7.3 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/5. Tuning and Scoring Multiple Models.vtt 7.2 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/4. Connecting the Dots - Combining and Shaping Data.vtt 7.2 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.vtt 7.2 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/4. Exploring Relationships in Data.vtt 7.2 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.vtt 7.2 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/4. Loading and Querying CSV Data.vtt 7.2 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/3. Compression - PCA and CA.vtt 7.2 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.vtt 7.1 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/7. Demo - Evaluate a Regression Model.vtt 7.1 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/2. When the World Is Not Linear, You Just Linearize!.vtt 7.0 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/4. T Test - Estimate the Chance of Equal!.vtt 7.0 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/5. Continuous and Discrete Distribution Functions.vtt 7.0 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/7. Visualizing Streaming Data Using Power BI.vtt 7.0 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/3. Normalization.vtt 7.0 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/8. Covariance Matrices and Correlation Matrices.vtt 6.9 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/2. Intuition behind Bayes Theorem.vtt 6.9 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/02. Data Cleaning - Missing Data and Outliers.vtt 6.9 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/3. Accuracy, Precision, and Recall.vtt 6.9 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/04. Visualizations and Use Cases.vtt 6.9 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.vtt 6.9 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/3. SQL Server Management Studio.vtt 6.9 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/2. Overfitting - A Great Responsibility Conveys a Great Regularization.vtt 6.8 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/6. ANOVA.vtt 6.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/08. Cleaning Data.vtt 6.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/6. Configuring Input and Output for the Stream Analytics Job.vtt 6.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/06. Installing and Working with Azure Data Studio.vtt 6.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/5. Transactional and Analytical Processing.vtt 6.6 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/3. Demo - Linear Regression with Regularization.vtt 6.6 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/08. Installing and Visualizing Data in Power BI.vtt 6.5 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/4. Watermarks and the Notion of Time.vtt 6.5 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/08. Visualizing Data Using Box Plots and Violin Plots.vtt 6.5 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/11. Stacked Plots and Stem Plots.vtt 6.4 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/2. Selecting the Appropriate Model.vtt 6.4 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/06. Detecting Outliers Using Z-scores.vtt 6.4 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/2. Loading Data to an On-premises SQL Server.vtt 6.3 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/09. Visualizing Categorical Data Using Bar Plots, Point Plots,.vtt 6.2 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/2. Goodness of Fit - Let’s Test if This Follows The Pattern!.vtt 6.2 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/09. Working with Imbalanced Data.vtt 6.2 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/09. Covariance and Correlation Matrices for Multivariate Data.vtt 6.2 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/08. Performing Regression Analysis on Bivariate Data.vtt 6.2 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/09. Pie Charts.vtt 6.1 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/7. Confidence Interval - The Other Face of the Coin.vtt 6.0 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/2. Visualizing Univariate Distributions.vtt 6.0 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/4. Demo - Perform Polynomial Regression.vtt 6.0 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/3. Demo - The Housing Problem - Part 1.vtt 6.0 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/3. Demo - Installing Jamovi.vtt 6.0 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/1. How to Learn in Machine Learning Cost Functions!.vtt 5.9 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/2. Demo - Multilabel Intent Classification with Naive Bayes.vtt 5.9 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/4. The ROC Curve.vtt 5.9 KB
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A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/7. Summary.vtt 2.0 KB
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A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/9. Summary.vtt 2.0 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/11. Summary.vtt 2.0 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.vtt 1.9 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/12. Summary.vtt 1.9 KB
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A2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/1. Module Overview.vtt 1.8 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/~i.txt 1.8 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/7. Module Summary.vtt 1.8 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/2. Module Overview.vtt 1.8 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/1. Module Overview.vtt 1.8 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/01. Module Overview.vtt 1.8 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/1. Module Overview.vtt 1.8 KB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/1. Module Overview.vtt 1.8 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/1. Introducing Demo - The Houses Price.vtt 1.7 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/02. Module Overview.vtt 1.7 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/9. Module Summary.vtt 1.7 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/1. Module Overview.vtt 1.7 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/~i.txt 1.7 KB
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C2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/1. Module Overview.vtt 1.7 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/1. Introducing Case Study.vtt 1.7 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/~i.txt 1.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/2. Module Overview.vtt 1.7 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/01. Module Overview.vtt 1.7 KB
C2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/1. Module Overview.vtt 1.6 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/01. Module Overview.vtt 1.6 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/1. Course Overview/1. Course Overview.vtt 1.6 KB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/6. Summary.vtt 1.6 KB
A2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/2. Module Overview.vtt 1.5 KB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/7. Summary.vtt 1.5 KB
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C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/2. Introducing Demo - Selecting the Best Coffee.vtt 1.5 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/1. Overview.vtt 1.5 KB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/01. Module Overview.vtt 1.4 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/5. Summary.vtt 1.4 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/1. Introducing Demo - Mixing All Together.vtt 1.2 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/1. Overview.vtt 1.2 KB
C1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/9. Summary.vtt 1.1 KB
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D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/6. Summary.vtt 1.1 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/7. Summary.vtt 1.1 KB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/6. Summary.vtt 1.0 KB
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C2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/01. Version Check.vtt 7 bytes

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