About the course
In this R programming course, the candidate will learn about the language R and its practical applications. This R language training course is designed to make the students aware about various topics like- the installation of R language and configuration of the necessary software for statistical programming environment and other language concepts. It will provide a deep highlight on different topics like statistical programming, reading data into E, writing R functions, de-bugging, and organizing R codes.
After getting the certificate, the candidate can join the company as a data scientist or as a business analyst.
What will the candidate learn through this R language training course?
The candidate can learn the varied topics through this R programming course:-
You will learn how to navigate through the Rstudio interface
Learn about how to make the graphs
You will get to know about the basic R structure including the packages
You will learn about how to perform the basic R commands in the programming language
You will learn how to handle the R tools, add-on packages and how to find your way in the R world.
Prerequisites before joining the R language certification course
There are certain requirements that one needs to comply before joining the R programming course like:
There should be a deep interest in the statistical programming
You need to have a computer along with the knowledge to run R Studio
Basic understanding of data analytics and structure
No prior knowledge of programming is required
So, if you are interested in data science or want to learn the language R from scratch or if you are looking for step by step process to learn the language R, look no further this R language certification course is meant for you.Back to top
Content that will be taught in R language course
This R language training course will teach you about data analytics and data science, which helps in business planning. Data science is a brand that employs techniques and theories in the different fields like mathematics, machine learning, statistical learning, computer programming, and predictive analysis.
Data Science Cycle:
Prescriptive AnalyticsBack to top
Available delivery methods for this course: