Develop essential data science & ai skills with expert instruction and practical examples.
Welcome to our Pandas crash course. This course is designed to provide you with a practical guide to using Pandas, the popular data manipulation library in Python. We've included real-life examples and reusable code snippets to help you quickly apply what you learn to your own data analysis projects.
Throughout this course, you will learn how to:Describe the Anatomy of Pandas Data Structures. This includes Pandas DataFrames, Series, and Indices. Implement several methods to get data into and from Pandas DataFrames.
These methods include Python Native Data Structures, Tabular data files, API queries and JSON format, web scraping, and more. Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types.
Understand Pandas Data Types and the correct use case for each type. Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more.
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