Table of Contents

  1. Data Science Fundamentals
  2. Installing Software and Setting up
  3. Lists and Dictionaries
  4. Function and Packages
  5. NumPy Foundation
  6. Pandas and Data-frame
  7. Interacting with Databases
  8. Thinking Statistically in Data Science
  9. How to import data in Python?
  10. Cleaning of imported data
  11. Data Visualisation
  12. Data Pre-processing
  13. Supervised Machine Learning
  14. Unsupervised Machine Learning
  15. Handling Time-Series Data
  16. Time-Series Methods
  17. Case Study