Learn Pandas
Turn messy CSVs, JSON, and event logs into clean, analysis-ready data with Pandas and Polars.
Author
Miriah Peterson
Miriah Peterson is a data engineer, Google Developer Expert in Go, and the founder of SoyPete Tech, where she teaches Go, data engineering, and AI through courses, conference talks, and live streams. She is also a dedicated community builder, organizing GoWestConf and serving on the board of the Forge Utah Foundation.
Boot.dev Team
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32 Hours
of content
105 Addicting
lessons
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What you'll learn in this Pandas course
Learn how to manipulate data in Python with Pandas, the industry-standard data analysis library. You'll load messy JSON, CSV, and Parquet files, then clean, filter, merge, and aggregate them into analysis-ready datasets. You'll even learn about Polars, a faster, modern alternative to Pandas.
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Join 1,953 students in the Learn Pandas course
Read reviews of their learning experiences
a very usefull course thanks for the creators
Zenati Mohammed Abdelillah
Algeria
Was quite difficult for someone outside of computer field, but the exercises are fun and lessos are easy to study
Aadarsha Poudyal
Dhulikhel, Kathmandu
I really enjoyed this course, this was perfect for me, as i have worked with pandas before, but a long time ago and not for analytics work, learning about pivot tables, and other analytics topics was great, and learning about polars at the end was a great additional. I really recommend this course to anyone who wants to get started with pandas, or even as a revision.
Kirtan Parekh
United States
Great Course
Guilherme Zanella
Brazil
This course is indeed not only about Pandas - it covers a lot of ground. It first gives you a great introduction and onboarding to Pandas and explains how it fits into data-related work. Then it moves into the practical side of things and, towards the end, introduces Polars - another modern data manipulation library. All the important nuances are touched upon, and the tasks give you plenty of opportunities to tinker with the functionality and get more or less comfortable with it.
Gregory Yevgraphov
Serbia
Very complete course, does not only give knowledge about pandas, but also instills good practices for data analysis. I found myself wishing for a chapter on jupyter notebooks and a chapter with "real-life" exercies without so much handholding.
C Herdin
Mexico
I cannot express how valuabale this course is to me. I actually started learning pyspark months ago becuase I work with databricks but I struggled with the syntax ... now that i understand pandas it pyspark makes so much more sense now. I hope the boot.dev team publish a pyspark course.
Anthony Tobi
Lithuania
I used Pandas at my work before and used this course to refresh my memory on how to use it and still learned a lot!
Tomasz Nowakowski
Poland
Great intro to pandas
Jeremy Cribb
United States
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