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Explore Statistics with R - Karolinska Institutet

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  • Corso
  • Online
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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.

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Il meglio Phenomenal course, extraordinary guidelines, fascinating subject.

Da migliorare Nothing.

Corso realizzato: Dicembre 2016 | Recomendarías este centro? Sí.

Il meglio 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.

Da migliorare Everything OK.

Corso realizzato: Dicembre 2016 | Recomendarías este centro? Sí.

Il meglio 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.

Da migliorare Nothing bad.

Corso realizzato: Dicembre 2016 | Recomendarías este centro? Sí.

Cosa impari in questo corso?

Data analysis
Health sciences


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.