Explore Statistics with R - Karolinska Institutet

4 opinions


Important information

  • Course
  • Online
  • When:

Learn basic statistics in a practical, experimental way, through statistical programming with R, using examples from the health sciences. With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Important information

Where and when

Starts Location



What I would highlight Excellent course, great instructions, interesting subject.

What could be improved Nothing.

Course taken: January 2016 | Recomendarías este centro? Sí.

What I would highlight This is one of the best R programming classes. I took this class last year and this was my first R programming class. I didn't know this at the time but looking back this proved to be the best R programming class for me by far. Dr. Andreas Montelius and staff at Karolinska did a great job explaining important details that made understanding the language a lot easier. I found myself coming back to the lectures and my notes to clarify a concept or just remind myself how to do something. Keep in mind that on-line classes are inherently difficult and many times you are left on your own - sink or swim. This class, and this must be said, went the extra mile. Highly recommended.

What could be improved Everything OK.

Course taken: February 2016 | Recomendarías este centro? Sí.

What I would highlight The course isn't self-paces when you enroll it's said already finish. I wanted to take this course and take a certificate but with this course archived I cannot. It's not a self-pace course please fix this.

What could be improved Nothing bad.

Course taken: April 2016 | Recomendarías este centro? Sí.

What you'll learn on the course

Data analysis
Health sciences

Course programme

Do you want to learn how to harvest health science data from the Internet? Or learn to understand the world through data analysis? Start by learning R Statistics! Skilled professionals who can process and analyze data are in great demand today. In this course you will explore concepts in statistics to make sense out of data. You will learn the practical skills necessary to find, import, analyze and visualize data. We will take a look under the hood of statistics and equip you with broad tools for understanding statistical inference and statistical methods. You will also perform some really complicated calculations and visualizations, following in the footsteps of Karolinska Institute’s researchers. Statistical programming is an essential skill in our golden age of data abundance. Health science has become a field of big data, just like so many other fields of study. New techniques make it possible and affordable to generate massive data sets in biology. Researchers and clinicians can measure the activity for each of 30000 genes of a patient. They can read the complete genome sequence of a patient. Thanks to another trend of the decade, open access publishing, the results of such large scale health science are very often published for you to read free of charge. You can even access the raw data from open databases such as the gene expression database of the NCBI, National Center for Biotechnology Information. We will dive into this data together. Learn how to use R, a powerful open source statistical programming language, and see why it has become the tool of choice in many industries in this introductory R statistics course.