R Programming Tutorial - Learn the Basics of Statistical Computing

Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important tools in data science.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:02:20) Installing R
⌨️ (0:07:17) RStudio
⌨️ (0:11:52) Packages
⌨️ (0:19:16) plot()
⌨️ (0:27:49) Bar Charts
⌨️ (0:32:10) Histograms
⌨️ (0:39:44) Scatterplots
⌨️ (0:44:39) Overlaying Plots
⌨️ (0:52:30) summary()
⌨️ (0:55:49) describe()
⌨️ (1:00:17) Selecting Cases
⌨️ (1:06:14) Data Formats
⌨️ (1:21:39) Factors
⌨️ (1:28:34) Entering Data
⌨️ (1:34:18) Importing Data
⌨️ (1:42:29) Hierarchical Clustering
⌨️ (1:49:35) Principal Components
⌨️ (1:59:16) Regression
⌨️ (2:08:36) Next Steps

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[johnathnforcht]

There is no 'R01 Intro Files' folder anywhere so heres what you do:

1. Use the "Course Files" link in the description to access the files within the "folder"
2. There you will find every singular file you need to follow along with this course as pictured at 4:10 of the video
3. Download each to follow along with the tutorial

Side note: This tutorial is not for those who have never used R before. You will likely find it hard to understand unless you have some prior coding experience

Hope this helps.

[damienhackney]

There's something really soothing about this instructor's voice: puts you in a great state of mind for learning.

[marcfruchtman]

Course Files are renamed, all the prefixes R_01 etc were removed from every file name. See the description. Once you are in the folder and see the file names it will make more sense.
Plz like this comment so everyone see it.

[shahzaibzafar]

This 2 hour course is way better then how and what teachers teach in university..
Everything from the narrator's voice to how he made complex concepts soo easy to understand is mindboggling...
Loved it..♥️

[lucaspassoscosta]

That's why it's important to learn English. This tutorial is far better than any tutorial in my native language. I bet it's even better than some paid courses. Thanks for sharing it.

[Vincent-seyr]

For the mobile users,

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:02:20) Installing R
⌨️ (0:07:17) RStudio
⌨️ (0:11:52) Packages
⌨️ (0:19:16) plot()
⌨️ (0:27:49) Bar Charts
⌨️ (0:32:10) Histograms
⌨️ (0:39:44) Scatterplots
⌨️ (0:44:39) Overlaying Plots
⌨️ (0:52:30) summary()
⌨️ (0:55:49) describe()
⌨️ (1:00:17) Selecting Cases
⌨️ (1:06:14) Data Formats
⌨️ (1:21:39) Factors
⌨️ (1:28:34) Entering Data
⌨️ (1:34:18) Importing Data
⌨️ (1:42:29) Hierarchical Clustering
⌨️ (1:49:35) Principal Components
⌨️ (1:59:16) Regression
⌨️ (2:08:36) Next Steps

* Flies away *

[leftylizard]

For the histograms section, make sure you click the square on the top right of the plots pane so that it takes up the entire right side. If the plots pane doesn't cover the pane right above it, it will be too short to contain all 3 graphs in the section where you plot 3 graphs, all on top of one another, and you'll get an error message saying "figure margins too large".

[MsTriara]

Amazing video. Not only do you make R less intimidating, your voice gets me out of my anxiety mode. Thank you so much, you're doing God's work. ☺️

[walterrulez]

If you are a Windows user, and have run into an issue with importing around 1:38:45, producing an error that reads something like: "Error: '\U' used without hex digits in character string starting ""C:\U", the problem occurs because of the use of single forward slashes (I'm just learning this myself). One unfun but useful workaround is to just double the forward slashes like so: \\

Really clear and useful video but that might be an important point for non-Mac users.

[luizafreitas]

This class is just fabulous! I love how it started with data visualization and presented the unappealing but necessary part on data type and structure afterwards. It really helps those with "codefobia". Thanks a lot!!!

[jayantarianster]

This is the best introduction to R I could have had. I had a bit of programming experience from a decade ago and I am a bit of a statistics/numbers guy but hardly found resources that balanced these so well. I'm heading over to the other courses by datalab/Barton and further my understanding of the statistical application of R. Thanks a lot!

[TheCyberklutz]

Thank you, thank you, thank you for creating a step-by-step intro to R for people like me. I've been through countless sites claiming to be "Introductory" but all were just people navigating their own egos. Really appreciate this.

[TraversyMedia]

Looks interesting...Congrats on 1M! Hopefully I can catch up soon :)

[ekremmert]

@Xyilis thanks to you dear sir, I found the file mentioned in the video and I just drop your guiding message here. "It's in the description. It's Google Drive. The file names no longer have their prefixes. For example, instead of opening R01_2_1_InstallingR.R, you now open InstallingR.R. Hope this helps."

[hobihobi]

Sir, this video is so comprehensive and your voice is so soothing to the ears. Thank you for helping me to finally understand R programming within 2 hours - I’ve been taking this module in uni for close to half a semester now and none of the lecturers can teach the topic half as well as you do! Kudos!

[hlxekmw]

Need to learn r for economics ! This is so helpful! Thank you !!!

[ankursahni]

One of the wonderful tutorial I ever watched. Straight to knowledgeable information without any extra talk or distraction . Thank you so much.

[soumalyachakraborty]

This is by far the best and most applicable to the point R tutorial, period. I am not going to code, I am going to run some statistics, and this video gets the jobs done.

[deepaks.m.]

Please use some ads, if it helps you, we have no problem :)


Atleast i have no problem.

[cassandravonpohl]

I'm taking a Data Science course and the next module is R. But it doesn't start for two weeks (stupid winter break), so THANK YOU for putting this out there! I'm really looking forward to tearing through the material and acing this module like I did the last one!