EDA Course Index – Dataplexa
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EDA Course Index

Explore, analyze, visualize and understand data with 45 structured lessons covering beginner, intermediate and advanced EDA techniques.

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I. Beginner Level (15 Lessons)

1. Introduction to EDA 2. Dataset Structure 3. Data Types 4. Central Tendency 5. Dispersion Measures 6. Missing Values 7. Handling Missing Values 8. Detecting Outliers 9. Outlier Handling 10. Distributions 11. Normality Checks 12. Skewness & Kurtosis 13. Data Transformation 14. EDA Workflow 15. Data Quality Issues

II. Intermediate Level (20 Lessons)

16. Univariate Analysis 17. Bivariate Analysis 18. Multivariate Analysis 19. Correlation Analysis 20. Covariance Analysis 21. Feature Relationships 22. Categorical Exploration 23. Numerical Exploration 24. Group-By Summaries 25. Multicollinearity 26. Visualizing Distributions 27. Visualizing Relationships 28. Categorical Visuals 29. Boxplots & Violin Plots 30. Correlation Maps 31. Time-based EDA 32. Handling Duplicates 33. Feature Extraction Basics 34. Domain-Driven EDA 35. Documenting Findings

III. Advanced Level (10 Lessons)

36. Advanced Outlier Detection 37. Advanced Imputation 38. Feature Engineering via EDA 39. PCA Insights 40. EDA for Regression 41. EDA for Classification 42. EDA for Time Series 43. EDA for NLP 44. Automated EDA Tools 45. EDA Case Study