Get started with custom lists to organize and share courses.

Sign up

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Explore Statistics with R

Karolinska Institutet via edX

14 Reviews 342 students interested
Found in Data Science

Taken this course? Share your experience with other students. Write review

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

Tags

Help Center

Most commonly asked questions about EdX EdX

Reviews for edX's Explore Statistics with R
3.7 Based on 14 reviews

  • 5 stars 36%
  • 4 stars 14%
  • 3 stars 36%
  • 2 stars 14%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Gregory S
4.0 4 years ago
by Gregory 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 basics, getting and manipulating data in R and statistical tests in R. The 5th week consists of a final graded assignment where you follow along with research project conducted in R. Each week consists of a few short lecture videos followed by a series of graded quiz questions. The class awards a certificate if you achieve a total score at last …
3 people found
this review helpful
Was this review helpful to you? Yes
Brandt P
2.0 3 years ago
by Brandt 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 from the same issues as many of the other introductory R courses out there, namely, that there is very little true challenge in these courses and that most of the exercises are simply copying code and interpreting the output. Despite the criticisms of R Programming and the other JHU courses, those courses do force students to learn to write co…
1 person found
this review helpful
Was this review helpful to you? Yes
Alun R
5.0 5 years ago
Alun 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.
2 people found
this review helpful
Was this review helpful to you? Yes
Kristina Š
4.0 2 months ago
by Kristina 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!

Was this review helpful to you? Yes
Anonymous
5.0 3 years ago
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.
Was this review helpful to you? Yes
Kuhnrl30 K
2.0 4 years ago
by Kuhnrl30 completed this course.
1 person found
this review helpful
Was this review helpful to you? Yes
Mark B
3.0 3 years ago
by Mark completed this course.
Was this review helpful to you? Yes
Xristos G
3.0 4 years ago
by Xristos completed this course.
Was this review helpful to you? Yes
Colin K
3.0 3 years ago
by Colin completed this course.
Was this review helpful to you? Yes
Rafael P
3.0 4 years ago
Rafael completed this course.
Was this review helpful to you? Yes
Anonymous
5.0 4 years ago
Anonymous completed this course.
Was this review helpful to you? Yes
Asr A
5.0 4 years ago
by Asr completed this course.
Was this review helpful to you? Yes
Ricardo A
5.0 4 years ago
by Ricardo completed this course.
Was this review helpful to you? Yes
Rajanand R
3.0 4 years ago
by Rajanand is taking this course right now.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.