- Computational Thinking for Data Science
- Introduction to Data Science in Python
- Working with Data with Pandas
- Supervised vs Unsupervised Classification
- Working with Time Series and Quantization
- Descriptive Statistics and Hypothesis Testing
- Applied Plotting, Charting, and Data Representation
- Applied Statistical and Machine Learning 1
- Overview of Advanced Topics and Final Practice Examination
- Capstone Project
* Course Outline is subject to change, depending on your Specialist Instructor