What is R Programming? R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed by John Chambers. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques – it is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. Find out more in the free online “Introduction to R for Data Science” course, published by Alison. This course will be of great interest to professionals working in the areas of data science and data analysis and who want to learn more about using R for statistical computing.
Introduction to R for Data Science Course Content
In this free online Introduction to R for Data Science course, you will be introduced to the R programming language for data statistical computing. You will learn about the different types of R, how to set up and installing the R language, how to install and setup RStudio and MS R Open for programming R. You will also learn about the data structures and types in the R language and how they work.
- How to install Microsoft R Open on your own computer;
- The different data types in R programming;
- How the different data Structures work in R programming;
- Running Enzo Unified inside SQL management studio;
- How helpful Enzo Unified is for Data acquisition;
- The applications and services that Enzo Unified can connect to.
The learner will need some knowledge of programming languages and an understanding of using SQL Server management studio.
Summary of Main Course Features
- Duration: 2-3 Hours
- Publisher: Channel 9
- Assessments: Yes
- Certification: Yes
- Minimum Grade/Class Level: Third Level
Note: This post contains affiliate links and I may be compensated if you click on them.