MTH 208 Exploratory Data Analysis

Course Information

Course Syllabus

Software Information

Final Project Description

Student Projects

Lecture Notes

Lesson 01: Introduction to EDA (PDF, HTML)

Lesson 02: Types of Data & Data Structures (PDF, HTML)

Lesson 03: Descriptive Statistics & Data Summarization (PDF, HTML)

Lesson 04: Data Visualization Fundamentals (PDF, HTML)

Lesson 05: Color Theory & Accessibility in Visualization (PDF, HTML)

Lesson 06: Pattern Recognition and Association Analysis (PDF, HTML)

Notebook for the code used in Lesson 06 can be found here.

Lesson 07: Clustering and Dimensionality Reduction (PDF, HTML)

Lesson 08: Time-Series Analysis (PDF, HTML)

Lesson 09: Storytelling with Data (PDF, HTML)

Lesson 10: Ethical Considerations in EDA (PDF, HTML)

Lesson 11: Interactive and Dynamic Visualizations

Lesson 12: Handling Large Datasets

Lesson 13: Modern EDA Tools and Libraries