Data Science Basics

Intro to data science applied to Software Engineering problems. Refresher/intro to data science concepts and tools.

Learning Outcomes

• position data science in the scope of SE activities
• refresh knowledge of basic statistical approaches
• re-examine concepts on regression and interpretation of coefficients

Before Class

Lectures

• Data Mining Basics include search and optimize • video
• Regression • video

Readings

1. Confusion matrices - Wikipedia
2. R for Data Science - Tidy Data
3. EDA in R
4. Regression intro/overview, ROS ch 6.1-6.5

In Class

Slides

• In-class notes

Optional Readings and Activities

These readings enrich the material but are not strictly necessary to read.

1. Quarto overview