Python Pandas for Data Analysis

What will you learn?

Use Pandas to select and filter rows, handle missing values, clean text, group and aggregate records, merge related tables, and reshape reports. Then work with timestamps, rolling windows, and week-over-week changes.

The final module combines these skills into device, search-query, result-position, and weekly performance reports. You will distinguish search-level click-through rate from result-level click-through rate and export a report as CSV.

How the course works

Each lesson includes an explanation, a table illustration, and three coding steps: Learn, Try, and Check. Run your Python code in the browser to see its output and check your answer. No local installation is needed.

You work with four related DataFrames: searches, search_results, clicks, and pages. The Google Search analysis scenario is used throughout; the course is independently produced by DataInterview and is not affiliated with Google.

Who is this course for?

Analysts, aspiring data scientists, and SQL users learning to analyze tabular data in Python. You should already understand Python variables, lists, and function calls. No prior Pandas experience is required.

What is free?

Everyone can read all 36 lessons. Sign in to run code and use hints and solutions in the first four lessons. Premium unlocks practice, hints, and solutions for lessons 5–36, plus custom code in the database workspace. There is no daily practice limit.