Master Data Analysis with Python - Intro to Pandas

Description

In this course, you will learn :

• Pandas expert Ted Petrou, author of the Pandas Cookbook, shares his best practices.
• An introduction to Python data analysis with pandas.
• The DataFrame and Series components.
• Data types
• Data subsets are chosen.
• Using boolean selection to filter data.
• Completing exercises in Jupyter Noteboks.

Syllabus :

1. Intro to pandas

• What is pandas?
• pandas examples
• The DataFrame and Series
• Exercise Solutions - The DataFrame and Series
• Data Types and Missing Values
• Exercise Solutions - Data Types and Missing Values
• Setting a Meaningful Index
• Exercise Solutions - Setting a Meaningful Index
• Five Step Process for Data Exploration

 

2. Selecting Subsets of Data

• Selecting Subsets of Data from DataFrames with just the Brackets
• Exercise Solutions - Selecting Subsets of Data with Just the Brackets
• Selecting Subsets of Data from DataFrames with loc
• Exercise Solutions - Selecting Subsets of Data from DataFrames with loc
• Selecting Subsets of Data from DataFrames with iloc
• Exercise Solutions - Selecting Subsets of Data from DataFrames with iloc
• Selecting Subsets of Data from a Series

 

3. Boolean Indexing

• Boolean Indexing Single Conditions
• Exercise Solutions - Boolean Indexing Single Conditions
• Boolean Indexing Multiple Conditions
• Exercises Solutions - Boolean Indexing Multiple Conditions
• Boolean Indexing More
• Exercise Solutions - Boolean Indexing More
• Miscellaneous Subset Selection

 

4. Continuing the Master Data Analysis with Python Series

• Continue Master Data Analysis with Python Series

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