R Programming

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Below are the top discussions from Reddit that mention this online Coursera course from Johns Hopkins University.

Offered by Johns Hopkins University. In this course you will learn how to program in R and how to use R for effective data analysis. You ... Enroll for free.

Reddsera may receive an affiliate commission if you enroll in a paid course after using these buttons to visit Coursera. Thank you for using these buttons to support Reddsera.

Taught by
Roger D. Peng, PhD
Associate Professor, Biostatistics
and 2 more instructors

Offered by
Johns Hopkins University

Reddit Posts and Comments

2 posts • 123 mentions • top 39 shown below

r/publichealth • post
17 points • implante
FYI - The Hopkins R programming Coursera course starts today (Aug 29)
r/datascience • post
52 points • cheese_stick_mafia
[Suggestion] Can we put together a wiki to answer all of the "How do I get started in DS?" questions?

I'm thinking a list of useful skills and links to online courses where they could start.

For example


Useful Programming Skills

  • R - https://www.coursera.org/learn/r-programming
  • Python - https://www.coursera.org/specializations/python
  • DB Languages - MySQL, SQLite, PostgreSQL,...
  • etc...

Statistics

  • Basic Summary statistics - course link
  • etc...

Useful Supporting Textbooks

  • Mastering Regular Expressions - http://shop.oreilly.com/product/9780596528126.do

Interesting Podcasts

  • Linear Digressions
  • Data Stories
  • Data Skeptic
  • Partially Derivative

Thoughts?

r/rprogramming • post
12 points • serenebeast
What are the best resources/course to learn R Programming for Beginners?

I am looking to advance my career as Data Scientist and would love to start with learning R programming. Would appreciate if you guys can help me with learning material. I do have a strong background in data analysis, but not a computer graduate.

I looked at this course https://www.coursera.org/learn/r-programming/reviews and found that it is not the best way to start as the reviews aren’t that good.

Appreciate your help.

r/Rlanguage • post
8 points • pickaname199
How good is the R programming course from Johns Hopkins on Coursera?

How good is the R Programming course from Johns Jopkins on Courserea. I have got zero experience in R and I would like to learn it from the scratch. I am also planning on buying the certification for the course so I would like to know if it is worth the investment. I'll also be working on R in my job in a few months and I would like to be ready and know at least the basics. I've got prior programming experience and am quite good in SQL.

I would like your opinion if you've taken the course and if you found it useful(or even if you haven't taken it). Do you find the course covers most of the essential basics while being friendly to a new-comer at the same-time? Or do you think there are better courses which I'd rather take? Any additional learning resources that'd go well with this course?

Your feedback is welcome. :)

r/labrats • comment
6 points • Cliodruze

I haven't finished it, but I was finding this Coursera course really helpful!

r/GradSchool • comment
7 points • funkykookaburra

Same boat my friend. I find that I suck without having a course and a timeline to follow though, so I recommend https://www.coursera.org/learn/r-programming. I'm personally in a course for R at my uni, but I've used coursera for other courses before and found it great.

r/bioinformatics • comment
7 points • coup321

From a MOOC perspective, I think this is the gold standard right now.

https://www.coursera.org/learn/r-programming https://leanpub.com/rprogramming

r/epidemiology • comment
2 points • epi_counts

Bit of a late reply, but I work at UCL as statistical epidemiologist. We've got lots of people working here who did the social epidemiology MSc (I don't teach on it, but know a few people who do), and people from LSHTM epidemiology or medical statistics. The Imperial students seem to stick to Imperial so don't really know about them.

I think at both universities the practical sessions are more based on Stata, but they teach a bit of R as well (though I think it's optional). The Andy Field book is great - it's very good at explaining some of the underlying concepts though much of that will be covered in your courses as well.

Most of my stats books are Stata based now (I don't recommend them - Stata is super expensive, just see what resources you get when you start your course), but this Coursera course was pretty good for learning some basic R.

r/coursera • post
5 points • sumairb
I need urgent help with peer reviews.

My deadline for completing the R Programming course on Coursera from Johns Hopkins University is in a few hours. The only thing remaining for me to complete the course is that I need my assignment to be peer-reviewed.

If you decide to help, enrol in the free trial for the course on Coursera, and go here: https://www.coursera.org/learn/r-programming/peer/tNy8H/programming-assignment-2-lexical-scoping/review/7NkwqHHKEemTARLqcGt5QA

Thank you!

r/UofT • comment
1 points • kainu2612

well, I had known all of the knowledge of sta257/261 before I learnt R, so it was a very smooth transition.

But if you don't know that, consider this.

https://www.coursera.org/learn/r-programming

r/Rlanguage • comment
5 points • brazzaguy

Hi there, I strongly recommend this book by Hadley Wickham. You can also audit some courses on Coursera. I found the R Programming course by John's Hopkins University taught by Roger Peng very helpful. There's a book to follow along which you can download for free. Link to the course https://www.coursera.org/learn/r-programming The book https://leanpub.com/rprogramming

r/Northwestern • comment
1 points • donobinladin

Coursera is a lot cheaper 😉

https://www.coursera.org/learn/r-programming

r/epidemiology • comment
1 points • InfernalWedgie

One semester of grad school for SAS, one month free online course for R.

r/badeconomics • comment
1 points • The_Amp_Walrus

I haven't taken it, but this might help get you started.

r/rstats • comment
1 points • ct0

https://www.coursera.org/learn/r-programming/

r/personalfinance • comment
1 points • knbotyipdp

Yes, this one.

r/FinancialCareers • comment
3 points • TonightYeaBaby

https://www.coursera.org/learn/r-programming

https://www.edx.org/learn/r-programming

If you already know python R should come fairly easy. The only thing is the indexing starts at 1 (blasphemy).

r/Rlanguage • comment
1 points • kalleron

I went with Coursera: https://www.coursera.org/learn/r-programming

I found it good paced, though the assignments are quite a jump usually. You really need to use everything you learned prior to pass them. However if you do this, you'll have usable skills.

r/statistics • comment
1 points • ohcalix

Johns Hopkins’ Coursera course R Programming — very good content, you can audit the course for free.

R swirl tutorials. Completely free, good if you like learning by doing.

r/CodingHelp • comment
1 points • Earhacker

Python can be used in just about every field these days.

Want to do web development in Python with Flask or Django? Then you probably also want to learn some JavaScript as well as HTML and CSS.

Want to "do Big Data" with Python using Numpy and Jupyter? Then you probably also want to learn R on top of some stats knowledge.

r/brasil • comment
1 points • tia_do_batman

Então vai de R parça, trabalho em área meio que entrelaçada com biologia (aquecimento global) e R é a língua que melhor domino, posso afirmar que biólogo tem tara por R. No mercado atual, principalmente no internacional, saber R é no mínimo excelente para seu currículo, e as vezes um requerimento.

Recomendo comecar com esse curso. Se vc gosta mais de uma "hands on approach" Swril é um recurso interessante.

r/bioinformatics • comment
1 points • makemyDNA

I'd recommend: https://education.rstudio.com/ (RStudio is the top integrated development environment for R. They have a spectrum of resources on their website to help you get started online, then take your work offline onto your own computer, which is where you'll want to be eventually. If you don't have RStudio installed already, you should do it now.)

https://www.coursera.org/learn/r-programming?ranMID=40328&ranEAID=je6NUbpObpQ&ranSiteID=je6NUbpObpQ-XrsIyF4plzg.ZAz9xilSmw&siteID=je6NUbpObpQ-XrsIyF4plzg.ZAz9xilSmw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=je6NUbpObpQ If you've already taken a few short courses, you can audit this Coursera course for free. It takes about 20 hours. Once you've finished, you can explore other courses on Coursera. Anything by Jeff Leek and Roger Peng is always highly reviewed by students.

https://www.lynda.com/search?q=R&f=producttypeid%3a2016 LinkedIn Learning gives you a free month to use their online material. They have a couple of course series (learning paths) that progress from easy to hard.

Hope this helps!

r/UMD • comment
1 points • konaraddio

> you would need to know R before even using Studio.

I'd recommend OP learn and use R with RStudio so that it's easy to execute code and view plots. RStudio makes it easy to get started with R and several resources for learning R recommend that the reader/viewer install RStudio. For example, swirl, R for Data Science, and R Programming on Coursera from JHU encourage the user/reader/viewer to install RStudio.

r/AskSocialScience • comment
1 points • Bukowsky123

There are some great and free classes on coursera: https://www.coursera.org/

I did this one a couple of years ago after also getting bored of Wickham's textbook: https://www.coursera.org/learn/r-programming#syllabus

This class is an Intro to R programming, not data analysis in R. But after learning R and Python, my impression is that it is really helpful to learn general programming skills which you then apply to social science data analysis. People focusing on data analysis instantly imho end up only being able to use the most basic functionalities and often are incapable of solving any problems that may occur with, e.g., funtions from R packages.

This is also a great Ressource for general programming abilities but uses Python: https://openbookproject.net/thinkcs/python/english3e/

My general suggestion is to do a class specifically geared towards data analysis (e.g. statistics in R or machine learning in Python or whatever you need) after going through these intro classes.

Have fun!

r/ucla • comment
1 points • dracarys317

Unless you have to use SPSS, don't learn it. It's really only use by psychology folks and some sociology folks, and it isn't as flexible as other options.

Use R if you don't want to spend money, the software is free and there are lots of free resources, such as this great Coursera course: https://www.coursera.org/learn/r-programming

If you want something that's a bit easier to use and more commonly used in practice than SPSS or R (particularly in economics, public health, and medicine). Buy a student discounted version of StataIC. One or two books at < $50/each will be enough to get you started and there are lots of great online resources. Depending on what you want to work with, there are some subject area specific Stata books. I get them all in ebooks for convenience: https://www.stata.com/bookstore/ebooks/

Here's the Stata purchasing page: https://www.stata.com/order/new/edu/gradplans/student-pricing/ Get a perpetual license if you think you're going to stick to one software. Stata is, by far, easier to learn and use than R.

If anything I'd take introductory statistics courses that have labs where you use R or Stata to do your homework.

r/bioinformatics • comment
1 points • 72minutes

I strongly suggest using Coursera, it's what I used before I started my M.Sc. project and it helped tremendously. I'm unsure about Python but for R I took this one: https://www.coursera.org/learn/r-programming.

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You can audit the courses for free on Coursera and get all the study materials or you can pay for it to get certifications and grading I think. You can search on their website as there are plenty of options offered. Hope that helps and best of luck.

r/rstats • comment
1 points • MirrorLake

I've seen that there are a few ongoing R Langauge MOOCs going on at EdX and Coursera recently. I can't vouch for any of them, but it might help for you to audit one of them for free.

Edx:

https://www.edx.org/course/statistics-and-r

Coursera:

https://www.coursera.org/learn/r-programming?specialization=data-science-foundations-r

And another one on Coursera:

https://www.coursera.org/specializations/statistics

r/Rlanguage • comment
3 points • Joe_BidenWOT

I interpreted the OP as saying that he has been using R for data science, not that he has been using the book R for Data Science and is dissatisfied. Perhaps I made a mistake.

If OP finds that R for Data Science is too light on the statistics, then the way to go would be a statistics book with applications in R. Since the OP is still in high school, I would recommend using The Statistical Sleuth 3rd ed, together with this website which has relevant R code for each chapter. The two books suggested in the post above also look good.

There are also online R courses via CodeAcademy, Coursera, Datacamp, Rstudio, and others.

Lastly, Learning R is a pretty in-depth guide to the R language itself. However the data-analysis workflow they use has been obsoleted by the workflow described in R for Data Science.

r/AskStatistics • comment
1 points • StringOfLights

R is great. It’s free, it’s very powerful, and the community that uses it does a great job. Other stats programs are getting harder to get due to cost, so if you’re going to commit to learning on, I’d go with R. I know people who exclusively use SAS who are having a tough time because their organization won’t pay for a license anymore, and I expect that’s happening with a number of these paid programs.

If you’re new to programming, check out https://swirlstats.com. This will get you comfortable with R and RStudio, which is a program that adds a lot of functionality to R.

For a notch above Swirl (and beyond) I’d suggest looking at https://www.datacamp.com/courses/free-introduction-to-r. Lots of folks really like Data Camp and seem to get a lot out of it.

There’s also a Coursera course on R programming that actually starts today: https://www.coursera.org/learn/r-programming I took it years ago and it was helpful, I’m pretty sure parts of it use Swirl, or at least they used to. That way you could use it to get a more functionality out of the Swirl package. It’s definitely a time investment though!

I like Hadley Wickham’s general philosophy and use his packages regularly, so I like R for Data Science. I have a copy of the book, but it’s also online: https://r4ds.had.co.nz

r/publichealth • comment
2 points • public_health_nerd

super bare-bones basics: use the swirl package in R. It will walk you through really basic coding right there in the console. in case you have never even downloaded R, here are the steps to get going:

install.packages("swirl")

library(swirl)

swirl()

If you have more time and want more detail, check out this free course https://www.coursera.org/learn/r-programming?specialization=data-science-foundations-r#syllabus

r/OMSA • comment
1 points • MoldableBarley

I do not know how 6040 goes because I exempted it. I did use [local] Jupyter notebooks for the two python homeworks in 6501.

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For 6501 you're going to want to use RStudio, too. You're going to want to use RStudio for everything. It's actually a really, really nice IDE, and everybody will be using it there, too. And I say that as the token annoying guy who is always like "screw your pycharms and your eclipses, vim is all the IDE anybody could want."

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Personally, I would advise making swirl a secondary resource for R. It's nice but it is not deep (and that is really just not my learning style; YMMV.) There's a free MOOC for ISLR that I have heard many people speak highly of; I believe this is it: https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about

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I did the Johns Hopkins R class on Coursera and really liked it (it does also have you go through swirl optionally, btw): https://www.coursera.org/learn/r-programming?specialization=jhu-data-science I found the Coursera stuff especially good for 6501 as it goes over R Markdown and I used Rmd for all of my R 6501 homework. Rmd is really not rocket surgery, but while you're learning one thing might as well get comfortable with another.

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Good luck!

r/statistics • comment
1 points • Vottle_of_Bodka
r/statistics • comment
1 points • chalwanna

MOOC: Coursera , Future Learn , Udemy , Open Unis , EdX

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any many useful linkd over here

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Best of luck!

r/rstats • comment
1 points • mCmurphyX

The Johns Hopkins University R courses on Coursera by Roger Peng, Jeff Leek, and Brian Caffo are fantastic and mostly in base R

  • R Programming https://www.coursera.org/learn/r-programming
  • Advanced R Programming https://www.coursera.org/learn/advanced-r
  • Getting & Cleaning Data https://www.coursera.org/learn/data-cleaning
  • Exploratory Data Analysis https://www.coursera.org/learn/exploratory-data-analysis

Winston Chang's Cookbook for R: http://www.cookbook-r.com/

An Introduction to Data Cleaning with R free ebook by Edwin de Jonge & Mark van der Loo https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf

r/weightroom • comment
1 points • simonswes

R is what I'm most familiar with, although I'm using it less and less these days. I found R to be very easy to get up and running. Python can be more of a struggle to setup, although improvements have been made. SQL can be an absolute pain to install, although there are some really good online environments for learning. Ideally the best place to start is going to be something that you can use at work. If you've got big excel files that become unwieldy, then R is crazy helpful (python too). If you have SQL databases that you can access them just jamming on SQL stuff is great.

Here are some resources that should help you get started. This online book is a great place to start for R, and will get you a good intro into Tidyverse, which is just about the best data manipulation package around. There are a whole bunch more books here. Practice projects. More data science focused. Coursera has a number of good classes. These are often a little more statistics heavy, but i don't think you need a total understanding to get practice writing code and thinking about inputs and outputs.

These cheat sheets, particularly the data manipulation one, are invaluable. I'd print a copy and leave it on your desk. If you need help google is your best friend. Stackoverflow has an answer for literally every question ever asked. If you prefer something more personal feel free to shoot me a message, although I'm far from an expert. Keep in mind that the first few runs through any of this stuff are going to be confusing, but the second and third time you hit a problem things start to open up, and pretty soon you can at least hack your way to something very inefficient. I went from not knowing how to spell "R" to writing some decent scripts for big national companies. The most useful skills are going to be a desire to solve problems, the ability to think semi-efficiently about your data, and a willingness to test and fail. So so so much failing.

r/dataanalysis • comment
1 points • IronFilm

Yes, self teach yourself the basics. First of all teach yourself First Year level statistics, then do an easy "Intro to R Programming" MOOC such as: https://app.datacamp.com/learn/skill-tracks/r-programming or https://www.coursera.org/learn/r-programming or https://www.codecademy.com/learn/learn-r or https://www.edx.org/learn/r-programming or https://www.dataquest.io/course/intro-to-r-rewrite/ or etc

You won't become "a programmer" from doing those, nope, not at all! Won't even begin to scratch the surface.

But if you wish to take this seriously, then add Python programming skills, at the basic equivalence of a First Year undergrad in CS. as you can self study the equivalent of all of Stage One CompSci if you do these series of courses from Georgia Tech: https://www.edx.org/professional-certificate/introduction-to-python-programming

r/vcu • comment
1 points • mckaa123

Recommendations for R and Python:

R first because that's what I actually use:

*The Coursera course. It's really good and you'll learn a lot.

*R Cookbook. Great book

*R for Everyone. Another great book

*General R comment: I don't know if you learn base R or tidyverse/dplyr in the program (I'm not in IS and not involved in the decision analytics program). However, I recommend learning tidyverse for data analytics. The code is a lot more intuitive and base R is a lot clunkier. If I had to guess though, you'll learn base R.

*If data visualization is in your future, get the ggplot2 book. If you're interested in data visualization "theory," I'd recommend Beautiful Evidence, The Visual Display of Quantitative Information, or Now You See It. You will learn a lot about creating good visualizations from those books.

Python (I don't really use it, but have a few recommendations):

*The Coursera course. I did the first lesson a while back and it's good, but starts VERY basic.

*Data Science from Scratch. I own this book and it looks good from the few times I've opened it (I got this book years ago thinking I should learn Python for a project. I switched back to R, so never really used the book in the end)

r/RStudio • comment
1 points • sarptas

I think you're looking for guides/tutorials/lessons on R. It's because RStudio, most basically, is an alternative GUI for R.

There exist numerous resources on R on the web.

Quick-R is a good start point to learn R. https://www.statmethods.net/

A free course on R @Datacamp: https://www.datacamp.com/courses/free-introduction-to-r

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Some courses @Coursera

R Programming course: https://www.coursera.org/learn/r-programming

Statistics for R: https://www.coursera.org/specializations/statistics

Other R courses: https://www.coursera.org/courses?query=R

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And as you know, tons of video lectures @Youtube: https://www.youtube.com/results?search_query=r+programming

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Here is R documentation including many manuals:https://www.r-project.org/other-docs.html

20 Free Online Books to Learn R and Data Science: https://cmdlinetips.com/2018/01/free-online-resources-books-to-learn-r-and-data-science/

Learn R : 12 Free Books and Online Resources: http://ucanalytics.com/blogs/learn-r-12-books-and-online-resources/

R related twitter accounts: https://twitter.com/sarptas/lists/r

r/pakistan • comment
1 points • salikabbasi

It's pretty out there. I'll be frank the UNSC stuff won't be up to you, if you remember from the Model UN, non-permanent members have to be elected, so that's practically gobbledigook as a goal. You're more likely to get more leeway working for legislators and learning the ropes there than trying to set up some sort of crazy lobbying group on your own. There are already foundations that sort of do that like the American Pakistan Foundation:https://www.americanpakistan.org/

I'd say honestly you need to put in a lot more thought about a career trajectory that actually interests you and see what the real world positions are like. Lobbying means a lot of hand shaking and talking to people and legwork. It's a lot of budget wrangling and white papers and impact papers and negotiating with people on their terms and being an advocate for local issues first and foremost. You're not going to get to advocate for anyone internationally for a long while, even in the foreign service. The UN is a lot of rules and procedure and coordination, you don't really get to be dynamic there, you'll very much be a cog, that's how it works. The UN has an equivalent of C-Span that's worth checking out:https://media.un.org/en/webtv

Go to the UN jobs page, look at the job descriptions etc, go to the UN University site, look up some IR/Public Policy journals (your local public library will let you have access if you want to be legal and don't have access to your college library anymore warna Scihub zindabad), go to talks at universities, pound pavement, email people, 1 out of 10 of them will reply to you, and if you're lucky more will. But yeah, get a Master's in Public Adminstration/Policy. The only catch is that those tend to be economics focused so there's a bunch of statistics involved nowadays which you'll have to brush up on, and that's something you want to lean into, because it's the largest growing part of public policy/administration sectors and it'll be unavoidable in a few years.

At the very least you'll want to learn some scientific computing:

https://www.freecodecamp.org/learn/scientific-computing-with-python/#python-for-everybody

And once you brush up on the math a little then:https://www.freecodecamp.org/learn/data-analysis-with-python/

Pick up a course on R because it's the go to data mining and wrangling tool in general in academia now. If you're not a math person it's a little hard to get going but it's almost a necessity to have some data mining skills in public policy programs these days, so you should start soon:https://www.codecademy.com/learn/learn-r

https://www.coursera.org/learn/r-programming

https://www.datacamp.com/community/blog/how-to-learn-r

https://youtu.be/_V8eKsto3Ug

If you're not a statistics person, don't worry. It's better if you are, but you can get away with just knowing how it's being used, which unfortunately you'd still have to learn so you can assess work or read off databases, how data visualizations can be flawed, what a table generally should look like, how to assess margins of error and how to talk to colleagues about it. The future of public policy and administration is data though so you might as well bite the bullet and do the work. Don't get me wrong, being a strong writer is still important too.

This is a good book to get started, assuming you follow up on some of the more complicated math yourself: https://www.amazon.com/Practical-Research-Methods-Nonprofit-Administrators/dp/0205639461

You can find it on Library Genesis easily. If you wind up in a government job it won't matter as much in the US, they have number crunchers specializing in that, but if you're working for lobbyists, NGO's, want some say in making decisions in the future, this is necessary now or at least is going to be something you're assessed for over the next ten years. Gone are the days where you got a PoliSci degree to get into a public policy or IR job, outside of academia. I don't think LinkedIn even has PolSci as an option anymore.

Also the r/PublicAdministration subreddit maintains a Google Drive with great books worth browsing, although you'll have to find a lot of it yourself, since some of it is just reviews or links: https://drive.google.com/drive/folders/1VD1HlUdX3RAyWGQ8x9vLQirtAkA-i0_D

Or you know, you could do your masters, get a job, do your CSS (remember you have to be under 30 when you take the exam) and climb the ranks in Pakistan. If you do good work the world's getting more complicated, and it's going to get harder and harder to be incompetent in government without horrible results. With the sort of data driven policy in our future you could be a pioneer here, and it'd be far more accountable than it used to be by its very nature. Good luck.