The R Programming Environment

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

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

Data Manipulation Regular Expression (REGEX) R Programming Rstudio

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Taught by
Roger D. Peng, PhD
Associate Professor, Biostatistics
and 1 more instructor

Offered by
Johns Hopkins University

Reddit Posts and Comments

0 posts • 2 mentions • top 2 shown below

r/bioinformatics • comment
1 points • Marmmoreno

Dont worry you dont really need a master in biotechnology to go straight to bioinformatics it just that for me it took me a while to find finally in the sea of things i liked the one that suited me better :) For the master, I studied in Madrid (Spain) this is the official page http://www.masterbioinformatica.com . It was a really nice one, even if really packed we were able to elarn a lot and the teachers were always available, they are always there to help even now :) Although is in spanish so you may find other programs in your country of origin where you can take the master. I won’t lie to you, if you don’t have any previous programming knowledge, coding is going to be HARD at the beginning, but seriously the more you try and fight with the code the more you will learn and it will come more naturally and fast, and I mean it that is what our teachers used to tell us and we looked at them with a high dose of scepticism but now i love it and you get better everyday and able to solve more complex things. But I will really recommend for you to begin preparing: 1. If you dont have a computer with a unix based/linux operative system (like Ubuntu or scientific linux) install it 2. Then the real first step will be to learn how to use the command line of linux ...(hopefully) or bash script. The commands like grep, sed, awk, head, wc... you should be able to use them they are extremely useful.  i saw this course that can be maybe helpful.... I have never taken a course on this but i am sure this one will be good https://www.coursera.org/learn/unix   2. So ...learning to code ... I dont know which programming languages they are gonna teach you but I suppose it will be R, python and /or Perl? going to  a. Codeacademy can be really nice for python and for sql. I took the python one :) https://www.codecademy.com b. for R there is a platform called shiny that many courses in R use to teach with explanations and is really nice to learn on it.. Some other courses that use this platform and have videos and a lot of explanations you will be able to find in coursera. I highly recommend some of johns hopkins university they are extremely well done   https://es.coursera.org/learn/r-programming https://www.coursera.org/learn/r-programming-environment   3. And the most important thing... there are thousand of answered questions about how to do things in bioinformatics you just need to ask google and check specific webpages. When u begin to get confortable with the amount of new info I recommend that you subscribe to biostars, R bloggers, stackoverflow... and many more so you can also follow news. And depending on your country of studying there should also be there some R users community or bioinformatic community that can be interesting to join to get info about seminars, courses…. Good luck with it!

r/AWSCertifications • comment
1 points • dubven

Thanks. Sure, no problem:

It's given by SCRUMstudy itself:

https://www.scrumstudy.com/certification/scrum-fundamentals-certified

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And the other 3 are:

The R Programming Environment:

https://www.coursera.org/learn/r-programming-environment/home/welcome

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Data Science Methodology:

https://www.coursera.org/learn/data-science-methodology/home/welcome

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Version Control with Git:

https://www.coursera.org/learn/version-control-with-git/home/welcome

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I started studying about Data Science because I am a "technically" a Data Engineer and knowing Data Science things are a big plus and I liked it, now I am the lead Data Engineer/Python Developer/Solutions Architect.