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R Programming Course for Data Science
Learn how to program in R for various data science activities from the ground up and gain hands-on experience with the ...Read more
Brochure
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Online
1 Week
Free
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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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
Who it is for
What you will learn
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
Data Scientist
Ericsson
