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Learn machine learning and data analysis from scratch with R
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Duration - 28.5 hours
Training 5 or more people ?
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The course covers practical issues in statistical computing that include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R programming to mastery.
We understand that theory is important to build a solid foundation; we also understand that theory alone isn’t going to get the job done, so that’s why this course is packed with practical, hands-on examples that you can follow step by step. Even if you already have some coding experience or want to learn about the advanced features of the R programming language, this course is for you!
R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.
By the end of the course, you’ll be a professional data scientist with R and confidently apply for jobs and will feel good knowing that you have the skills and knowledge to back it up.
Check out the detailed breakdown of what’s inside the course
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