Data Science & Analytics with Python · Tutorial tracks

Python for data science

NumPy-first mental models, tidy pandas workflows, visualization discipline.

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Lesson outline

  1. 49
    Python for data science — Part 027

    Placeholder slot — edit in console (python-data-science-stub-027).

  2. 50
    Missing Values: fillna & dropna

    Handle missing values in pandas with fillna and dropna. Practical Python for data science steps, troubleshooting, and next-lesson connection.

  3. 51
    Python for data science — Part 028

    Placeholder slot — edit in console (python-data-science-stub-028).

  4. 52
    Group Data with Groupby

    Group data with groupby operations in Python for data science. This lesson covers core concepts, step-by-step methods, hands-on exercises, troubleshooting, and next steps for efficient data grouping.

  5. 53
    Python for data science — Part 029

    Placeholder slot — edit in console (python-data-science-stub-029).

  6. 54
    Boolean Indexing in Python

    Master boolean indexing to filter rows in pandas and NumPy with clear, hands-on examples. Perfect for data scientists.

  7. 55
    Python for data science — Part 030

    Placeholder slot — edit in console (python-data-science-stub-030).

  8. 56
    Sort and rank data in pandas

    Learn to sort and rank data in pandas with this hands-on Python for data science tutorial. Master key methods, practice with real examples, and discover what to study next.

  9. 57
    Python for data science — Part 031

    Placeholder slot — edit in console (python-data-science-stub-031).

  10. 58
    Convert pandas Series Data Types

    Convert data types in pandas Series — Python for data science.

  11. 59
    Python for data science — Part 032

    Placeholder slot — edit in console (python-data-science-stub-032).

  12. 60
    Export DataFrames to CSV & Excel

    Export DataFrames to CSV and Excel — Python for data science. Hands-on steps, troubleshooting, and what to study next.

    Python for data science — step-by-step tutorials

    What you will find here

    This track walks through python for data science in order — each lesson is server-rendered HTML you can read without JavaScript. Follow the outline, then practice in the browser IDE when a lesson links to runnable code.

    Tutorials vs quizzes and code samples

    Tutorials teach in sequence. For quick checks use quizzes. For copy-paste snippets see code samples. For deeper reading browse articles.