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Python for Data

Reading, cleaning, summarising and presenting data. The first two units use nothing but the standard library, so they run in the browser exactly as the lessons describe.

1

Data in Plain Python

Rows, records, files and summaries, using nothing but the standard library.

6 lessons Free
2

Cleaning and Shaping

Missing values, wrong types, duplicates and the order you fix them in.

6 lessons Free
3

Arrays with numpy

One type, one block of memory, and arithmetic that applies to everything at once.

6 lessons Account needed
4

Series and DataFrames

The two pandas objects, and the labels that make them different from arrays.

6 lessons Account needed
5

Getting Data In

Files, headers, missing markers and the types they arrive as.

6 lessons Account needed
6

Filtering and Deriving

Choosing rows, and building the column that answers your question.

6 lessons Account needed
7

Grouping and Aggregating

Split the table, work on each part, and put the answers back together.

6 lessons Account needed
8

Combining Tables

Joins, keys that do not match, and reshaping between wide and long.

6 lessons Account needed
9

Time Series

Dates as dates, and the questions only an ordered index can answer.

6 lessons Account needed
10

Visualising and Reporting

Turning a table into a number, a chart and a sentence somebody can act on.

6 lessons Account needed