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Learn pandas, the Python library analysts and data scientists use every day. Each lesson explains one idea with diagrams, real pandas code you can edit and run in your browser, and a quick knowledge check.

  • 14 days
  • ~30 min / day
  • Beginner
  • Free account required
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Start Day 1

The big picture

Everything you'll cover, and how it fits together.

Mind map · click a dot to fold, drag to pan

Day by day

Go at your own pace. Your progress is remembered on this device.

  1. 1
    Day 1Up next 30 min

    Meet pandas

    Series, DataFrames and your first look at a dataset.

    SeriesDataFramedescribe()
  2. 2
    Day 2 30 min

    Loading & Inspecting Data

    Read CSV files and get to know a new dataset fast.

    read_csv()info()value_counts()
  3. 3
    Day 3Coming soon 30 min

    Selecting Data

    Pick the rows and columns you need.

    loc / ilocBoolean filtersquery()
  4. 4
    Day 4Coming soon 30 min

    Cleaning Data

    Fix missing values, duplicates and wrong types.

    Missing valuesDuplicatesData types
  5. 5
    Day 5Coming soon 30 min

    Transforming Columns

    Create and change columns the pandas way.

    Vectorised mathsassign()String methods
  6. 6
    Day 6Coming soon 30 min

    Dates & Times

    Parse, extract and resample dates.

    to_datetime().dt accessorresample()
  7. 7
    Day 7Coming soon 30 min

    Sorting & Ranking

    Order data and find the top and bottom.

    sort_values()nlargest()rank()
  8. 8
    Day 8Coming soon 30 min

    Grouping & Aggregating

    Split, apply, combine with groupby.

    groupby()agg()transform()
  9. 9
    Day 9Coming soon 30 min

    Reshaping Data

    Pivot, melt and cross-tabulate.

    pivot_table()melt()crosstab()
  10. 10
    Day 10Coming soon 30 min

    Combining Data

    Merge, join and concatenate tables.

    merge()Join typesconcat()
  11. 11
    Day 11Coming soon 30 min

    Time-Series Analysis

    Rolling averages, growth and comparisons over time.

    rolling()shift()pct_change()
  12. 12
    Day 12Coming soon 30 min

    Visualising Data

    Turn DataFrames into clear charts.

    plot()Chart typesMatplotlib
  13. 13
    Day 13Coming soon 30 min

    Writing Better pandas

    Fast, readable code and common pitfalls.

    Method chainingCategoricalsPerformance
  14. 14
    Day 14Coming soon 30 min

    Capstone: Analyse a Dataset

    Answer real questions from raw data, end to end.

    CleanAnalysePresent