R Programming for Statistics and Data Science (Udemy)
This R Certification program provides the most in-depth introduction to R programming for Statisticians and Data Scientists. The goal of this course is to take you from a complete beginner in R to an expert professional who can perform data manipulation on demand. You will be introduced to programming fundamentals, data manipulation techniques and tools, and data visualizations and plots. It also includes a step-by-step statistics tutorial.
This R programming class is an excellent combination of theory and practice. It is necessary to take care to gradually increase your theoretical knowledge and practical skills. Several exercises in the course help to reinforce your learning. It also includes homework and projects to challenge the students further. You will receive a verifiable certificate upon completion of the course.
Key Highlights
- Learn descriptive statistics and fundamentals of inferential statistics
- Master confidence intervals and hypothesis testing, as well as regression and cluster analysis
- Learn to work with vectors, matrices, data frames, and lists
- Become adept in ‘the Tidyverse package’ enabling you to index and subset data
- Learn the grammar of graphics and the ggplot2 package
- Learn how to visualise data – plot different types of data & draw insights
- Learn complete skill set to tackle a new Data Science project
- Learn to make decisions that are supported by the data
Duration : 6.5 hours on-demand video
Rating : 4.5
Enroll here: udemy.com/course/r-programming-for-statistics-and-data-science
