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500_exercises_to_master_pandas's Introduction

500 Exercises to Master Python Pandas

1. Introduction

  1. Introduction
  2. Course structure and installation
  3. Reading data
  4. Exploring a DataFrame

2. Data exploration and manipulation

  1. Data types
  2. Column and row operations
  3. Date manipulation
  4. String manipulation
  5. Categorical data

3. Data filtering

  1. Missing values
  2. loc and iloc methods
  3. Filtering DataFrames

4. Combining DataFrames

  1. Combining DataFrames
  2. Merging DataFrames
  3. Reshaping DataFrames

5. Data analysis and visualization

  1. Data analysis
  2. Data visualization
  3. Time series analysis with Pandas

6. Use cases

  1. Data cleaning and analysis 1 (obesity dataset)
  2. Data cleaning and analysis 2 (customer churn dataset)

7. Bonus

  1. Python dictionaries with Pandas
  2. Pandas pipelines
  3. Styling DataFrames
  4. Functions not to forget

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