[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

Creation Time	Oct. 8, 2023, 7:04 p.m.
Last Access Time	Sept. 6, 2024, 5:44 p.m.
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Keywords	for Seaborn Python Data - Bootcamp GigaCourse Science Udemy Com Pandas Numpy 2021
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Total Files	206
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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 40.0 MB
1. Introduction/2. How to Download Course Notebooks.mp4 38.1 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 36.9 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 36.4 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 35.8 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 35.4 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 34.0 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 33.5 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 33.2 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 32.8 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 31.9 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 31.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 31.2 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 31.2 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 31.2 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 30.1 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 29.8 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 29.7 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 29.5 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 28.9 MB
3. Module 3 Working with Jupyter Notebooks/1. Running Jupyter Notebook.mp4 28.8 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/4. Customizing Ticks and Labels.mp4 28.6 MB
6. Module 6 NumPy Arrays/7. Boolean Indexing.mp4 28.2 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/12. Histograms and Density Plots.mp4 27.8 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/14. Factor Plots for Categorical Data.mp4 27.3 MB
1. Introduction/3. Overview of Course Curriculum.mp4 27.1 MB
3. Module 3 Working with Jupyter Notebooks/2. Tour In Basics of Jupyter Notebooks.mp4 26.9 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/9. Line Plots with Dataframe.mp4 26.7 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/1. Reshaping by Stacking and Unstacking.mp4 26.5 MB
14. Module 14 Time Series/2. Converting Between String and Datetime.mp4 25.9 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/11. Bar Plots with Seaborn.mp4 25.7 MB
7. Module 7 Pandas Dataframe/6. Indexing, Slicing and Filtering.mp4 25.3 MB
7. Module 7 Pandas Dataframe/1. Series in Pandas.mp4 24.6 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/5. Adding Legends.mp4 24.6 MB
5. Module 5 Functions in Python/1. Creating and Calling Functions.mp4 23.7 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/6. Adding Texts and Arrows on a Plot.mp4 23.4 MB
3. Module 3 Working with Jupyter Notebooks/5. Magic Commands.mp4 23.4 MB
15. Module 15 Real World Data Analysis Example/2. Housing Dataset Analysis -Part Two.mp4 23.3 MB
14. Module 14 Time Series/7. Resampling and Frequency Conversion.mp4 23.1 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/4. Indexing with Columns in Dataframe.mp4 23.1 MB
9. Module 9 Data Cleaning and Preprocessing/7. Filtering Outliers.mp4 22.4 MB
8. Module 8 Data Loading, Storage with Pandas/1. Reading Data in Text Format-Part1.mp4 22.3 MB
7. Module 7 Pandas Dataframe/7. Arithmetic with Dataframe.mp4 22.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/3. Changing Colors, Markers and Linestyle.mp4 21.9 MB
8. Module 8 Data Loading, Storage with Pandas/3. Writing Data in Text Format.mp4 21.9 MB
8. Module 8 Data Loading, Storage with Pandas/2. Reading Data in Text Format-Part2.mp4 21.6 MB
9. Module 9 Data Cleaning and Preprocessing/3. Filling in Missing Data.mp4 21.3 MB
6. Module 6 NumPy Arrays/11. Sorting Arrays.mp4 21.2 MB
9. Module 9 Data Cleaning and Preprocessing/8. Shuffling and Random Sampling.mp4 20.9 MB
9. Module 9 Data Cleaning and Preprocessing/10. String Object Methods.mp4 20.7 MB
6. Module 6 NumPy Arrays/3. Data Types for Ndarrays.mp4 20.6 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/10. Bar Plots with Dataframes.mp4 20.6 MB
7. Module 7 Pandas Dataframe/9. Descriptive Statistics with Dataframe.mp4 20.3 MB
9. Module 9 Data Cleaning and Preprocessing/2. Filtering out Missing Data.mp4 20.3 MB
7. Module 7 Pandas Dataframe/8. Sorting Series and Dataframe.mp4 20.3 MB
14. Module 14 Time Series/1. Date and time Data types.mp4 20.2 MB
2. Module 2 Setting Python Environment/3. Cloud Environment Google Colab Jupyter Notebooks.mp4 20.2 MB
4. Module 4 Data Structures And Sequences In Python/1. Tuple.mp4 19.8 MB
6. Module 6 NumPy Arrays/6. Indexing and Slicing-Part two.mp4 19.8 MB
7. Module 7 Pandas Dataframe/3. Index Objects.mp4 18.8 MB
7. Module 7 Pandas Dataframe/10. Correlation and Covariance.mp4 18.7 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/8. Saving Plots to a File.mp4 18.1 MB
6. Module 6 NumPy Arrays/8. Fancy Indexing.mp4 18.0 MB
6. Module 6 NumPy Arrays/5. Indexing and Slicing-Part One.mp4 17.8 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/3. Summary Statistics by Level.mp4 17.3 MB
9. Module 9 Data Cleaning and Preprocessing/9. Dummy Variables.mp4 15.7 MB
6. Module 6 NumPy Arrays/12. File Input and Output with Arrays.mp4 15.6 MB
3. Module 3 Working with Jupyter Notebooks/4. Getting Help in Jupyter Notebook.mp4 15.6 MB
5. Module 5 Functions in Python/3. Lambda Functions.mp4 15.3 MB
3. Module 3 Working with Jupyter Notebooks/3. Cell Types in Jupyter Notebook.mp4 15.1 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/2. Merging Datasets on Index.mp4 15.0 MB
4. Module 4 Data Structures And Sequences In Python/3. Dictionary.mp4 14.8 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/2. Reordering and Sorting Index Levels.mp4 14.3 MB
1. Introduction/1. Course Introduction.mp4 13.9 MB
9. Module 9 Data Cleaning and Preprocessing/5. Replacing Values.mp4 13.5 MB
7. Module 7 Pandas Dataframe/4. Reindexing in Series and DataFrames.mp4 13.4 MB
9. Module 9 Data Cleaning and Preprocessing/1. Handling Missing Data.mp4 13.2 MB
6. Module 6 NumPy Arrays/4. Arithmetic with NumPy Arrays.mp4 12.9 MB
9. Module 9 Data Cleaning and Preprocessing/4. Removing Duplicate Entries.mp4 12.7 MB
8. Module 8 Data Loading, Storage with Pandas/4. Reading Microsoft Excel Files.mp4 12.2 MB
2. Module 2 Setting Python Environment/1. Decide Which Python Environment to Use.mp4 12.0 MB
6. Module 6 NumPy Arrays/1. What Is NumPy Arrays (Ndarrays).mp4 11.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/1. Introducing Matplotlib Library.mp4 11.5 MB
9. Module 9 Data Cleaning and Preprocessing/6. Renaming columns and Index Labels.mp4 11.2 MB
15. Module 15 Real World Data Analysis Example/1. Housing Dataset Analysis -Part One.mp4 10.8 MB
2. Module 2 Setting Python Environment/2. Local environment Installing Anaconda.mp4 10.4 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/2. Reshaping by Melting (Wide to Long ).mp4 9.5 MB
5. Module 5 Functions in Python/2. Returning Multiple Values.mp4 9.4 MB
6. Module 6 NumPy Arrays/9. Transposing Arrays.mp4 8.9 MB
7. Module 7 Pandas Dataframe/5. Deleting Rows and Columns.mp4 5.4 MB
4. Module 4 Data Structures And Sequences In Python/4. Set.mp4 4.5 MB
1. Introduction/2.1 How to download course notebooks.pdf 140.2 KB
4. Module 4 Data Structures And Sequences In Python/2. List.srt 9.2 KB
15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.srt 8.7 KB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).srt 8.2 KB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.srt 7.7 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.srt 7.6 KB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.srt 7.4 KB
14. Module 14 Time Series/3. Basics of Time Series.srt 7.4 KB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.srt 7.2 KB
3. Module 3 Working with Jupyter Notebooks/2. Tour In Basics of Jupyter Notebooks.srt 7.0 KB
14. Module 14 Time Series/8. Rolling and Moving Windows.srt 6.7 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.srt 6.7 KB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.srt 6.6 KB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).srt 6.6 KB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.srt 6.5 KB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).srt 6.4 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/14. Factor Plots for Categorical Data.srt 6.4 KB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.srt 6.2 KB
1. Introduction/2. How to Download Course Notebooks.srt 6.2 KB
5. Module 5 Functions in Python/1. Creating and Calling Functions.srt 6.2 KB
7. Module 7 Pandas Dataframe/6. Indexing, Slicing and Filtering.srt 6.1 KB
6. Module 6 NumPy Arrays/7. Boolean Indexing.srt 6.1 KB
3. Module 3 Working with Jupyter Notebooks/1. Running Jupyter Notebook.srt 5.9 KB
1. Introduction/3. Overview of Course Curriculum.srt 5.9 KB
7. Module 7 Pandas Dataframe/1. Series in Pandas.srt 5.9 KB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/2. Reshaping by Melting (Wide to Long ).srt 5.9 KB
8. Module 8 Data Loading, Storage with Pandas/1. Reading Data in Text Format-Part1.srt 5.8 KB
14. Module 14 Time Series/6. Handling Time Zone.srt 5.7 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/11. Bar Plots with Seaborn.srt 5.6 KB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/1. Reshaping by Stacking and Unstacking.srt 5.6 KB
14. Module 14 Time Series/7. Resampling and Frequency Conversion.srt 5.5 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.srt 5.4 KB
14. Module 14 Time Series/2. Converting Between String and Datetime.srt 5.3 KB
2. Module 2 Setting Python Environment/3. Cloud Environment Google Colab Jupyter Notebooks.srt 5.3 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/12. Histograms and Density Plots.srt 5.1 KB
7. Module 7 Pandas Dataframe/7. Arithmetic with Dataframe.srt 5.0 KB
4. Module 4 Data Structures And Sequences In Python/1. Tuple.srt 5.0 KB
10. Module 10 Data Wrangling1 Hierarchical Indexing/4. Indexing with Columns in Dataframe.srt 5.0 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/6. Adding Texts and Arrows on a Plot.srt 4.9 KB
6. Module 6 NumPy Arrays/3. Data Types for Ndarrays.srt 4.9 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/4. Customizing Ticks and Labels.srt 4.9 KB
9. Module 9 Data Cleaning and Preprocessing/7. Filtering Outliers.srt 4.9 KB
9. Module 9 Data Cleaning and Preprocessing/10. String Object Methods.srt 4.8 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/9. Line Plots with Dataframe.srt 4.8 KB
6. Module 6 NumPy Arrays/6. Indexing and Slicing-Part two.srt 4.7 KB
7. Module 7 Pandas Dataframe/9. Descriptive Statistics with Dataframe.srt 4.7 KB
14. Module 14 Time Series/4. Generating Date Ranges.srt 4.6 KB
1. Introduction/1. Course Introduction.srt 4.5 KB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.srt 4.5 KB
3. Module 3 Working with Jupyter Notebooks/4. Getting Help in Jupyter Notebook.srt 4.5 KB
9. Module 9 Data Cleaning and Preprocessing/3. Filling in Missing Data.srt 4.5 KB
14. Module 14 Time Series/1. Date and time Data types.srt 4.5 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/5. Adding Legends.srt 4.4 KB
7. Module 7 Pandas Dataframe/8. Sorting Series and Dataframe.srt 4.4 KB
9. Module 9 Data Cleaning and Preprocessing/2. Filtering out Missing Data.srt 4.3 KB
8. Module 8 Data Loading, Storage with Pandas/2. Reading Data in Text Format-Part2.srt 4.3 KB
6. Module 6 NumPy Arrays/8. Fancy Indexing.srt 4.3 KB
8. Module 8 Data Loading, Storage with Pandas/3. Writing Data in Text Format.srt 4.2 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/10. Bar Plots with Dataframes.srt 4.2 KB
15. Module 15 Real World Data Analysis Example/1. Housing Dataset Analysis -Part One.srt 4.2 KB
15. Module 15 Real World Data Analysis Example/2. Housing Dataset Analysis -Part Two.srt 4.2 KB
2. Module 2 Setting Python Environment/1. Decide Which Python Environment to Use.srt 4.2 KB
2. Module 2 Setting Python Environment/2. Local environment Installing Anaconda.srt 4.2 KB
3. Module 3 Working with Jupyter Notebooks/5. Magic Commands.srt 4.2 KB
6. Module 6 NumPy Arrays/5. Indexing and Slicing-Part One.srt 4.2 KB
10. Module 10 Data Wrangling1 Hierarchical Indexing/3. Summary Statistics by Level.srt 4.1 KB
9. Module 9 Data Cleaning and Preprocessing/8. Shuffling and Random Sampling.srt 4.1 KB
7. Module 7 Pandas Dataframe/10. Correlation and Covariance.srt 4.1 KB
3. Module 3 Working with Jupyter Notebooks/3. Cell Types in Jupyter Notebook.srt 4.1 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/3. Changing Colors, Markers and Linestyle.srt 4.0 KB
7. Module 7 Pandas Dataframe/3. Index Objects.srt 4.0 KB
9. Module 9 Data Cleaning and Preprocessing/9. Dummy Variables.srt 3.9 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/8. Saving Plots to a File.srt 3.9 KB
5. Module 5 Functions in Python/3. Lambda Functions.srt 3.8 KB
6. Module 6 NumPy Arrays/11. Sorting Arrays.srt 3.5 KB
9. Module 9 Data Cleaning and Preprocessing/5. Replacing Values.srt 3.5 KB
9. Module 9 Data Cleaning and Preprocessing/1. Handling Missing Data.srt 3.4 KB
4. Module 4 Data Structures And Sequences In Python/3. Dictionary.srt 3.3 KB
7. Module 7 Pandas Dataframe/5. Deleting Rows and Columns.srt 3.2 KB
6. Module 6 NumPy Arrays/12. File Input and Output with Arrays.srt 3.2 KB
13. Module 13 Data Visualization with Matplotlib and Seaborn/1. Introducing Matplotlib Library.srt 3.2 KB
6. Module 6 NumPy Arrays/4. Arithmetic with NumPy Arrays.srt 3.1 KB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/2. Merging Datasets on Index.srt 3.1 KB
10. Module 10 Data Wrangling1 Hierarchical Indexing/2. Reordering and Sorting Index Levels.srt 3.0 KB
7. Module 7 Pandas Dataframe/4. Reindexing in Series and DataFrames.srt 3.0 KB
6. Module 6 NumPy Arrays/1. What Is NumPy Arrays (Ndarrays).srt 2.9 KB
9. Module 9 Data Cleaning and Preprocessing/6. Renaming columns and Index Labels.srt 2.8 KB
9. Module 9 Data Cleaning and Preprocessing/4. Removing Duplicate Entries.srt 2.7 KB
8. Module 8 Data Loading, Storage with Pandas/4. Reading Microsoft Excel Files.srt 2.4 KB
4. Module 4 Data Structures And Sequences In Python/4. Set.srt 2.3 KB
5. Module 5 Functions in Python/2. Returning Multiple Values.srt 2.3 KB
6. Module 6 NumPy Arrays/9. Transposing Arrays.srt 2.0 KB
10. Module 10 Data Wrangling1 Hierarchical Indexing/5. Short Quiz.html 213 bytes
11. Module 11 Data Wrangling2 Combining and Merging Datasets/4. Short Quiz.html 213 bytes
12. Module 12 Data Wrangling3 Reshaping and Pivoting/4. Short Quiz.html 213 bytes
13. Module 13 Data Visualization with Matplotlib and Seaborn/15. Short Quiz.html 213 bytes
14. Module 14 Time Series/9. Short Quiz.html 213 bytes
4. Module 4 Data Structures And Sequences In Python/5. Short Quiz.html 213 bytes
5. Module 5 Functions in Python/4. Short Quiz.html 213 bytes
6. Module 6 NumPy Arrays/13. Short Quiz.html 213 bytes
7. Module 7 Pandas Dataframe/11. Short Quiz.html 213 bytes
8. Module 8 Data Loading, Storage with Pandas/5. Short Quiz.html 213 bytes
9. Module 9 Data Cleaning and Preprocessing/11. Short Quiz.html 213 bytes
0. Websites you may like/[CourseClub.ME].url 122 bytes
11. Module 11 Data Wrangling2 Combining and Merging Datasets/[CourseClub.Me].url 122 bytes
15. Module 15 Real World Data Analysis Example/[CourseClub.Me].url 122 bytes
3. Module 3 Working with Jupyter Notebooks/[CourseClub.Me].url 122 bytes
7. Module 7 Pandas Dataframe/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
11. Module 11 Data Wrangling2 Combining and Merging Datasets/[GigaCourse.Com].url 49 bytes
15. Module 15 Real World Data Analysis Example/[GigaCourse.Com].url 49 bytes
3. Module 3 Working with Jupyter Notebooks/[GigaCourse.Com].url 49 bytes
7. Module 7 Pandas Dataframe/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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