Exploratory
Data Analysis
45 Lessons · 3 Levels
Explore, analyze and visualize data with confidence — from distributions and outliers to advanced correlation, feature engineering and real-world EDA case studies.
45Lessons
3Levels
1Projects
FreeAccess
Level I
Beginner Level
Lessons 1–15
Lesson 01
Introduction to EDA
Lesson 02
Dataset Structure
Lesson 03
Data Types
Lesson 04
Central Tendency
Lesson 05
Dispersion Measures
Lesson 06
Missing Values
Lesson 07
Handling Missing Values
Lesson 08
Detecting Outliers
Lesson 09
Outlier Handling
Lesson 10
Distributions
Lesson 11
Normality Checks
Lesson 12
Skewness & Kurtosis
Lesson 13
Data Transformation
Lesson 14
EDA Workflow
Lesson 15
Data Quality Issues
Level II
Intermediate Level
Lessons 16–35
Lesson 16
Univariate Analysis
Lesson 17
Bivariate Analysis
Lesson 18
Multivariate Analysis
Lesson 19
Correlation Analysis
Lesson 20
Covariance Analysis
Lesson 21
Feature Relationships
Lesson 22
Categorical Exploration
Lesson 23
Numerical Exploration
Lesson 24
Group-By Summaries
Lesson 25
Multicollinearity
Lesson 26
Visualizing Distributions
Lesson 27
Visualizing Relationships
Lesson 28
Categorical Visuals
Lesson 29
Boxplots & Violin Plots
Lesson 30
Correlation Maps
Lesson 31
Time-Based EDA
Lesson 32
Handling Duplicates
Lesson 33
Feature Extraction Basics
Lesson 34
Domain-Driven EDA
Lesson 35
Documenting Findings
Level III
Advanced Level
Lessons 36–45