R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science.

The Program 

1. Introduction.
2. Data Frames.
3. Data Cleaning.
4. Fundamentals of Data Visualization with ggplot2.
5. Aggregates.
6. Joining Tables.
7. Mean, Median, and Mode.
8. Variance and Standard Deviation.
9. Quartiles, Quantiles, and Interquartile Range.
10. Hypothesis Testing.

What will you learn 

In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize, modify and clean data frames, a useful data structure in R. Then you’ll learn how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.