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Juvenile Nonfiction
Computers
Coding & Programming
Data Analysis with Python
Data Analysis with Python
Curriculum
4 Sections
20 Lessons
10 Weeks
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Chapter 1: Conditioning Your Data
16
1.1
Juggling between NumPy and pandas
1.2
Quiz for Juggling between NumPy and pandas
6 Questions
1.3
Validating Your Data
1.4
Quiz for Validating Your Data
7 Questions
1.5
Manipulating Categorical Variables
1.6
Quiz for Manipulating Categorical Variables
6 Questions
1.7
Dealing with Dates in Your Data
1.8
Quiz for Dealing with Dates in Your Data
5 Questions
1.9
Dealing with Missing Data
1.10
Quiz for Dealing with Missing Data
7 Questions
1.11
Slicing and Dicing: Filtering and Selecting Data
1.12
Quiz for Slicing and Dicing: Filtering and Selecting Data
5 Questions
1.13
Concatenating and Transforming
1.14
Quiz for Concatenating and Transforming
6 Questions
1.15
Aggregating Data at Any Level
1.16
Quiz for Aggregating Data at Any Level
7 Questions
Chapter 2: Shaping Data
7
2.1
Working with HTML Pages
2.2
Working with Raw Text
2.3
Quiz for Working with Raw Text
7 Questions
2.4
Using the Bag of Words Model and Beyond
2.5
Quiz for Using the Bag of Words Model and Beyond
6 Questions
2.6
Working with Graph Data
2.7
Quiz for Working with Graph Data
6 Questions
Chapter 3: Getting a Crash Course in MatPlotLib
8
3.1
Starting with a Graph
3.2
Quiz for Starting with a Graph
6 Questions
3.3
Setting the Axis, Ticks, Grids
3.4
Quiz for Setting the Axis, Ticks, Grids
6 Questions
3.5
Defining the Line Appearance
3.6
Quiz for Defining the Line Appearance
7 Questions
3.7
Using Labels, Annotations, and Legends
3.8
Quiz for Using Labels, Annotations, and Legends
6 Questions
Chapter 4: Visualizing the Data
8
4.1
Choosing the Right Graph
4.2
Quiz for Choosing the Right Graph
8 Questions
4.3
Creating Advanced Scatterplots
4.4
Quiz for Creating Advanced Scatterplots
5 Questions
4.5
Plotting Time Series
4.6
Quiz for Plotting Time Series
6 Questions
4.7
Visualizing Graphs
4.8
Quiz for Visualizing Graphs
8 Questions
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