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Mastering Statistical Analysis: Explore Data Science Courses with R

Data Science makes you an expert in mastering statistical analysis using the R programming language. This data science course with R allows you to take your data science skills to companies, helping them analyze data and make more informed business decisions. This article explores the data science course in R, which is designed to equip students with the skills and knowledge needed to excel in statistical analysis and data-driven decision-making.

If you are interested in Data Science, Machine Learning, and Statistics, you have to probably come across R programming language which is one of the best choices for those fields. R is a language and environment designed for mathematical computing and graphics.

Data Science Courses with R: Mastering Statistical Analysis

R Systems for Statistics and Data Sciences 2024

Intended to learn the basics of programming in R, this Udemy course has a wealth of resources and support for beginners. If you like Star Wars or Pokémon, the course will be interesting for you because some of the examples are based on it.

R Program by Johns Hopkins [Coursera]

Coursera has an awesome new online course for learning R Programming from scratch. It is an extremely popular course with more than 600,000 students. In this Coursera course, you will learn how to program in R and how to use R for effective data analysis.

Data Science: R Fundamentals from Harvard University [edX]

Taught by Rafael Irizarry, this course aims to build a foundation in R and learn how to argue, analyze, and data visualization. It will introduce you to the basics of R programming. Based on some real-world cases of crime in the United States.

Statistics with R by Mine Çetinkaya-Rundel [Coursera]

Throughout this course, you will develop a portfolio of data analysis projects from the Specialization that demonstrate mastery of statistics. The course is for 3 hours a week for 7 months, but you can customize it. This course is offered by Duke University.

Statistics for Data Analysis Using R by Sandeep Kumar [Udemy]

This course is intended for beginners with some programming experience and advanced mathematics such as mathematics. It first describes the fundamentals of mathematics and statistics and then applies them to the R language. The course is a combination of theory and practice.

R for Data Science: Lunchbreak Lessons [LinkedIn Learning]

They learn to plan in small steps. First, you establish the basic concepts. You transfer the knowledge you already have to the next language. You’ll review language basics, discover ways to improve existing R code, discover exciting new features, and learn development tools and useful libraries to organize your time with R when it is most productive.

R Programming: Advanced Analytics in R For Data Science [Udemy]

This is an intermediate and advanced course on R programming for experienced programmers and Data Scientists. You can join this course to upgrade your R & R Studio skills.

Conclusion: Data science courses with R provide a comprehensive and intuitive way to get statistical analysis right and improve skills in data-driven decision-making. By leveraging the versatility and power of R, students can develop the skills and knowledge needed to extract actionable insights from data, drive innovation, and make informed decisions with knowledge in various fields.