Python Pandas Tutorials for Data Analysis (Corey Schafer)

About this course

Corey Schafer's pandas series uses a real survey dataset to teach the everyday work of data analysis in Python. Who it's for: Python users starting with data analysis. These are the free, official videos of the "Pandas Tutorials" playlist from the Corey Schafer YouTube channel (youtube.com/@coreyms). All videos belong to Corey Schafer; Sikhami is not affiliated with Corey Schafer and simply arranges the public playlist into a course, so you can learn one lesson at a time and keep track of your progress.

What you will learn

• Installing pandas and loading data • DataFrames and Series: selecting rows and columns • Indexes and filtering with conditions • Updating, adding and removing rows and columns • Sorting, grouping and aggregating data • Cleaning data: data types and missing values • Working with dates, and reading and writing Excel, JSON and SQL

Course content

1 section · 11 lectures · 5h 19m

1. 1. Pandas Tutorials

   • Python Pandas Tutorial (Part 1): Getting Started with Data Analysis - Installation and Loading Data23m
   • Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns33m
   • Python Pandas Tutorial (Part 3): Indexes - How to Set, Reset, and Use Indexes17m
   • Python Pandas Tutorial (Part 4): Filtering - Using Conditionals to Filter Rows and Columns23m
   • Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames40m
   • Python Pandas Tutorial (Part 6): Add/Remove Rows and Columns From DataFrames16m
   • Python Pandas Tutorial (Part 7): Sorting Data15m
   • Python Pandas Tutorial (Part 8): Grouping and Aggregating - Analyzing and Exploring Your Data49m
   • Python Pandas Tutorial (Part 9): Cleaning Data - Casting Datatypes and Handling Missing Values31m
   • Python Pandas Tutorial (Part 10): Working with Dates and Time Series Data35m
   • Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc32m