Curriculum

14 Chapters · 14 Lessons

  1. 1

    Book Preview

    1. Ultimate Pandas for Data Manipulation and Visualization Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Pandas and Data Analysis

    1. (Included in full purchase)

      Introduction to Pandas and Data Analysis

  4. 4

    Chapter 2 : Pandas Series

    1. (Included in full purchase)

      Pandas Series

  5. 5

    Chapter 3 : Pandas DataFrame

    1. (Included in full purchase)

      Pandas DataFrame

  6. 6

    Chapter 4 : Data Cleaning with Pandas

    1. (Included in full purchase)

      Data Cleaning with Pandas

  7. 7

    Chapter 5 : Data Filtering with Pandas

    1. (Included in full purchase)

      Data Filtering with Pandas

  8. 8

    Chapter 6 : Grouping and Aggregating Data

    1. (Included in full purchase)

      Grouping and Aggregating Data

  9. 9

    Chapter 7 : Reshaping and Pivoting in Pandas

    1. (Included in full purchase)

      Reshaping and Pivoting in Pandas

  10. 10

    Chapter 8 : Joining and Merging Data in Pandas

    1. (Included in full purchase)

      Joining and Merging Data in Pandas

  11. 11

    Chapter 9 : Introduction to Time Series Analysis in Pandas

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      Introduction to Time Series Analysis in Pandas

  12. 12

    Chapter 10 : Visualization Using Matplotlib

    1. (Included in full purchase)

      Visualization Using Matplotlib

  13. 13

    Chapter 11 : Analyzing Bank Customer Churn Using Pandas

    1. (Included in full purchase)

      Analyzing Bank Customer Churn Using Pandas

  14. 14

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.

About the Author

Tahera Firdose holds a postgraduate degree in Artificial Intelligence and has made significant strides in the fields of data analysis and machine learning. Her academic background, combined with her passion for these domains, has propelled her into a prominent position as an educator, blogger, and community influencer.