Explore Statistics with R - Karolinska Institutet

4.3
4 opinions
  • It's tag is self-managed and current yet when you enlist its documented. I honestly wish they would upgrade this. I really expecting to take part.
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  • The course is not self-paced when you enlist its said previously complete. I wished to take this course and bring an authentication yet with this course filed I could not. Its not a self-pace course please settle this.
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  • This is one of the best R programming classes. I took this class a year ago and this was my first R programming class. Dr. Andreas Montelius and staff at Karolinska made an incredible showing with regards to clarifying critical subtle elements that made comprehension the dialect a great deal less demanding. I wound up returning to the lectures and my notes to illuminate an idea or simply remind myself how to accomplish something. Remember that on-line classes are characteristically troublesome and generally you are left all alone - sink or swim. This class, and this must be stated, went the additional mile. Exceedingly suggested.
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edX

Online

Free

Description

  • Typology

    Course

  • Methodology

    Online

  • Start

    Different dates available

Description

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.

Facilities

Location

Starts

Online

Starts

Different dates availableNow taking bookings

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Opinions

4.3
fantastic
  • It's tag is self-managed and current yet when you enlist its documented. I honestly wish they would upgrade this. I really expecting to take part.
    |
  • The course is not self-paced when you enlist its said previously complete. I wished to take this course and bring an authentication yet with this course filed I could not. Its not a self-pace course please settle this.
    |
  • This is one of the best R programming classes. I took this class a year ago and this was my first R programming class. Dr. Andreas Montelius and staff at Karolinska made an incredible showing with regards to clarifying critical subtle elements that made comprehension the dialect a great deal less demanding. I wound up returning to the lectures and my notes to illuminate an idea or simply remind myself how to accomplish something. Remember that on-line classes are characteristically troublesome and generally you are left all alone - sink or swim. This class, and this must be stated, went the additional mile. Exceedingly suggested.
    |
100%
4.3
fantastic

Course rating

Recommended

Centre rating

Katherine Fiederer

4.0
20/12/2016
What I would highlight: It's tag is self-managed and current yet when you enlist its documented. I honestly wish they would upgrade this. I really expecting to take part.
What could be improved: No negative aspects.
Would you recommend this course?: Yes

Ex-student

4.5
19/12/2016
What I would highlight: The course is not self-paced when you enlist its said previously complete. I wished to take this course and bring an authentication yet with this course filed I could not. Its not a self-pace course please settle this.
What could be improved: Nothing bad.
Would you recommend this course?: Yes

Ex-student

4.5
18/12/2016
What I would highlight: This is one of the best R programming classes. I took this class a year ago and this was my first R programming class. Dr. Andreas Montelius and staff at Karolinska made an incredible showing with regards to clarifying critical subtle elements that made comprehension the dialect a great deal less demanding. I wound up returning to the lectures and my notes to illuminate an idea or simply remind myself how to accomplish something. Remember that on-line classes are characteristically troublesome and generally you are left all alone - sink or swim. This class, and this must be stated, went the additional mile. Exceedingly suggested.
What could be improved: Everything OK.
Would you recommend this course?: Yes

Ex-student

4.0
17/12/2016
What I would highlight: Phenomenal course, extraordinary guidelines, fascinating subject.
What could be improved: Nothing.
Would you recommend this course?: Yes
Reviews gathered by Emagister & iAgora

Achievements for this centre

2017

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Statistics
  • Data analysis
  • R
  • 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.

Explore Statistics with R - Karolinska Institutet

Free