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Computers
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Python
Getting Your Hands Dirty with Data
Getting Your Hands Dirty with Data
Curriculum
5 Sections
24 Lessons
10 Weeks
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Chapter 5: Understanding the Tools
3
1.1
Using the Jupyter Console
1.2
Using Jupyter Notebook
1.3
Performing Multimedia and Graphic Integration
Chapter 6: Working with Real Data
6
2.1
Uploading, Streaming, and Sampling Data
2.2
Accessing Data in Structured Flat-File Form
2.3
Sending Data in Unstructured File Form
2.4
Managing Data from Relational Databases
2.5
Interacting with Data from NoSQL Databases
2.6
Accessing Data from the Web
Chapter 7: Conditioning Your Data
8
3.1
Juggling between NumPy and pandas
3.2
Validating Your Data
3.3
Manipulating Categorical Variables
3.4
Dealing with Dates in Your Data
3.5
Dealing with Missing Data
3.6
Slicing and Dicing: Filtering and Selecting Data
3.7
Concatenating and Transforming
3.8
Aggregating Data at Any Level
Chapter 8: Shaping Data
4
4.1
Working with HTML Pages
4.2
Working with Raw Text
4.3
Using the Bag of Words Model and Beyond
4.4
Working with Graph Data
Chapter 9: Putting What You Know in Action
3
5.1
Contextualizing Problems and Data
5.2
Considering the Art of Feature Creation
5.3
Performing Operations on Arrays
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