R is a powerful language used widely for data analysis and statistical computing. The journey of R language from a rudimentary text editor to interactive R Studio and more recently Jupyter Notebooks has engaged many data science communities across the world. This course focuses to develop Smart Data Science professionals who are well versed in R-programming.
This was possible only because of generous contributions by R users globally. Inclusion of powerful packages in R has made it more and more powerful with time. Packages such as dplyr, tidyr, readr, data.table, SparkR, ggplot2 have made data manipulation, visualization and computation much faster.
During the course you’ll learn the following things
- Introduction to R
- Working with Data
- How to clean the data
- Creating Descriptive statistics
- Creating Data Visualization
- Creating statistical Models
- Predicting with Machine Learning
- Deploying to Production