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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.
Table of Contents
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.
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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.
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.
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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.
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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.
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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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