We have a project on HR Attrition and Analytics as well as card purchase prediction for the R project.

There are some projects that are well known for improving a data scientist's level of thinking, and we include such in our course. These projects include the prediction of credit default using logistic regression, which is widely used as a baseline for many NBFCs or banks, the forecast of house prices, which is frequently used in the real estate industry, and the prediction of term deposits, which is also commonly used by banks.

This course also touches on several Siebel-related topics, and even there we don't hesitate to provide hands-on practise.

From the perspective of exploratory data analysis, we do have projects that use ggplot2, R and Linear Regression.

We have a significant initiative on to get SAS up and running in a production-level environment as well.

Course Duration:-1h 14m