Learn Data Science using Python Step by Step

Here is how you can learn Python step by step

  1. Setup Python environment
  2. How to start jupyter notebook
  3. Install and check Packages
  4. Arithmetic operations
  5. Comparison or logical operations
  6. Assignment and augmented assignment in Python
  7. Variables naming conventions
  8. Types of variables in Python and typecasting
  9. Python Functions
  10. Exception handling in Python
  11. String manipulation and indexing
  12. Conditional and loops in Python
  13. Python data structure and containers
  14. Introduction to Python Numpy
  15. Introduction to Python SciPy
  16. Introduction to Python Pandas
  17. Python pivot tables
  18. Pandas join tables
  19. Missing value treatment
  20. Dummy coding of categorical variables 
  21. Basic statistics and visualization
  22. Data standardization or normalization
  23. Linear Regression with scikit- learn (Machine Learning library)
  24. Logistic Regression with scikit- learn (Machine Learning library)
  25. Hierarchical clustering with Python
  26. K-means clustering with Scikit Python
  27. Decision trees using Scikit Python
  28. Principal Component Analysis (PCA) using Scikit Python- Dimension Reduction
  29. Linear Discriminant Analysis (LDA) using Scikit Python- Dimension Reduction and Classification
  30. Market Basket Analysis or Association Rules or Affinity Analysis or Apriori Algorithm
  31. Recommendation Engines using Scikit-Surprise
  32. Price Elasticity of Demand using Log-Log Ordinary Least Square (OLS) Model
  33. Other topics (coming soon)

Cheers!

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