The course covers exploratory data analysis techniques and an introduction to statistical regressions. You will also learn how to handle qualitative predictors and make accurate predictions. Equip yourself with tools crucial for a successful career in data science.

What You Will Learn!

Part-1: Statistical Learning and Linear Regression – Introduction to Statistical Learning – Supervised and Unsupervised – Regression vs Classification – Method of Least Squares and Linear Regression Part-2: Linear and Multiple Regression – Model Adequacy for Linear Regression – Multiple Regression – Handling Qualitative Predictors Part-3: Logistic and Poisson Regression – Develop Transfer Functions to handle categorical responses – Use the above for predictions