📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Data Science for Supply Chain: Basics, from foundations to a certified capstone project.
Outline
What is A/B Testing? • Importance of Experimentation in Decision-Making • Control Group vs Test Group • Applications of A/B Testing
Outline
Creating Variations for Testing • Selecting Metrics and Goals • Understanding User Behavior Data • Importance of Fair and Reliable Testing
Outline
Collecting and Comparing Results • Understanding Conversion and Engagement Metrics • Basic Statistical Thinking in Testing • Interpreting Test Outcomes
Outline
Website and App Optimization • Marketing Campaign Testing • Product and User Experience Improvements • Business Decision-Making Through Experiments
Outline
A/B Testing in Data Science and Analytics • Role of AI in Experimentation • Career Opportunities in Analytics and Product Testing • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Data Science for Supply Chain: Basics
e-Certificate and e-Marksheet issued on successful completion.
