R Programming Language Training

Categories: Software Courses
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

R Programming Training in Hyderabad

Data scientists, analysts, and statisticians can benefit from the R programming language, particularly those in academic contexts. R is a useful tool for a variety of data-related jobs since it can handle complex studies including machine learning, financial modeling, and more.

The fundamentals of this open source language, such as vectors, factors, lists, and data frames, are covered in this introduction to R course. You’ll learn practical coding techniques and be equipped to launch your own R data analysis project.

Learn about R

You’ll begin with fundamental procedures such as utilizing the console as a calculator and knowing basic data kinds in R. After you’ve had some practice, you’ll move on to constructing vectors and putting your new R skills to the test on a data set based on Las Vegas betting.

Following that, you’ll learn how to use matrices in R, including how to generate them and conduct calculations with them. You’ll also look at how R stores categorical data using factors. Finally, you’ll learn how to use R data frames and lists.

Learn R’s Basics for Data Analysis.

After finishing our Introduction to R course, you’ll be able to utilize R for your own data analysis. These in-demand talents can help you advance in your work and prepare you for further education. This course is part of a series of courses that include Data Analyst with R, Data Scientist with R, and R Programming, all of which can help you advance your understanding.

Show More

What Will You Learn?

  • The primary learning objectives of a R Programming course are to comprehend the fundamentals of R programming and to become adept in statistical analysis and data visualization. This course will expose students to R packages, data structures, data frames, conditional expressions, and loops. Participants will be able to use R to perform statistical operations, construct various sorts of graphs, and comprehend and apply machine learning approaches. By the end of the course, students should be comfortable programming in R, performing advanced statistical analysis and data manipulation, and creating meaningful data visualizations.

Course Content

Installation of software

  • R programming,
  • R studio
  • Required packages

Your first R code

Data types

Data structures

Importing data

Manipulating data

Handling Missing data

Plot data

Linear regression and prediction

Time series data

Student Ratings & Reviews

No Review Yet
No Review Yet