Table of Contents

  1. Data Science in Practice
  2. Mathematics Essentials
  3. Statistics Essentials
  4. Exploratory Data Analysis
  5. Data preprocessing
  6. Feature Engineering
  7. Machine learning algorithms
  8. Productionizing ML models
  9. Data Flows in Enterprises
  10. Introduction to Databases
  11. Introduction to Big Data
  12. DevOps for Data Science
  13. Introduction to Cloud Computing
  14. Deploy Model to Cloud
  15. Introduction to Business Intelligence
  16. Data Visualization Tools
  17. Industry Use Case 1 – FormAssist
  18. Industry Use Case 2 – PeopleReporter
  19. Data Science Learning Resources
  20. Do It Your Self Challenges
  21. MCQs for Assessments