Pandas

Curriculum

8 chapters, each with a tutorial, a live example, a quiz, an exercise, a challenge, and class practice.

1. 1

   Introduction to Pandas

   Series, DataFrames, and reading real data.

   preview
2. 2

   Series & DataFrames

   The two core pandas data structures.

3. 3

   Reading Data

   read_csv, read_excel, and inspecting a dataset.

4. 4

   Filtering & Selecting

   Boolean indexing and column selection.

5. 5

   GroupBy

   Splitting, applying, and combining data.

6. 6

   Merging & Joining

   Combining multiple DataFrames.

7. 7

   Handling Missing Data

   dropna, fillna, and detecting nulls.

8. 8

   Pivot Tables

   Reshaping data for summary views.