5 R Programming Courses for Data Scientists to Master Statistical Analysis
Being a data scientist requires more than just having the ability to extract meaningful insight but also to drive informed decision-making. They also need to master statistics. R programming is a language specifically designed for statistical computing. It provides really powerful tools and techniques for analyzing complex sets of data.
Taking up R programming courses can help both aspiring and professional data scientists gain a solid introduction to R and enable them to extend it with its wide range of libraries and packages for advanced statistical modelling and data visualization.
Explore - R programming courses
Why Should Data Scientists Take Up R Programming Courses?
Listed below are some of the reasons why data scientists must consider taking R programming courses to sharpen their statistical analysis skills -
- R is tailored for advanced statistical computing, modeling and analysis, making it essential for data scientist and statistician roles.
- R's powerful visualization libraries (e.g., ggplot2) help create impactful graphics, a key skill for data analysts and scientists alike.
- Proficiency in R opens doors to numerous job opportunities in data science, analytics, and statistics, with a projected 35% job growth from 2022 to 2032, suggests the Bureau of Labor Statistics.
- Widely used in academia, bridging research with industry applications.
Let us take a look at some of the handpicked online R programming courses -
Best-suited Statistics for Data Science courses for you
Learn Statistics for Data Science with these high-rated online courses
Data Science: R Basics by Harvard University
Data Science: R Basics by Harvard University is an introductory course that includes the basics of R programming. It will include R's functions and data types, and you will learn how to operate on vectors and when to use advanced functions like sorting. Learn how to apply general programming features like “if-else” and “for loop” commands and how to wrangle, analyze and visualize data.
Course Highlights
| Course Name |
|
| Duration |
8 weeks long |
| Provider |
|
| Course Fee |
Audit for Free. Add a Verified Certificate for $219 |
| Trainer |
Rafael Irizarry, Professor of Biostatistics, T.H. Chan School of Public Health |
| Skills Gained |
Data Science, Data Analysis, Data Visualization, R |
Why Choose Data Science: R Basics?
- Free course that adds up to Professional Certificate in Data Science from Harvard University.
- Covers R's functions, data types, and operations on vectors.
- Learn through real-world datasets.
Online Certificate in R Programming by NIELIT Gorakhpur
R Programming by NIELIT Gorakhpur covers R Programming Data Type, Control Structures, Array and Factor Manipulation, Function, Packages, Data Frames and Visualization. After the course, the student will master the essentials of R Programming. Certificates will be provided to the participants based on a minimum of 75% attendance and performance (minimum 50% marks) in the online test conducted at the end of the course.
Course Highlights
| Course Name |
|
| Duration |
4 Weeks |
| Provider |
|
| Course Fee |
INR 1000 |
| Trainer |
Dr. Shivlok Singh, STO, NIELIT Lucknow |
| Skills Gained |
R Programming - Data Type, Control Structures, Array and Factor Manipulation, Function, Packages, Data Frames and Visualization. |
Why Choose Online Certificate in R Programming?
- Get a certificate of completion from NIELIT Gorakhpur.
- Master the essentials of R Programming.
Advanced R Programming
Advanced R Programming online certification course covers advanced R programming topics, including functional programming in R, robust error handling, object-oriented programming, profiling, benchmarking debugging, and proper function design. The course is a part of Mastering Software Development in R Specialization.
By the end of this course, you will have learned how to abstract common data analysis tasks and encapsulate them into user-facing functions. You will also learn how to define new data types in R and build a universe of functionality particular to those data types.
Course Highlights
| Course Name |
Advanced R Programming by John Hopkins University |
| Duration |
8 weeks long |
| Provider |
|
| Course Fee |
Audit for Free. Add a Verified Certificate for $219 |
| Trainer |
Roger D. Peng, PhD & Brooke Anderson - John Hopkins University |
| Skills Gained |
Logic Programming, R Programming, Object-Oriented Programming (OOP), Functional Programming |
| Students Enrolled |
31,000+ |
| Total Reviews |
4.2/5 (573 ratings) |
Why Choose Advanced R Programming Course?
- Learn the advanced topics in R programming that are mandatory for developing powerful, robust, and reusable data science tools.
- Identify and abstract common data analysis tasks and apply them in real-world scenarios.
Introduction to R Programming for Data Science by IBM on Coursera
This course will give you an overview of R, the most popular programming language used in data science. Learn about fundamental concepts such as data type and data manipulation techniques. The course also covers an overview of common data structures, basic programming tasks, and how to work with data using R. You will be able to practice writing a simple program in RStudio, manage data in formats like data frames or matrices, and conclude the course with a final project using tools like Watson Studio and Jupyter notebooks.
Course Highlights
| Course Name |
Introduction to R Programming for Data Science by IBM on Coursera |
| Duration |
10 hours |
| Provider |
|
| Course Fee |
Audit for Free. Add a Verified Certificate for $219 |
| Trainer |
Yan Luo, Ph.D., Data Scientist and Developer, IBM |
| Skills Gained |
Data Science, R Programming, R Basics, Common Data Structures |
| Students Enrolled |
44,300+ |
| Total Reviews |
4.5/5 (449 ratings) |
Why Choose Introduction to R Programming for Data Science Course?
By the end of the course, you will be able to:
- Develop basic programs in RStudio.
- Manipulate data in R.
- Use R for data science tasks, such as data wrangling and analysis.
Data Scientist with R by DataCamp
This course by DataCamp is designed to help you develop the skills needed for a career in data science using R. You will learn to work with data in R, including importing, cleaning, manipulating, and visualizing it. Moreover, you will also gain skills like data manipulation and visualization using popular R packages like ggplot2, dplyr, and readr with real-world datasets. The course also covers SQL for managing databases and Git for managing data science projects.
Course Highlights
| Course Name |
Data Scientist with R by DataCamp |
| Duration |
27 Hours |
| Provider |
|
| Course Fee |
Audit for Free. Add a Verified Certificate for $219 |
| Trainer |
|
| Skills Gained |
R programming, Machine Learning, Basics of SQL for relational databases and Git for data science projects. |
Why Choose Data Scientist with R Course?
- Gain proficiency in R programming, data manipulation, and statistical analysis.
- Develop the skills to build predictive models and deploy them in real-world scenarios.
- Work on real-world projects to solidify your learning.
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