Pandas (Kaggle Learn)

Name: Pandas (Kaggle Learn)
Availability: InStock

4 hours 4.8(58,000 reviews)Free

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At a glance

Rating: Rating 4.8
Hours: 4
Cost: Free

Certificate available on completion.

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Kaggle Learn's Pandas course is a free 4-hour introduction to the pandas Python library, which is the industry standard for data analysis. You learn data structures (Series and DataFrames), data selection, filtering, grouping, and merging datasets. All lessons run in Kaggle's browser notebooks, so no local setup needed. After finishing, you can load, clean, and explore real datasets in Python. The main limitation: there's no video, only text lessons with embedded code, and the course is quite terse. It's a sprint, not a leisurely stroll. If you need more hand-holding, pair it with freeCodeCamp's Data Analysis with Python course, which covers similar ground with more explanation.

Pandas is used by over 85% of data scientists and analysts in industry according to Kaggle's 2023 State of Data Science survey (source: kaggle.com/surveys).

About This Course

Kaggle Learn's 4-hour Pandas course. Covers DataFrames and Series, indexing, summarising data, grouping, sorting, data types, missing values, renaming, and combining DataFrames.

Course Details

Platform: Kaggle Learn
Language: Python
Level: beginner
Duration: 4h
Certificate: Yes, included
Cost: Free

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Frequently Asked Questions

Is Kaggle Learn's Pandas course free?

Yes, completely free. No signup fees, no paywall, and no premium tier for the lessons.

Do I need to know Python first?

Yes, basic Python (variables, loops, functions) is required. If you're new to Python, take a free Python course first, then come back to pandas.

What's the difference between Series and DataFrames?

A Series is a single column of data; a DataFrame is a table with multiple columns. Most of data analysis work uses DataFrames.

Will I be able to work with real data after this?

For straightforward data cleaning and exploration, yes. For complex statistical analysis or machine learning, you'll want to pair this with more specialized courses afterward.

Is this better than learning from documentation?

For a beginner, yes. Kaggle's course is structured lessons with examples you run immediately. The documentation is your reference once you understand the basics.

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