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FLASH SALE Development Updated 23 min ago

R for Researchers: Statistics, Graphs and Data Analysis

Learn R from scratch - data handling, statistics, publication-quality graphs, reports and deep learning

R for Researchers: Statistics, Graphs and Data Analysis course thumbnail

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Our Review

R for Researchers: Statistics, Graphs and Data Analysis is a Development course on Udemy. Learn R from scratch - data handling, statistics, publication-quality graphs, reports and deep learning The material is organised so learners can progress from the fundamentals to applying what they have learned in realistic scenarios.

Key Skills You Will Learn

  • Install R and RStudio and find your way around the interface, with no prior programming experience
  • Import, prepare, manipulate and export research data in R
  • Run descriptive statistics, correlations, t-tests, ANOVA and multiple linear regression
  • Create basic plots, advanced and animated graphs, and wind rose diagrams
  • Generate research reports directly from R
  • Get started with deep learning in R

Who This Course Is For

This course suits learners who want a guided, self-paced path into Development, from complete beginners to practitioners looking to refresh or formalise their knowledge. Check the curriculum and requirements section on Udemy to confirm it matches your current level.

Our Take

If the topic aligns with your goals, this is a convenient way to build skills on your own schedule. Udemy courses include lifetime access to the enrolled content, so you can revisit lessons whenever you need them.

Before you enroll

  • Free Udemy coupons are limited to 1,000 enrollments and a maximum of 5 days — the earlier you enroll, the better.
  • Make sure Udemy shows Free (or $0) at checkout before you complete enrollment.
  • Once you enroll with a valid coupon, the course stays in your library with lifetime access.
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