In this tutorial, we'll work on a case study called "Churn Prediction Model Using R Studio." R Studio will be used to resolve this case study, which falls under the topic of analytics and predictive modelling.

Any sector or domain can use it to recognise an unhappy customer and take the necessary steps to keep them. This course will enable a person to recognise unhappy customers, comprehend business retention strategies, and take the necessary corrective action. As we all know, gaining a new client is much more expensive than keeping an existing one.

This course has a moderate degree of complexity, and R Studio code is of a moderate level as well. You will have an understanding of how statistical models, analytics, and predictive models may assist you in finding the actionable insights and adding value to your organisation by the end of the course.

Basic understanding of data analysis, business analysis, predictive modelling using R Studio, coding, and the capacity to decipher the output of these models are prerequisites for this course.

Course Duration:-1h 25m