February 27

How To Sharpen Your R Programming Skills

Blog, Ecourses, Resources

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If you're just getting started with R programming, whether for Data Science, statistics or some other purpose, then you're in the right place.

In this blog post I'm going to show you the best R programming courses online.

I'll show you the best R programming courses for beginners, and I'll introduce you to some of the best advanced R courses too.

If you're interested in learning statistics in R, I'll show you the best courses in using R for statistics, some great courses for learning regression in R and some Time Series courses in R too.

In this post you'll also find courses in data mining and data cleaning in R, some courses about the Tidyverse and some R Shiny tutorials too.

More...

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Getting Started With R - Introduction

I started out as a physicist and sort of accidentally became a Data Scientist (even before the term was known), and I had to learn how to program from scratch with no help at all. Just installing the program on your computer was a mammoth task back then. Sometimes you needed to do some programming to install the program so you could learn how to program!

It wasn't easy, but I got there.

Looking back I wish I'd had some help from someone who really knew what they were doing. Someone who could point me in the right direction.

That's what this blog post is all about.

I'm not the person to help you with your programming quest. I can usually achieve the things I need to, but I'm still pretty awful at it - I'm embarrassed to show my code to a real programmer.

On the other hand, there are loads of video courses at Udemy - they have some of the best R programming courses online - led by people who do know what they're doing.

Whether you're looking for the best courses to learn R from scratch and need an interactive R tutorial, or you're looking to level up your skills with an advanced R course, there's something for everyone here.

How to learn R for Data Science #r #statistics #datascience #udemy #courses @chi2innovations

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FYI - this blog post is part of a series of 7 posts on learning how to be a Data Science Ninja, which also includes posts on statistics, python programming, neural nets and other stuff. You can find all the other posts in the series below (and there's a reminder at the foot of the post too).

Jump Station

This blog post is part of a series of 7 posts on learning how to be a Data Science Ninja.

For more detail, choose from the other options below:

How to Get Started in R

These days there are lots of short cuts, plug-ins, packages and all sorts of things that can really help you make the best of your time, and this is where a programming language like R excels.

Despite being overtaken by Python as the most used programming language in Data ScienceR is still one of the best languages to learn for Data Scientists.

It's not as easy to learn R from scratch as it is to learn Python, but it has the advantage that it is superb for creating graphs and charts. Better still, it's built for statistical analysis, so using R for statistics is usually much easier than using some other language for statistics...

...and it has loads of ready-made packages to do pretty much whatever kinds of statistics in R you can think of (and a lot more besides).

Best R Language Courses for data science

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Best Courses to Learn R From Scratch

If you're not sure how to get started in R or whether you're looking to improve your skill levels, these courses can help. I'm highlighting 6 of the best R programming courses for beginners and another 6 more advanced R courses.

These instructors will help you with your first steps. Like installing R, writing your first program, installing packages, plotting some simple graphs and computing some statistics. You know - getting the confidence to know that it'll all be OK and that you really can do this. All the things that I didn't get when I first started...

Udemy courses are usually offered for up to £/$/Euro 200 but they have very frequent sales where they sell courses at around 10-15 £/$/Euro - so grab them while you can!

If there isn't a sale on, just return here, register for our newsletter and we'll let you know whenever the sales are on.

A quick reminder - once you've enrolled for a particular course, you get lifetime access to it, even when the course is updated.

Getting Started With R - Top 3 Beginner Courses

These are the courses that I recommend if you're just getting started with R and you feel you might need an interactive R tutorial. They are great for beginners and will get you up and running in no time.

#1

R Programming A-Z: R For Data Science With Real Exercises!

Kirill Eremenko

4.6 of 5 stars

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples...

COURSE DESCRIPTION

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

#2

Practical Foundations of R Programming

Geoffrey Hubona

4.6 of 5 stars

The basics of programming in R: R data structures; R subsetting operations; and R functions

Practical Foundations of R Programming is the first course of a learning path that teaches critical foundation skills necessary to create quality code using the free and open-access R programming language...

COURSE DESCRIPTION

Practical Foundations of R Programming is the first course of a learning path that teaches critical foundation skills necessary to create quality code using the free and open-access R programming language.

This course, and the courses that follow, are useful for both beginner and intermediate R programmers who want to understand the unique features of R and why "R works the way it does."

This course, Practical Foundations of R Programming, which contains all-unique material compared to my other Udemy R courses, addresses R data structures, R subsetting, and R functions, but from the focused perspective of someone who intends to write efficient higher-level applications using R. It is specifically intended to teach the most important foundation concepts and features of the R programming language which are necessary to understand to write efficient and effective applications in R.

This course, which is exclusively "hands-on," demonstrates the construction and use of R code within the RStudio IDE, and focuses on the unique features of R that can make writing applications in R both a challenge and a delight.

#3

R Programming - R Language for Absolute Beginners

Ivo Bernardo

4.5 of 5 stars

R Programming course suitable for everyone, no coding experience or a statistics background needed

This course focuses on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects...

COURSE DESCRIPTION

This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:

  1. 1
    Introductory slides lectures with the most well-known commands for each type of R object.
  2. 2
    Code along lectures where you will see how we can implement the stuff we will learn! 
  3. 3
    Test your knowledge with questions and practical exercises with different levels of difficulty!
  4. 4

    Analyze real datasets and understand the thought process from question to R code solution!

This course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.

At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.

Getting Started With R - Another 3 Beginner Courses

These next 3 'how to get started in R' courses at Udemy are by no means inferior to those above and are also some of the best R programming courses for beginners.

They are highly rated, highly recommended and have great reviews from their many happy customers!

Top 3 Advanced R Courses

The next 3 are more advanced R courses, and although you don't necessarily need to be at a more advanced level to take them it would be an advantage to have taken at least one of the beginner courses first.

These courses are very popular, taught by Udemy superstars, and are among the best R programming courses online!

Another 3 Advanced R Courses

There are just soooo many great courses to learn R at Udemy that I found it difficult to whittle them down to a top 3, so I thought I'd give you a list of another 3 of the best advanced R courses. Here they are:

Top 3 Data Mining Courses in R

In these days of Big Data, data mining is becoming an increasingly important skill to have. To help you with that, I've put together our pick of the top 3 data mining courses at R:

Statistics in R - Top 3 Courses

When your data mining skills are topped up, your next step is to learn statistics in R. If you're looking for a really good R statistics tutorial, the next 3 courses in using R for statistics are just the thing:

Statistics in R - Another 3 Courses

Of course, I couldn't stop with just the best R programming courses to learn statistics when there are so many of them, so here are another 3 courses on using R for statistics:

Top 3 Regression Courses in R

The courses to learn statistics in R above are quite general and will take you through a variety of statistics methods. They're great for getting a broad understanding of using R for statistics, but sooner or later you're going to want to go into a bit more depth.

The next 3 courses are our top 3 picks of the best R programming courses for regression.

Another 3 Regression Courses in R

And if our pick of the best R programming courses for regression doesn't excite you, maybe the next 3 will:

Top 3 Time Series Courses in R

Time Series analysis is one of the harder topics in stats, so it pays to get a little help.

The next 3 courses are our pick of the best R programming courses at Udemy for Time Series analysis.

Top 3 Tidyverse Courses

If you didn't know, the Tidyverse is a collection of open source R packages for Data Science intended to help make your workflows more productive, and is a game-changer for those working with data on a regular basis.

If you're serious about doing your Data Science in R, then I highly recommend that you learn about what the Tidyverse has to offer.

These next 3 courses will help you get started with the Tidyverse:

Top 3 Shiny Courses

Shiny is an R package that makes it easy to build interactive web apps straight from R, including reporting results of data analysis and visualisations where users can interactively explore a data set.

If you're interested in creating web apps with R or just interactive web pages, then you'll need an R Shiny tutorial.

These next 3 Shiny courses will help you get started with that.

Top 3 'Other Interesting' Courses to Learn R

There are just soooo many great courses to learn R at Udemy.

As you'll have noticed from the various categories above, there are many courses for getting started with R, loads of advanced R courses and lots of courses to learn statistics in R.

There are other interesting courses too, some of them that defy categorisation, so I thought I'd have a little section here at the end to highlight some more interesting R courses that might just take your fancy.

Here are our top 3 picks:

Another 3 'Other Interesting' Courses to Learn R

And here are another 3 interesting courses that might just catch your eye:

R Books

If courses aren't really your thing and you prefer to learn by books instead, we have a post dedicated to The Best R Books for Data Scientists.

Check them out - you won't be disappointed!

Getting Started With R - Summary

There are loads (over 1500) of Udemy courses to learn R for Data Science, not just the ones listed above. If none of these take your fancy, have a look around and I'm sure you'll find others that you might like.

If you discover any better courses out there on getting started with R or for statistics in R, leave a comment below and I'll add it to the post!

Final word - when you've done any of these courses, please return and leave some feedback and a review in the comments below. If you loved the course, great - come and tell us. If you hated it, that's great too - leave a comment saying what you didn't like about it.

Jump Station

This blog post is part of a series of 7 posts on learning how to be a Data Science Ninja.

For more detail, choose from the other options below:

How to go from newbie to r programming ninja #rprogramming #datascienceUpdate your r programming skills with these courses from Udemy. #datascience #rprogramming

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data science courses, data science ninja courses, r programming


Lee Baker

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About the Author

Lee Baker is an award-winning software creator that lives behind a keyboard in a darkened room. Illuminated only by the light from his monitor, he aspires to finding the light switch. With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data, yet despite explaining it a dozen times, his mother still doesn’t understand what he does for a living. Insisting that data analysis is much simpler than we think it is, he creates friendly, easy-to-understand video courses that teach the fundamentals of data analysis and statistics. As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.

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