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Getting Your Hands Dirty with Data
Curriculum
5 Sections
21 Lessons
10 Weeks
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Chapter 5: Working with Jupyter Notebook
2
1.1
Using Jupyter Notebook
10 mins
1.2
Performing Multimedia and Graphic Integration
10 mins
Chapter 6: Working with Real Data
6
2.1
Uploading, Streaming, and Sampling Data
10 mins
2.2
Accessing Data in Structured Flat-File Form
10 mins
2.3
Sending Data in Unstructured File Form
10 mins
2.4
Managing Data from Relational Databases
10 mins
2.5
Interacting with Data from NoSQL Databases
10 mins
2.6
Accessing Data from the Web
10 mins
Chapter 7: Processing Your Data
8
3.1
Juggling between NumPy and pandas
10 mins
3.2
Validating Your Data
10 mins
3.3
Manipulating Categorical Variables
10 mins
3.4
Dealing with Dates in Your Data
10 mins
3.5
Dealing with Missing Data
10 mins
3.6
Slicing and Dicing: Filtering and Selecting Data
10 mins
3.7
Concatenating and Transforming
10 mins
3.8
Aggregating Data at Any Level
10 mins
Chapter 8: Reshaping Data
2
4.1
Using the Bag of Words Model to Tokenize Data
10 mins
4.2
Working with Graph Data
10 mins
Chapter 9: Putting What You Know into Action
3
5.1
Contextualizing Problems and Data
10 mins
5.2
Considering the Art of Feature Creation
10 mins
5.3
Performing Operations on Arrays
10 mins
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