CadetX
CadetX
CX Learn
Data Analysis with pandas
Data Wrangling

Learn pandas Online Free: Interactive Data Analysis Course with Certificate

Learn pandas by working with real data, not just reading about it. This free, self-paced course teaches Python data analysis through 12 autograded modules that run in your browser. You'll work through DataFrames, data cleaning, filtering, transformations, grouping, reshaping and time-series analysis on real-world datasets, with instant feedback on every exercise and a free, verifiable certificate when you pass the exam.

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This is presented toCadetX StudentFor completing Data Analysis with pandas course
Batch: CX-PD_01Date: 2 Nov 2026
Certificate Included

Course Curriculum

12 interactive lessons with real-time autograding

1
Module 1

Introduction to Pandas

Series and DataFrame basics, creating datasets, and index inspection.

2
Module 2

Loading & Inspecting Data

Reading CSV/Excel, info, describe, head, tail, and dtypes.

3
Module 3

Selecting & Indexing

loc, iloc, boolean indexing, column selection, and query filtering.

4
Module 4

Sorting & Ranking

Sorting values, multi-index sort, ranking data, and nlargest/nsmallest.

5
Module 5

Cleaning Data

Handling nulls (dropna, fillna), duplicates, and string cleaning.

6
Module 6

Transforming Data

apply, map, replace, vector math, and custom lambda functions.

7
Module 7

Grouping & Aggregation

groupby, agg, transform, pivot_table, and cross-tabulations.

8
Module 8

Combining & Reshaping

merge, join, concat, melt, and stack/unstack operations.

9
Module 9

Datetime & Time Series

to_datetime, date components, resampling, rolling windows, and shifting.

10
Module 10

Plotting

Built-in plotting with matplotlib backend: histograms, lines, and bars.

11
Module 11

Method Chaining & Performance

Pipeline chaining, memory optimization, and categorical types.

12
Module 12

Capstone Project

Comprehensive real-world exploratory data analysis and reporting.