5 Best Data Science with R Courses & Tutorials of 2023

It is extremely difficult for students with so many Data Science with R courses to meet their needs. Learners often ask whether for each case there is a Data Science with R course. The reply is YES. Popular courses are available below. Registration for the right course is a vital factor for your career advancement. This article selected the best Data Science with R courses in 2023 by hand.

The main purpose is to illustrate each category of the best known and famous courses.

Based on your choice, choose one that best suits your needs.

However, let’s take a look at the best of the market’s Data Science with R courses.

1. Data Science with R Courses (DataCamp)

Duration: Self-paced

Rating: 4.5 out of 5

DataCamp is among the major e-learning sites offering suitable courses and lessons focused on user needs. This list of R-data science courses is appropriate for anyone going to pursue a career in data science. Many of the best classes and tutorials in this list include Introduction to R, Introduction to R data import, R data importation and cleaning, dplyr data analysis and many more. Completing these courses will help you accept both basic and advanced data science principles, so you will get your dream work. Furthermore, every course is free for 10 days and the liberty to study at your own speed.

Key Highlights:

  • Take the basic concepts of data analysis by manipulating common data structures such as vectors, matrices and data frames.
  • Getting rich material, video conferences, graduate tournaments, tasks, case studies and downloadable tools to develop your knowledge and skills.
  • Discover how statistical and machine learning methods are coupled with R programming to test and interpret complex data sets.
  • Know regarding conditions, loops and vector functions, as well as how to explore and visualize your own information in a tidyverse way.

You can Sign up Here

2. Data Science: Foundation using R by Johns Hopkins University (Coursera)

Duration: 4 months, 6 hours/week

Rating: 4.6 out of 5

Those who want to learn data science from the beginning will use this specialized program to show you how to manipulate data sets and construct visualizations to communicate information. Enrollments in this program will allow you to evaluate the fundamental methods and strategies for data science, such as data collection, cleaning and discovery, R programming and reproducible analysis. This comprises five modules, each concentrating on various parts of R. After completing this specialization, users can also sign up for the Data Science: Statistics and Machine Learning program to improve their knowledge of data science.

Key Highlights:

  • Learn when to use R to clean, analyze and visualize data and how to use GitHub for a data science project management.
  • Find excellent program skills such as machine learning, data science, GitHub, R Programming, data analysis.
  • Created by expert teachers from Johns Hopkins University, who have expertise in implementing R training to different people in data science.
  • Get a qualified certificate of completion after the program is finished for all programs, tasks and tests.
  • Learn how to install and configure applications required for a statistical programming environment by explaining the idea of generic programming.

You can Sign up Here

3. R for Data Science with Real Exercises (Udemy)

Duration: 10-11 hours

Rating: 4.6 out of 5

This is a step-by – step tutorial specifically made for people without previous R programming experience. It features a new guide after each learning process to broaden your knowledge of what you have experienced in the duration. You will be fitted with a new useful R principle after every session, which can be applied to real-life scenarios. The course was developed in cooperation with the SuperDataSciene team by Kirill Eremenko. During the course, you would be in direct contact with the trainer and a team of experts to submit and resolve your course queries. You will obtain a certificate of completion after completing your course that can be shared with your curriculum vitae or LinkedIn profile.

Key Highlights:

  • Understand new concepts during the course of the session such as core programming principles, R programming, creation of a time loop, R vector creation, etc.
  • Start practising your expertise while working with R financial data, R statistics and R sports data.
  • A helpful curriculum filled with real-life theoretical problems, practical activities and graded projects.
  • Learn how R studio can be tailored to match your needs while knowing the standard distribution.

You can Sign up Here

4. Data Science with R (Plural Sight)

Duration: 2-3 hours

Rating: 4.5 out of 5

This is a realistic class exclusively based on teaching you different R programming and data science functions and concepts. This course will help you understand how to transform data with R programming into knowledge. Start with studying the practice of data science, the R programming language and decide how data can be turned into an operational insight. Matthew Renze, a data science expert, writer and international public speaker, developed the course. He will help you learn the key concepts more effectively throughout the course.

Key Highlights:

  • Gain a good view of the treatment of big data, forecast machine learning algorithms, and deploy R for output.
  • Learn when to use R programming language and data science training to turn the knowledge into practical insight.
  • Learn how and when to convert and sterile your data, construct and analyze descriptive statistics, visualize data and statistical models.
  • Various video lectures, graduate assignments, quizzes, workshops, hands-on projects etc.
  • Gain all of the skills you have to use R and data science principles to transform your data into valuable insights.

You can Sign up Here

5. Data Science: R Basics from Harvard University (edX)

Duration: 8 weeks, 1-2 hours/week

Rating: 4.4 out of 5

This topic is the first part of data Science Professional Certificate Program which aims at getting to know the basics of R programming. The course will help you learn the R skills necessary to answer basic questions about differences in crime in the various states. During the tutorial, you can learn regarding R features and data types and how to use vectors and advanced features such as sorting. The course is designed by experienced Harvard University professionals who have many years’ R programming and data science experience. You can receive a certificate of completion signed by Harvard University upon successful completion of the course.

Key Highlights:

  • Build a strategic level of competence with different aspects such as dplyr data wrangling, R programming, UNIX / Linux file organization, ggplot 2 data display, etc.
  • Included with video lectures, exercises, rich educational material, graded tasks and more.
  • Learn how and when to use general programming tasks like “if-else” and the commands “for loop” and how to wrangle, analyze and view data.
  • Learn and practice R operations, including sorting, making plots, data disputing with dplyr and git / GitHub version control.

You can Sign up Here

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Wrapping Up

This is the list of the 5 Best Data Science with R Courses & Tutorials of 2023. They are popular and loved by many data science learners. You will find between these courses what you need to learn in order to continue your data science learning path.

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