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There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and efficiently.
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What will you learn from this course?
1. Course Introduction
- Why Should You Take This Course?
- What Will You Achieve by Completing This Course?
2. Pandas Data Structures
- Pandas Series
- Pandas DataFrame
3. Creating a Data Frame
- Reading Data from a File
- Create a DataFrame
4. Exploring a Data Frame
- Size of a DataFrame
- Data Types of Columns
- Different Values in a Column
- Measures of Central Tendency
- Challenge: Find the Most Frequent Values in a Column
- Quiz Yourself: Exploring a DataFrame
5. Filtering a Data Frame
- Why Do We Need Filtering?
- Filtering with “loc” and “iloc” Methods
- Filtering by Selecting a Subset of Columns
- Filtering by Condition