Module 4 | Table of Contents | Data Science Using Python
12 Chapters | 45 hours to complete | 3 Videos | 45 Hands-on Activities | 12 Assessments + Key Assignment
Chapter 1: Knowledge Module – Introduction to Data Science
2 hours to complete | 2 Videos | 1 Hands-on Activity | 1 Assessment
Chapter 2: Knowledge Module – Statistics
3 hours to complete | 3 Hands-on Activities | 1 Assessment
Chapter 3: Knowledge Module – Data Storytelling and Exploratory Data Analysis
5 hours to complete | 23 Hands-on Activities | 1 Assessment
Chapter 4: Skills Module – Data Visualization Using Tableau
4 hours to complete | 4 Hands-on Activities | 1 Assessment
Chapter 5: Skills Module – MySQL
3 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 6: Knowledge Module – Data Science Foundations
2 hours to complete | 1 Assessment
Chapter 7: Skills Module – Data Analytics
4 hours to complete | 1 Video | 2 Hands-on Activities | 1 Assessment
Chapter 8: Skills Module – Linear Regression
4 hours to complete | 4 Hands-on Activities | 1 Assessment
Chapter 9: Skills Module – Logistic Regression
4 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 10: Skills Module – Decision Tree and Random Forest
5 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 11: Knowledge Module – Model Evaluation
4 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 12: Experiential Module – Data Visualization using Power BI
5 hours to complete | 4 Hands-on Activities | 1 Assessment
