R Programming Course for Data Science

BY
Board Infinity

Learn how to program in R for various data science activities from the ground up and gain hands-on experience with the methodologies and principles involved.

Mode

Online

Duration

1 Week

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features more than 6 hours of extensive video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

The highlights

  • Certificate of completion
  • Self-paced course
  • 6 hours of pre-recorded video content
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources
  • Lifetime access
  • Accessible on mobile devices

Course and certificate fees

Type of course

Free

certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Data science knowledge R programming Natural language processing Statistical skills

After completing the R Programming Course for Data Science certification, candidates will acquire a deep understanding of the principles and features of R programming for data science projects. Candidates will learn about the features of R studio, as well as the principles of natural language processing and statistics. Candidates will learn about data analysis, time series analysis, and text analysis. Candidates will also learn about the R programming language's various operators, commands, loops, functions, arrays, lists, matrices, vectors, and data frames.

The syllabus

Introduction to R Programming

Basics of R Programming

String manipulation functions in R

Commands and operations in R

Loops and functions

Statistics in R

Time Series Analysis in R

Text Analysis and Natural Language Processing

Instructors

Mr Rajat Chaudhary

Mr Rajat Chaudhary
Data Scientist
Ericsson

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