A 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 17 courses to the Course Finder. Currently we are at 166 courses on 16 different online platforms, and 2 offline Learning Institutes.
New added websites include:
If your an aspiring data scientist, or just interested in consumer behavior and marketing, A complete journey to web analytics using R tool is the course for you. In todays online webshops, web analytics is central in the business strategy, and this course teaches you everything! learn how to extract data from google analytics, turn it into real strategic business indicators. In section 7 of this course you will find out about differentiating new users, analyzing data from mobile browsers and optimizing your traffic by time of the day.
Without a doubt one of the hottest issues in data science remains how to combine fresh sources of data to optimize the solution to your problem. The course, Data Mining-Unsupervised Learning Using R will teach you in over 4.5 hours of lectures and Quizzes anything related to Network analysis, dimensions reduction and association rules.
Do you have 6 months to 1 year of R experience? Do you feel that all courses are aimed at beginners and can’t help you take the next step in your progress? Advanced R actually does what it says, this high pace course dives into advanced topics that will allow you to optimize your workflow in R. How do we speed up code? Embed code from different languages in R and quickly move on to regex text parsing. In just 4.5 hours the author covers a whole lot of topics that, as an intermediate R user will feel like a fresh breath of air to motivate you forward.
Besides these courses, we also added:
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.