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edX

Explore Statistics with R

Karolinska Institutet via edX

Overview

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.

Taught by

Andreas Montelius

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Reviews

3.7 rating, based on 14 reviews

Start your review of Explore Statistics with R

  • Gregory J Hamel ( Life Is Study) completed this course and found the course difficulty to be easy.

    Explore statistics with R is a 5-week introductory level course offered by the Karolinska Instetutet through the edX platform, covering the basics of R, statistics and using R for statistical analysis. The course covers 3 main topic areas in 4 weeks--R...

  • Brandt Pence completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

    This course, offered by the Karolinska Institute, is a gentle introduction to the R language. I have to admit that I only watched a few of the videos. These are very high quality compared to the Johns Hopkins Data Science courses, but this course suffers...

  • Alun Ap Rhisiart completed this course, spending 3 hours a week on it and found the course difficulty to be medium.

    This was a very well presented course. I have programming experience in a number of languages, but not R. This course was a great, and very approachable, introduction to statistical analysis and R. You don't need to know much statistics, but it does help.

  • Kristina Šekrst completed this course and found the course difficulty to be easy.

    I enjoyed this course to brush up some of my R skills, and it was a nice introduction to statistics as well. However, some of the later stages of the course were a bit too much theory-based rather than doing new stuff in R, so this could be improved. Good job, loved the teaching style!

  • Anonymous completed this course.

    Awesome course! The concepts are nicely explained and the practice examples are very helpful in strengthening the material. I wish there were more advanced courses with R.

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