Explore Statistics with R

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Course Date: 09 September 2014 to 14 October 2014 (5 weeks)

Price: free

Course Summary

Learn statistics in a practical, experimental way, through statistical programming with R, using examples from the health sciences. We will take you on a journey from basic concepts of statistics to examples from the health science research frontier.

Course Instructors

Andreas Montelius

Andreas Montelius is a researcher and teacher at Karolinska Institutet. He designed and teaches a number of courses in statistics, including campus and online courses in Statistical programming with R and Gene Expression Analysis. Andreas earned his PhD at Molecular Neurobiology, Karolinska Institutet, in 2007. His current research focuses on the impact of high intensity interval training on muscle gene expression and physiology. Andreas has been cofounder of start-up companies, in biotechnology and bioinformatics software development. He is a founding member of the Stockholm R User Group, SRUG. As a teacher, Andreas has a solid reputation of making statistics fun and easy.

Peter Lönnerberg

Peter Lönnerberg is a bioinformatician and programmer at the department of Medical Biochemistry and Biophysics at the Karolinska Institute. His focus is on developing techniques for single cell RNA-sequence analysis. He got his Ph.D. studying neuronal specific gene regulation at the Karolinska Institutet.

Mikael Huss

Mikael Huss is a bioinformatics scientist at SciLifeLab and Stockholm University. He obtained a PhD in computer science from the Royal Institute of Technology in 2007 and has been working with bioinformatics and data analysis related to massively parallel DNA sequencing experiments since then. Mikael's research currently focuses on RNA sequencing and metagenomics, and he frequently applies R for his problem solving. He blogs about a variety of topics related to data analysis and life science at followthedata.

Matilda Utbult

Matilda is a student at Karolinska Institutet. She was awarded the Karolinska Summer Research School Scholarship. In that project she developed random forest models predicting disease using gene expression and clinical data. She has previously been a teaching assistant in the course ‘Statistical Methods with R’ offered at Karolinska Institutet.

Course Description

Skilled persons who can process and analyze data are in great demand today. In this course you will explore concepts in statistics that help you 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 get to perform some really complicated calculations and visualizations, following in the footsteps of Karolinska Institutet’s researchers.

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