April R Course Finder update: Logistics Regression, New platforms and Complete Machine Learning

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eye-15699__180Last year 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 17 courses to the Course Finder. Currently we are at 171 courses on 18 different online platforms, and 3 offline Learning Institutes.

Newly added platforms include:

Highlighted Courses

Learning Path: Real-World Data Mining With R

When working with data, so often we first have to consider data mining, Learning Path: Real-World Data Mining With R offers a complete learning path for this essential problem.

Logistic Regression Workshop using R – Step by Step Modeling

The course, Logistic Regression Workshop using R – Step by Step Modeling really peaked our attention as it seems to be one of the rare cases that promote content quality over advertisement. This relatively short course description does not speak for the content and indepth discussion of Logistic regressions in R.

R: Complete Machine Learning Solutions

We have many different courses in our directory that cover the current hype in Data Science, Machine learning, this course R: Complete Machine Learning Solutions covers the whole process front to end, and leaves no room for interpretation. It can be very useful as a back reference for anyone who knows some of these concepts, but wants to return and read about them .

Besides these courses, we also added:

Introduction to R: ETH Zurich
Data Science Certification Training – R Programming
Creating Interactive Presentations with Shiny and R
R: Complete Data Visualization Solutions
R Programming from Scratch
Volatility Trading Analysis with R

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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