If you're looking for an r programming online coursecourse to learn the language more comprehensively, there are several options available online. Here are some popular platforms that offer R programming courses:
Coursera:
"R Programming" offered by Johns Hopkins University: This is a beginner-level course that covers the basics of R programming and data analysis.
"Data Science Specialization" offered by Johns Hopkins University: This specialization includes several courses that cover R programming, data visualization, statistical inference, and more.
edX:
"Data Science MicroMasters" offered by UC Berkeley: This program includes courses on R programming, machine learning, data visualization, and more.
Udemy:
"R Programming A-Z™: R For Data Science With Real Exercises!" by Kirill Eremenko and SuperDataScience Team: This course covers R programming from beginner to advanced levels with practical exercises.
DataCamp:
DataCamp offers a variety of R programming courses tailored for data science and analytics. Examples include "Introduction to R", "Intermediate R", and specialized courses like "Time Series Analysis with R".
LinkedIn Learning:
"R Statistics Essential Training" by Barton Poulson: This course covers essential R concepts and how to perform data analysis using R.
Codecademy:
"Learn R" is an interactive course that covers the basics of R programming.
University Courses:
Many universities offer free online course materials for learning R. You can find lecture notes, assignments, and resources by searching for "Introduction to R" or "R programming course" along with the name of a university.
Before enrolling in a course, consider your current skill level, the depth of content you're looking for, and the course's prerequisites. Also, read reviews or course descriptions to ensure that the content aligns with your learning goals. Many platforms offer free trial periods or introductory lessons, so you can get a sense of the teaching style before committing to a full course.
Remember that while online courses are valuable, hands-on practice and working on your own projects are essential to truly master R programming.