LiveLessson - Data Science Fundamentals Part 1
File List
- 35 3.7 Parsing Data with Python—JSON and XML.mp4 207.5 MB
- 79 6.13 Querying Across Datasets with Joins.mp4 170.9 MB
- 17 2.3 Acquiring Data.mp4 164.4 MB
- 52 4.11 Keeping Things DRY with Inheritance.mp4 151.2 MB
- 22 2.8 Triadic Closure in Python.mp4 141.2 MB
- 62 5.7 Creating and Querying Records with peewee.mp4 139.0 MB
- 38 3.10 Parametric API Requests with Python.mp4 138.3 MB
- 37 3.9 Working with APIs.mp4 136.7 MB
- 47 4.6 Magic Methods, Class Attributes, and Introspection.mp4 136.1 MB
- 51 4.10 Customizing Model Interfaces with Setter Methods and Virtual Attributes.mp4 129.4 MB
- 78 6.12 Joins with peewee.mp4 129.3 MB
- 18 2.4 Wrangling Data.mp4 120.8 MB
- 48 4.7 Exploring and Structuring the Foursquare Response.mp4 118.6 MB
- 19 2.5 Exploring Data.mp4 118.4 MB
- 61 5.6 ORMs in Python with peewee.mp4 118.0 MB
- 68 6.2 Understanding your Data Quickly with Graphical Tools.mp4 116.7 MB
- 56 5.1 Introduction to Databases with SQLite.mp4 116.5 MB
- 76 6.10 Ranking and Sorting Venues.mp4 115.1 MB
- 70 6.4 Data Quality Checks with peewee.mp4 112.9 MB
- 49 4.8 Data Models Applied—Representing Foursquare Entities with Classes.mp4 111.7 MB
- 40 3.12 Downloading Foursquare Venues.mp4 109.2 MB
- 05 1.3 The Potential of Data Science.mp4 105.5 MB
- 09 1.7 Test Your Knowledge - Wordbuzz.mp4 91.0 MB
- 24 2.10 Obtaining an Evaluation Baseline.mp4 89.4 MB
- 25 2.11 Inspecting and Evaluating Results.mp4 87.0 MB
- 69 6.3 Inspecting Databases and Building Schemas with peewee.mp4 86.7 MB
- 46 4.5 Defining Methods and Updating State.mp4 83.9 MB
- 29 3.1 The Data Science Mindset.mp4 82.9 MB
- 50 4.9 Modeling Behavior with Methods.mp4 81.8 MB
- 26 2.12 Present and Disseminate.mp4 81.3 MB
- 33 3.5 Making HTTP Requests with Python.mp4 81.1 MB
- 59 5.4 What's in a Schema Mapping Data Models to Data Tables.mp4 81.0 MB
- 43 4.2 Data Models—Adding Structure to Data.mp4 80.3 MB
- 01 Data Science Fundamentals Part 1 - Introduction.mp4 79.2 MB
- 31 3.3 Where to Get Data - Sources and Services.mp4 74.2 MB
- 39 3.11 Exploring the Foursquare API.mp4 73.6 MB
- 20 2.6 Recommendations through Triangle Closing.mp4 71.2 MB
- 53 4.12 Object-Oriented Programming Use Cases.mp4 70.2 MB
- 81 6.15 A Visual Introduction to Joins with SQL.mp4 65.9 MB
- 74 6.8 Inspecting Queries and Displaying Results in peewee.mp4 65.5 MB
- 75 6.9 Groups and Aggregates with peewee.mp4 64.9 MB
- 58 5.3 The Database Landscape.mp4 62.9 MB
- 07 1.5 A Python (3) Primer.mp4 62.9 MB
- 57 5.2 Inspecting Databases with the SQLite shell.mp4 62.0 MB
- 34 3.6 Adding Context with Open Data.mp4 59.5 MB
- 32 3.4 How the Web Works.mp4 59.2 MB
- 71 6.5 Finding Missing Data and Null Values with peewee.mp4 59.2 MB
- 67 6.1 Introduction to Exploratory Data Analysis.mp4 58.9 MB
- 45 4.4 Creating Classes in Python.mp4 56.5 MB
- 21 2.7 Python Development Workflow.mp4 53.3 MB
- 54 4.13 The Case for (and against) OOP.mp4 51.5 MB
- 12 1.10 Python for Data Science.mp4 49.8 MB
- 36 3.8 Data and File Formats.mp4 48.0 MB
- 63 5.8 End-to-end ETL in Python.mp4 47.8 MB
- 10 1.8 Wordbuzz - Putting it all Together.mp4 46.0 MB
- 30 3.2 The Data Science Technology Stack.mp4 44.0 MB
- 16 2.2 Defining Your Problem.mp4 43.6 MB
- 82 Data Science Fundamentals Part 1 - Sunmary.mp4 37.9 MB
- 44 4.3 Building Abstractions—Object Oriented Programming.mp4 35.4 MB
- 13 1.11 What’s to Come.mp4 34.9 MB
- 60 5.5 Introduction to Object Relational Mappers.mp4 33.3 MB
- 65 5.10 Extract, Transform, Load—Putting It All Together.mp4 30.1 MB
- 11 1.9 Python Review and Resources.mp4 29.9 MB
- 42 4.1 Introduction to the ETL Pipeline.mp4 28.6 MB
- 23 2.9 Challenges of Recommendation Systems.mp4 27.2 MB
- 04 1.2 Why Data Science and Why Now.mp4 27.2 MB
- 72 6.6 Dealing with Missing Data.mp4 26.6 MB
- 77 6.11 SQL Relations and Joins.mp4 26.4 MB
- 06 1.4 Getting Set Up with a Data Science Development Environment.mp4 23.3 MB
- 80 6.14 Translating peewee to SQL.mp4 21.6 MB
- 28 Topics.mp4 18.6 MB
- 02 Topics.mp4 18.2 MB
- 08 1.6 Python 2 versus Python 3.mp4 16.8 MB
- 15 2.1 Introduction to the Data Science Process.mp4 16.2 MB
- 64 5.9 Advantages and Disadvantages of ORMs.mp4 15.4 MB
- 66 Topics.mp4 15.0 MB
- 55 Topics.mp4 14.9 MB
- 73 6.7 EDA for Insight—Describing Data.mp4 14.7 MB
- 14 Topics.mp4 14.4 MB
- 27 2.13 The Data Science Process Applied—Cheaper Beds, Better Breakfasts.mp4 14.1 MB
- 41 Topics.mp4 13.5 MB
- 03 1.1 Welcome to the Course.mp4 10.8 MB
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