Table of Contents

  1. Fundamental of Data Science and Data Analytics
  2. Data Science Tools and Applications
  3. Fundamentals of Programming
  4. Introduction to Python Programming
  5. Data Analysis: NumPy and Pandas Library
  6. Data Visualization: Matplotlib and Seaborn Library
  7. Data Structures and Algorithms
  8. Database Management and Warehousing
  9. Data Acquisition, Data Mining and Big Data
  10. Data Pre-processing and Feature Engineering
  11. Probability and Statistics
  12. Linear Algebra
  13. Calculus and Optimization
  14. Artificial Intelligence
  15. Machine Learning
  16. Deep Learning
  17. Pattern Recognition and Knowledge Representation
  18. Natural Language Processing and Text Analytics
  19. Web Analytics and Mining
  20. Computer Vision