Pandas is a powerful Python library for data manipulation and analysis. This course will teach you how to use Pandas effectively for your data analysis needs.

Course Outline

  • Introduction to Pandas

    • Understanding the Pandas library
    • Basic data structures: Series and DataFrame
    • Data selection and manipulation

  • Data Loading and Cleaning

    • Loading data from different sources
    • Data cleaning and preprocessing
    • Handling missing values

  • Data Manipulation

    • Data transformation
    • Data aggregation
    • Grouping and merging data

  • Data Visualization

    • Creating basic plots
    • Advanced visualization techniques

  • Case Studies

    • Real-world examples using Pandas
    • Practice exercises

Prerequisites

  • Basic knowledge of Python
  • Understanding of data analysis concepts

Learning Objectives

  • Learn how to manipulate and analyze data using Pandas
  • Gain hands-on experience with real-world data analysis scenarios
  • Build a strong foundation for further data analysis projects

For more information on data analysis, check out our Introduction to Data Analysis course.

Pandas Library

Pandas is an essential tool for data analysis.

By the end of this course, you will be able to perform complex data analysis tasks with ease. Join us and start your journey towards becoming a data analysis expert!