Udemybeginneren

R Crash Course - Learn R-programming in 2 hours: R & RStudio

Learn R & RStudio! This beginner-friendly crash course provides a fast introduction to R programming. Get started with data analysis quickly.

4.4(119)
6,969students
2h 28m
Certificate
Kate Alison
Kate AlisonGIS & Data Science

Course Content

R Crash Course - Learn R-programming in 2 hours: R & RStudio is a beginner-level Udemy course taught by Kate Alison. It runs 2h 28m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 119 reviews, with 6,969 students enrolled. It is a paid course, last updated November 2023.

Unlock the power of R programming with our comprehensive R Crash Course! Perfect for beginners and those needing an R refresher, this course provides a solid foundation for tackling more advanced data science concepts.

This introductory course equips you with the essential R programming skills needed to succeed in R data analysis and beyond. Whether you're a data scientist, statistician, geographer, programmer, social scientist, or geologist, this course will empower you to leverage statistics and data science skills in your field.

What you'll learn:

  • Package Management: Learn how to effectively manage and utilize R packages.
  • Performing Calculations with R: Master fundamental calculations using the R language.
  • Understanding Variables: Grasp the concept and usage of variables in R.
  • Exploring Vectors: Discover how to work with and manipulate vectors in R.
  • Manipulating Matrices: Learn to effectively manage and operate on matrices within R.
  • Working with Lists: Understand and utilize lists for data organization in R.
  • Data Frames: Master the use of data frames, a cornerstone of data analysis in R.
  • Handling Missing Values: Learn techniques for dealing with missing data in R.
  • Leveraging Functions: Create and utilize functions to streamline your R code.
  • Implementing Control Structures: Control the flow of your programs using conditional statements.
  • For Loops: Uncover the power of for loops for iterative tasks in R.

In just two hours, you'll gain a strong understanding of the fundamental principles of R programming. You'll also receive all R scripts used in the course for future reference.

Who is this course for?

This course is ideal for:

  • Beginners with no prior R programming experience.
  • Professionals seeking to refresh their R skills before diving into data science courses.
  • Data scientists, statisticians, geographers, programmers, social scientists, geologists, and anyone needing data analysis capabilities.

Important Note: This course is specifically designed for those with no prior R experience. If you already have experience with R programming, this introductory course may not be the best fit.

Ready to begin your R programming journey? Join now and build a strong foundation for success in the world of R data analysis!

$ whoami — the devs behind tutorialsearch.io

Need a web app built? Hire the team behind TutorialSearch.io

We ship fast, production-grade full-stack apps (Next.js, React, edge infra) — the same stack that powers this site.

5.0(157)
1h 28m
beginner
skillshare
5.0(935)
3h 3m
beginner
skillshare
5.0(211)
6h 3m
beginner
skillshare
skillshare