📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Data Science for Beginners, from foundations to a certified capstone project.
Outline
What is Predictive Analytics? • Importance of Data in Decision-Making • Difference Between Descriptive, Diagnostic, and Predictive Analytics • Real-World Applications
Outline
Types of Data and Variables • Historical Data and Trends • Features and Target Variables • Data Quality and Preparation Basics
Outline
Introduction to Regression Concepts • Understanding Relationships in Data • Simple Prediction Techniques • Examples of Predictive Use Cases
Outline
How Predictions Are Evaluated • Accuracy and Error Concepts • Overfitting and Underfitting Basics • Improving Model Performance
Outline
Predictive Analytics in Business, Healthcare, Finance, and Technology • Using Predictions for Decision-Making • Career and Learning Pathways in Data Science • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Data Science for Beginners
e-Certificate and e-Marksheet issued on successful completion.
