Explore Statistics with R
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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.
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| Rating | 3.7★ based on 14 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 8 hours per week |
| Starts | Jul 7 (460 weeks ago) |
| Cost | $0 |
| From | KIx: Karolinska Institutet, KIx via edX |
| Instructors | Andreas Montelius, Peter Lönnerberg, Mikael Huss, Matilda Utbult |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Analysis & Statistics Math |
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What people are saying
johns hopkins data science
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.
covers 3 main topic
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.
score at last 60
The class awards a certificate if you achieve a total score at last 60% on the quizzes and the final graded assignment.
much theory-based rather than
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.
short lecture videos followed
bit over 2 hours
I finished this course with a 92% in a bit over 2 hours of total work, and I imagine anyone who has any experience with R could do likewise.
doing new stuff
high quality compared
little true challenge
research project conducted
good job
Good job, loved the teaching style!
instetutet through
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.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Adjunct Lecturer in Health Science $43k
Health Science Technology instructor $46k
Health/Science Reporter/Producer $59k
Allied Health Science Instructor $59k
Science and Health Teacher $60k
Health and Science Reporter $65k
Coordinating Producer, Health and Science $76k
Health Science Officer $79k
School of Health Science $79k
Health Science Liason $83k
Senior Health Science Specialist $86k
Associate Health Science Specialist $91k
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| Rating | 3.7★ based on 14 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 8 hours per week |
| Starts | Jul 7 (460 weeks ago) |
| Cost | $0 |
| From | KIx: Karolinska Institutet, KIx via edX |
| Instructors | Andreas Montelius, Peter Lönnerberg, Mikael Huss, Matilda Utbult |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Analysis & Statistics Math |
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