MA346 Course Notes
Course Notes for Data Science (MA346)
Notes
1. Introduction to Data Science
2. Mathematical Foundations
3. Jupyter
4. Review of Python and pandas
5. Before and After
6. Single-Table Verbs
7. Abstraction
8. Version Control
9. Mathematics and Statistics in Python
10. Visualization
11. Processing the Rows of a DataFrame
12. Concatenating and Merging DataFrames
13. Miscellaneous Munging Methods (ETL)
14. Dashboards
15. Relations as Graphs - Network Analysis
16. Relations as Matrices
17. Introduction to Machine Learning
Appendices
1. Detailed Course Schedule
2. Big Cheat Sheet
3. Anaconda Installation
4. VS Code for Python Installation
5. GB213 Review in Python
6. All Learning On Your Own Opportunities
7. All Big Picture Concepts
Index
