📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Basics of Statistical Modeling, from foundations to a certified capstone project.
Outline
What is Statistical Modeling? • Role of Statistics in Data Science • Types of Models and Applications • Examples from Real-World Data
Outline
Types of Variables: Numerical and Categorical • Independent vs Dependent Variables • Data Distribution Basics • Importance of Data Quality
Outline
Mean, Median, and Variance • Probability Basics • Understanding Relationships in Data • Introduction to Correlation
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Introduction to Regression • Understanding Simple Linear Relationships • Interpreting Model Outputs • Basic Prediction Concepts
Outline
Statistical Modeling in Business, Healthcare, and Research • Using Models for Decision-Making • Career Pathways in Data Science and Analytics • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Basics of Statistical Modeling
e-Certificate and e-Marksheet issued on successful completion.
