Data Science: Statistical Modeling & Inference
End: 3 weeks, 6 hrs. per week
Description: Over three weeks students will learn the fundamentals of machine learning and further their statistical knowledge with the field of Regression Analysis. Students will learn the differences between difference regression models and when and how to apply them with Python.
Prerequisites: Python 101, DataSci 200, and DataSci 201, or proficiency in Python and data acquisition and visualization techniques. If these courses were not completed, students are expected to complete Introductory Python on ByteDev, Mathematics for Data Science, as well as the additional assessment available on ByteDev.
- General Overview of Machine Learning
- Simple Linear Regression
- Multiple Linear Regression
- Non-Linear Regression
- Logistic Regression
- Time Series Regression