Data Science
Foundations using R

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

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Data Science Machine Learning Github R Programming Exploratory Data Analysis Rstudio Data Analysis Debugging Data Manipulation Regular Expression (REGEX) Data Cleansing Cluster Analysis

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

Offered by
Johns Hopkins University

This specialization includes these 5 courses.

Reddit Posts and Comments

5 posts • 185 mentions • top 6 shown below

r/AskStatistics • comment
1 points • PatronMaster

I made this course it is very good but also hard. You can choose free or pay.

r/epidemiology • comment
4 points • public_health_nerd

I learned how to use R from the Hopkins Coursera course years ago. Now, R is my go-to software. I think this is their updated version of it:

When I TA intro methods courses that use R, I recommend students download the swirl package: It is less intense than a Coursera course and can help folks pick up some bare-bones basics. There are also more advanced lessons for folks who want them.

r/datascience • comment
1 points • PercussiveWeap

I am interviewing for an institutional research position at a college. I'm an admin by trade and self-taught in R. I want to brush up on my R and the interviewer said it would help to know how to "transform and analyze" data in R. Would this series of courses be good for brushing up? Thanks,

r/bioinformatics • comment
5 points • martasetzer

First of all, congrats for your choice ;) I'm doing bioinformatics right now and is important to have a minimum knowledge on programming, even for running someone's else software. You can be a basic bioinformatician and perform analysis using available software (it's okay and they're necessary too because sometimes it's hard to do it and to interpret the results) or you can be develope your own software and analysis. In this case, you really have to know how to program.

It's weird that your university doesn't teach you basic programming, maybe it's not specified but you will do. If not, maybe you should think about going to another university.

In bioinformatics the most used programming languages are Python and R (most for the statistics part), and you should also be used to work with the Linux command line. There's a lot of online courses on coursera to learn this.

Python: (I did this one when I started)



Enjoy the journey! Programming could be really frustrating sometimes, but hold on! And the end it's really fulfilling. Hope it helped :)

r/datascience • comment
1 points • Waldo805
r/labrats • comment
1 points • AlchemicalAle

I was actually in your shoes a little while back (starting my PhD with no real coding experience). Funnily enough, I also wanted to learn about coding with an emphasis on bioinformatics (Python & R). For that, I've been working through a couple of Coursera specializations. The main reason I chose Coursera was so that I could put the completion certificates on my LinkedIn, which I'm hoping gives me at least some minor legitimacy over someone just *claiming* to have experience.


If you're looking for specifics, here is a list of the specializations I'm using: