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Course Description
Discover Data Manipulation with pandas
With this course, you’ll learn why pandas is the world's most popular Python library, used for everything from data manipulation to data analysis. You’ll explore how to manipulate DataFrames, as you extract, filter, and transform real-world datasets for analysis.With pandas, you’ll explore all the core data science concepts. Using real-world data, including Walmart sales figures and global temperature time series, you’ll learn how to import, clean, calculate statistics, and create visualizations—using pandas to add to the power of Python.
Work with pandas Data to Explore Core Data Science Concepts
You’ll start by mastering the pandas basics, including how to inspect DataFrames and perform some fundamental manipulations. You’ll also learn about aggregating DataFrames, before moving on to slicing and indexing.You’ll wrap up the course by learning how to visualize the contents of your DataFrames, working with a dataset that contains weekly US avocado sales.
Learn to Manipulate DataFrames
By completing this pandas course, you’ll understand how to use this Python library for data manipulation. You’ll have an understanding of DataFrames and how to use them, as well as be able to visualize your data in Python.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In other tracks
Python Data Fundamentalsresources
Avocado pricesCourse Glossary: Data Manipulation with pandasHomelessness dataWalmart salesTemperaturescollaborators
prerequisites
Intermediate Python
Maggie MatsuiCurriculum Manager at DataCamp
Maggie is a Data Scientist at Etsy. She holds a degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statistics as a tutor and teaching assistant. She's passionate about teaching all things data-related and making programming accessible to everyone.
Richie CottonData Evangelist at DataCamp
Richie is a Data Evangelist at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.
Yusuf SaberChief AI Officer, DataCamp
Yusuf is the Chief AI Officer at DataCamp, where he leads the company’s AI strategy and product innovation. He founded Optima, an AI-native learning platform that was acquired by DataCamp in 2025. Previously, Yusuf led data and AI teams at Careem (acquired by Uber) and Talabat (part of Delivery Hero), where he built scalable machine learning systems. He holds a Master’s degree in Machine Learning from ETH Zurich (Swiss Federal Institute of Technology).
Yassin Zain AlabdeenStaff Engineer, DataCamp
Yassin is a Staff Engineer at DataCamp, where he focuses on AI-powered learning experiences. He was a member of the technical founding team at Optima, an AI-native learning platform acquired by DataCamp in 2025. Previously, Yassin spent four years at Talabat (part of Delivery Hero), where he led the effort to build the company's in-house fraud prevention solution. He holds a Bachelor's degree in Computer Engineering from Middle East Technical University (METU) and a Master's degree in Data Science from Heriot-Watt University.
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