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Kaggle

Pandas

via Kaggle

Overview

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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

Syllabus

  • Creating, Reading and Writing
  • Indexing, Selecting & Assigning
  • Summary Functions and Maps
  • Grouping and Sorting
  • Data Types and Missing Values
  • Renaming and Combining

Taught by

Aleksey Bilogur

Reviews

4.0 rating, based on 2 Class Central reviews

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  • Profile image for Fateen Fatima
    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.

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