
Download and install R by visiting the official site, choose your operating system (Mac, Windows, or Linux), download the main file and the necessary components, and follow the on-screen instructions.
Cap losses to handle outliers and convert gender categories into numeric dummies using if-else logic in R. Prepare the dataset for regression and explore data manipulation techniques.
Explore bi-variate plots in R by aggregating data to compute mean losses by age, then plot these averages to reveal the relationship between age and losses.
Learn to write macros as functions in R to automate tasks, create a data set, perform group means with aggregate, and generate plots, laying the groundwork for regression with lm.
Newly Launched Course!
R is the new and fastest growing Business Analytics platform. R shall become (if it hasn't already become) one of the most used Business Analytics tool. It is giving strong competition to giants like SAS, SPSS and other erstwhile business analytics packages.
This course is designed specifically for someone who knows basics of Business Analytics and wants to learn implementation of those skills on R platform.
The course is designed considering the busy schedule of learners. It has power pack content for about 90 mins. If you practice along with learning (which is highly recommended) then you shall take about 1-2 days to complete the course.
You will learn how to perform all the analytical tasks required to develop a "Losses prediction model in R" from scratch. This means that you will be working on:
By the end of the course you shall be confident and equipped with all the knowledge required to perform analytical activities in R.
If you want to learn Business Analytics or SAS language, then our other course "Business Analytics for Beginners: Using SAS" shall be the best fit for you.