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Comprehensive Python

Learn Python for data analysis. Covers pandas, data wrangling, and common interview patterns.

8–10 weeks

6 modules

36 lessons

~16 hr 50 min total

160+ questions

What you'll learn

1

DataFrame Fundamentals

6 lessons · 4 hr

Introduction to Python & Pandas35 min Working with Columns35 min Filtering Rows50 min Combining Conditions50 min Working with Missing Data40 min Sorting and Limiting Results30 min

2

Aggregation & Grouping

6 lessons · 2 hr 50 min

Introduction to Aggregate Methods35 min Grouping Data35 min Filtering Groups20 min NaN in Aggregations15 min Conditional Aggregation35 min Combining Aggregation Techniques30 min

3

Combining DataFrames

8 lessons · 2 hr 45 min

Understanding DataFrame Relationships10 min Combining DataFrames with concat35 min Inner Merge30 min Left and Right Merge35 min Outer Merge5 min Cross Merge10 min Self-Merges25 min Merging Multiple DataFrames15 min

4

Multi-Step Analysis

6 lessons · 2 hr 55 min

Step-by-Step Analysis30 min The Transform Pattern25 min Chaining Analysis Steps25 min Patterns for Common Problems35 min Custom Logic with .apply()30 min Reshaping Data30 min

5

Dates, Strings & Logic

5 lessons · 2 hr 40 min

DateTime Extraction40 min Date Arithmetic and Truncation25 min String Methods30 min Pattern Matching and String Splitting40 min Combining Techniques25 min

6

Window Operations

5 lessons · 1 hr 40 min

Introduction to Window Operations10 min Ranking25 min Comparing Adjacent Rows20 min Cumulative and Running Calculations20 min Advanced Window Patterns25 min