pandas Essential Training

Description

In this course, you will :

• Learn how to use the pandas library and data analysis and data structuring tools.
• DataFrames, basic plotting, indexing, and groupby are among the topics covered.
• learn how to work more effectively with data, Jonathan leads you through a series of exercises based on the same large, publicly available data set: Olympic medal winners from 1896 to 2008.

Syllabus :

1. Technical Setup

• Installing Anaconda
• Downloading the data set
• Using the Jupyter notebook
• Using Pandas

 

2. Series and DataFrames

• DataFrames
• Series

 

3. Data Input and Validation

• Using read_csv()
• Using shape
• Using head() and tail()
• Using info()

 

4. Basic Analysis

• Using value_counts()
• Using sort_values()
• Boolean indexing
• String handling

 

5. Basic Plotting

• Basic plotting
• Colors
• Figsize
• Colormaps
• Seaborn basic plotting

 

6. Indexing

• Index
• Using set_index()
• Using reset_index()
• Using sort_index()
• Using loc[]

 

7. Groupby

• Groupby
• Iterate through a group
• Groupby computations

 

8. Reshaping

• Reshaping
• Using stack()
• Using unstack()

 

9. Data Visualizations

• Learning heatmaps
• Creating your own colormaps

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