R Programming For Statistics And Data Science Free Download
10 Best R Programming Courses for Data Science and Statistics in 2021
My favorite online courses to learn R programming language for Data Science and Statistics from Udemy, Pluralsight, Coursera, and LinkedIn Learning
If you want to learn R programming and looking for the best online training courses, classes, and tutorials then you have come to the right place. In the past, I have shared free courses to learn R and in this article, you will find the best R programming courses from Udemy, Coursera, and edX.
Disclosure — Btw, some of these links are affiliate links and I may get paid if you join these courses using my links.
These courses have been created by experts and are highly recommended for both beginners and people using the R programming language without having in-depth knowledge. You can use them to learn both basic and advanced concepts of R programming, tools like R Studio, and best practices.
If you are interested in Data Science, Machine Learning, and Statistics then you may have come across the R programming language, one of the best for those jobs. R is a language and environment created for working with statistical computing and graphics.
Now, coming back to the R programming language itself. It is an open GNU project similar to the S language. R can be considered as a different implementation of S. There are some important differences between them, but much code written for S runs unaltered under R.
This language provides a wide variety of statistical and graphical techniques and is highly extensible because of its open-source community, which is constantly supporting and adding features. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
R is available under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems including Linux, Windows, and macOS.
It is also a language that ultimately has grown a lot of importance because it is really useful to work with big data and IA implementations.
10 Best Online courses to learn R Programming for Beginners and Experienced Programmers in 2021
Here is the list of best online courses to learn R Programming from Udemy, Coursera, Educative, LinkedIn Learning, and edX to learn this useful skill online. These courses have been created by experts and trusted by thousands of developers around the world.
They are also very affordable, especially the R programming courses from Udemy which you can buy for just $10 on Udemy sales, which happens regularly.
1. R Programming A-Z™: R For Data Science With Real Exercises!
This is the best R programming course on Udemy and created and delivered by none other than Kirill Eremenko and his SuperDataScience team, which have created the best online courses on data science, and Machine learning on Udemy.
To complete this course you just need to have some high school mathematics level. It is for anyone interested in R programming, Data Science, and Data Analytics, or any people who are not that comfortable coding but who are interested in Data Science and want to apply it easily on datasets.
This course has been designed by two professional Data Scientists that will teach help you learn complex theories, algorithms, and coding libraries in a simple way.
By the end of the course you will be able to:
- Learn Programming in R and R Studio
- Learn Data Analytics, Data Science, and Statistical Analysis
- Learn how to build and use metrics in R
- Practice working with statistical data in R
- Understand the Normal distribution
When you buy it, you instantly have life-access to 10.5 hours of video, 6 articles, and 38 downloadable resources.
Here is the link to join this best R course — R Programming A-Z
2. R Programming for Statistics and Data Science 2021
This Udemy course meant to learn the fundamentals of programming in R has a lot of resources and support for beginners. The tutorial will be fun for you if you like Star Wars or Pokémon because some examples are based on them.
Here are the key skills you will learn in this course:
- How to work with R's conditional statements, functions, and loops
- Getting your data in and out of R
- Understand and carry out regression analysis in R
- Learn the fundamentals of statistics and apply them in practice
- Systematically explore data in R
- Build your functions in R
The course has a lot of support documentation, it has a total of 38 articles and 34 resources. All explained in less than 7 hours of videos.
Here is the link to join this Udemy course — R Programming for Statistics and Data Science 2021
3. R Programming by Johns Hopkins [Coursera]
This is another awesome online course to learn R Programming from scratch on Coursera. This is a massively 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. It will teach you how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
The course also covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Topics in statistical data analysis will provide working examples.
Here is the link to join this course — R Programming by Johns Hopkins
Also, this course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
- Data Science Specialization
- Data Science: Foundations using R Specialization
Overall a great cours to learn R PRogramming from scratch in 2021. I highly recommend this course to anyone who wants to learn R for Data Science or Statistics.
4. Learn R from Scratch [Educative]
This course is a bit different than previous R programming courses because it's a text-based interactive course from Educative. Reading is generally faster than watching and that's why I like text-based courses.
This interactive R programming course will get you up to speed and assumes no prior knowledge of R. You'll start with the very basics and work your way up to advanced concepts like exception handling.
The good thing about the Educative platform is that it allows you to run code directly in your browser which means you don't need to setup anything initially. THis is a big boost as most of the popular stuck while installing software and getting them setup right.
By the time you're done, you'll be able to write detailed, useful code in R yourself.
Here is the link to join this course — Learn R from Scratch
And, if you find Educative platform and their Grokking courses like Grokking the Machine Learning Interview then consider getting Educative Subscription which provides access to their 100+ courses in just $18 per month. It's very cost-effective and great for preparing for coding interviews.
5. Data Science: R Basics from Harvard University [edX]
This course taught by Rafael Irizarry is meant to build a foundation in R and learn how to wrangle, analyze, and visualize data. It will introduce you to the basics of R programming. Based on some real-world datasets about crime in the United States.
You will learn:
- The basic R syntax
- R programming concepts such as data types, vectors arithmetic, and indexing
- Performing operations in R including sorting, data wrangling using dplyr, and making plots
You will learn the R skills needed to answer essential questions about differences in crime across the different states. The course is free to enroll in and in the end, you can buy the certificate spelled by Harvard if you want it.
Here is the link to join this course — Data Science: R Basics from Harvard University
6. Statistics with R by Mine Çetinkaya-Rundel [Coursera]
In this complete course, you will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis.
Will making it you will learn:
- How to analyze and visualize data in R, creating reproducible data analysis reports.
- Demonstrate a conceptual understanding of the unified nature of statistical inference
- Understand natural phenomena and make data-based decisions performing frequentist and Bayesian statistical inference and modeling to communicate statistical results correctly.
- Critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.
The course is meant for dedicating to it 3 hours a week for 7 months, but you can adapt it however you want it. This course is offered by Duke University.
Here is the link to join this course — Statistics with R
And, if you find Coursera certifications useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth your money as you get unlimited certificates
7. Statistics for Data Analysis Using R by Sandeep Kumar [Udemy]
This course is meant for beginners with some programming experience and knowledge of advanced mathematics like statistics. It first teaches the aspects needed of mathematics and statistics and then it applies it to the R language. The tutorial is a combination of theory and practice.
During the course, you will see the following points:
- Learn the basic statistical concepts
- Application of these concepts using R Studio.
- Mastering some statistical concepts and techniques.
- Probability Distributions — Normal, Binomial and Poisson
- You will learn R programming from the beginning level.
The course includes life-access to 12,5 video hours, 13 articles, and 36 resources available to download.
Here is the link to join this R Course — Statistics for Data Analysis Using R
8. R for Data Science: Lunchbreak Lessons [LinkedIn Learning]
Programming is learned in small bits. First, you build on basic concepts. You transfer the knowledge you already have to the next language. That's where these Lunchbreak lessons from LinkedIn Learning really come in handy.
Lunch Break Lessons teaches R — one of the most popular programming languages for data analysis and reporting — in short lessons that expand on what existing programmers already know.
In this series, you will review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.
Here is the link to join this series — R for Data Science: Lunchbreak Lessons
By the way, you would need a LinkedIn Learning membership to watch this course which costs around $29.99 per month but you can also watch this course for FREE by taking their 1-month-free-trail which is a great way to explore their 16000+ online courses on the latest technology.
9. 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 cours to take your R & R Studio skills to the next level.
Created by none other than but Kirill Eremenko, one of the best Udemy instructors and Data Science experts, this course is perfect for anyone who wants to master analytics in R.
Here are the key skills you will learn in this course —
- How to prepare data for analysis in R
- How to perform the median imputation method in R
- How to work with date-times in R
- What Lists are and how to use them
- What the Apply family of functions is
- How to use
apply(),lapply()andsapply()instead of loops - How to nest your own functions within apply-type functions
- How to nest
apply(),lapply()andsapply()functions within each other
Overall a great Professional R training course with, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the real world.
Here is the link to join this course — R Programming: Advanced Analytics In R For Data Science
Posted by: fabianwolperss.blogspot.com
Source: https://medium.com/javarevisited/10-best-r-programming-courses-for-data-science-and-statistics-8f84ebec4974
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