Pandas

Solve short hands-on challenges to perfect your data manipulation skills.

You can't work with data if you can't read it. Get started here.
Pro data scientists do this dozens of times a day. You can, too!
Extract insights from your data.
Scale up your level of insight. The more complex the dataset, the more this matters
Deal with the most common progress-blocking problems
Data comes in from many sources. Help it all make sense together

Aleksey Bilogur

Reviews

4.0 rating, based on 2 Class Central reviews

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Fateen Fatima

This Pandas course on Kaggle is an excellent introduction to one of the most essential Python libraries for data analysis. The lessons are well-structured, concise, and beginner-friendly. I appreciated the mix of short explanations followed by hands-on coding exercises, which helped solidify my understanding of key concepts like indexing, filtering, grouping, and merging DataFrames.

The interactive environment is a big plus — you can practice everything in-browser without worrying about setup. It’s perfect for learners who prefer learning by doing.

Overall, a highly practical and effective course that I would recommend to anyone starting with data analysis in Python.
DOSADA DEEPAK
1

This pandas micro-course intro offers a clear start for beginners. It covers pandas basics, DataFrames, Series, and real-world data examples with code. However, it lacks depth on advanced functionalities and assumes some Python knowledge. Consider the course length, target audience, and cost before enrolling.