R Course Finder December update!

December 3, 2016
By

(This article was first published on R-exercises, and kindly contributed to R-bloggers)

eye-15699__180A few months ago we launched R course finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their valuable time and (sometimes) money.

If you haven’t looked at it yet, go to the R Course Finder now by clicking here.

Last month we added 22 courses to the Course Finder. Currently we are at 140 courses on 14 different online platforms, and 2 offline Learning Institutes.

This month we added two new platforms:

Other then adding these platforms we also kept expanding the content on platforms already available in the Course Finder. There were some new courses added this month we we’re excited about and wanted to highlight:

Highlighted Courses

Foundation of Strategic Business Analytics
This course offered by Coursera is part of the ‘Strategic Business Analytics’ specialization. Business analytics is one of the hottest places to work in these days and this course, together with the entire specialization, lays out in great detail the skills you need to enter this field. It also raises the question when we are going to merge business analytics and Data Science into one, Data analytics anyone?

Regression Machine Learning with R
This is an Udemy course that seems to me (and I’ve been working on this database for a while), is one of the most complete courses on Machine Learning so far available. It also has a good pace that connects to those of us who have a solid statistical background and know how to work with R, but want to focus on this concept in more detail.

How you can help to make R Course Finder better

  • If you miss a course that is not included yet, please post a reminder in the comments and we’ll add it.
  • If you miss an important filter or search functionality, please let us know in the comments below.
  • If you already took one of the courses, please let all of us know about your experiences in the review section, an example is available here.

And, last but not least: If you like R Course Finder, please share this announcement with friends and colleagues using the buttons below.

To leave a comment for the author, please follow the link and comment on their blog: R-exercises.

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