Master Data Analysis with Python - Intro to Pandas

Begin your data analysis journey with Python by mastering the fundamentals of the pandas library
Free tutorial
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37,978 students
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Best practices from pandas expert Ted Petrou author of Pandas Cookbook
An introduction to data analysis with Python using pandas
The components of the DataFrame and Series
Data types
Selecting subsets of data
Filtering data via boolean selection
Exercise completion within Jupyter Noteboks


  • It is assumed that you have some knowledge of the fundamentals of Python


Master Data Analysis with Python - Intro to Pandas targets those who want to completely master doing data analysis with pandas. This course provides an introduction to the components of the two primary pandas objects, the DataFrame and Series, and how to select subsets of data from them.

This course is taught by expert instructor Ted Petrou, author of the highly-rated book Pandas Cookbook. Ted has taught over 1,000 hours of live in-person data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library.

There are nearly 50 exercises available to help practice the material taught from the lectures. Detailed video and text solutions for each of the exercises are available so that you can see exactly how Ted thinks through the exercises to arrive at a solution.

All of the material and exercises are written in Jupyter Notebooks, which you will be able to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place. Additionally, the full contents of the course are available as a 120-page document giving you access to the material from anywhere.

This course targets those who have an interest in becoming experts and completely mastering the pandas library for data analysis in a professional environment. This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis.

This course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.

This course is the first from the 10-part series Master Data Analysis with Python. The second part is titled Master Data Analysis with Python - Essential Pandas Commands.

Who this course is for:

  • A desire to completely master data analysis in Python using pandas
  • A desire to have a very deep introduction to subset selection of a DataFrame or Series
  • Interested in pandas best practices for effectiveness and efficiency
  • A desire to use pandas in a professional environment

Course content

5 sections32 lectures5h 8m total length
  • Downloading the Course Material
  • Exploring the Course Contents
  • Opening the Material with Jupyter Notebooks
  • Jupyter Notebook Tips and Tricks
  • Working through a Notebook from the Course
  • About to Begin!


Author of Pandas Cookbook, Founder of Dunder Data
Ted Petrou
  • 4.7 Instructor Rating
  • 1,364 Reviews
  • 44,845 Students
  • 5 Courses

I am the author of Pandas Cookbook and Master Data Analysis with Python, highly rated texts on performing real-world data analysis with Pandas.

I am the founder of Dunder Data, a company that teaches the fundamentals of data science and machine learning. I enjoy discovering best practices on how to use and teach data analysis with Python.

I also enjoy creating open-source Python libraries and am author of Dexplot, Bar Chart Race, DataFrame Image, and Jupyter to Medium.