Computing for Data Analysis

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7/10 stars
based on  40 reviews
Provided by:
Cost FREE
Start Date TBA

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4998 reviews

Course Description

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.
Reviews 7/10 stars
40 Reviews for Computing for Data Analysis

Ratings details

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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psax profile image
psax profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
8 years, 8 months ago
I took this course last year when I decided to learn R programming. Although it is a short course which means it is not supposed to teach you all you have to know about R, I think it is a good review course covering many of the unique or useful features of R language. I brought the book "The Art of R Programming" as a reference in order to follow the lectures and to complete the programming projects. Since I had never been working on any programming projects before, these programming projects gave me opportunities to work with real data and to practice the techniques I learned both from the lectures and from the book.
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Alex Ott profile image
Alex Ott profile image
7/10 starsCompleted
  • 6 reviews
  • 5 completed
8 years, 8 months ago
I started this course together with my wife, but after she dropped out, I decided to finish it anyway. For me the course was very easy for me, as I program in different languages, and had some experience with R before. But I still found several useful tricks in lectures/tasks. The big problem of course is that it doesn't provide good introduction for non-programmers, and it's hard for them, and it too easy for people who can program...
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Ana Islas profile image
Ana Islas profile image
5/10 starsCompleted
  • 1 review
  • 1 completed
8 years, 8 months ago
I agree that this course is not for absolute beginners and that the info on the video lectures was not comprehensive enough to complete the quizzes/assignments. Of course, one can search for the needed info on the web or on R documentation, but then, the time to complete one quiz becomes overwhelming. Beyond that, I did learn a few basics. The course could mention that some programming experience is needed or the instructor could work with a neophyte and try to taylor the course to his/her needs.
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lastland profile image
lastland profile image
6/10 starsDropped
  • 3 reviews
  • 0 completed
8 years, 8 months ago
This course is a tutorial of R programming language. Maybe following a text form tutorial could be a better way of learning a language.
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swhgoon profile image
swhgoon profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
8 years, 8 months ago
I think it is a nice course! I did feel great to process REAL data and get meaningful results when doing homeworks~ And i'm looking forward to the Data Analysis course with Jeff Leek.
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emediquei profile image
emediquei profile image
6/10 starsCompleted
  • 5 reviews
  • 5 completed
8 years, 8 months ago
An introduction to the R programming language. If you are familiar with a few other programming languages, you may find it not too challenging.
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Robert Komartin profile image
Robert Komartin profile image
8/10 starsCompleted
  • 19 reviews
  • 16 completed
8 years, 11 months ago
Excellent course and inspired professor. The only problem I see with the course is the fact that four weeks is by far not enough time, which led to trying to fit a lot (maybe too much) in short sessions - often by not mentioning/ignoring the rationale behind the topics presented. Of course, I fully understand the time and effort needed by preparing such course, so my above comment should be taken rather as a constructive suggestion for improving the next releases of the course rather than mindless criticism... :-)
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filipok profile image
filipok profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
8 years, 10 months ago
Excellent introduction to R. Maybe too short, but the basics are covered. The video lectures are very dynamic, you don't get bored. Quizzes are not very complicated, but assignments can be challenging for an absolute beginner, and that's good.
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沈安 profile image
沈安 profile image
8/10 starsCompleted
  • 2 reviews
  • 2 completed
8 years, 10 months ago
It was a little bit difficult for me, having had no experience with R and limited programming experience. I learned a fair amount about how to use R, but did not get to learn as much about using it for statistics. I'm looking forward to the Data Analysis course with Jeff Leek.
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Chris Simmons profile image
Chris Simmons profile image
6/10 starsCompleted
  • 7 reviews
  • 7 completed
9 years ago
I'm torn with this course. I definitely learned some R and a few tricks, but if the course had been longer it could have covered some of the motivations behind data analysis in more depth. As quick introduction to R, the course was actually pretty good. Some people on the forum were decrying the fact that the programming assignments relied on functionality that wasn't explicitly covered in the lectures. I think this added to the course, since it showed off how good R's documentation is (via R Studio, at least). I'm not sure if I'll be in the position to use R in the near future, but I'm keeping the videos around just in case.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.