Introduction to Biostatistics and Machine Learning

 Introduction to biostatistics and machine learning

National course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods. It would also suit those already applying biostatistical methods but have never got a chance to reflect on and truly grasp the basic statistical concepts, such as the commonly misinterpreted p-value.


Next course

  • September 12th - 16th, 2022
  • BMC, Husargatan 3, 751 23 Uppsala


 Application & Registration of interest
  • Application is now closed.
  • If you want to register your interest and get notified next time we offer the course you can fill in this form.


 Important dates
  • Application deadline: August 14st, 2022
  • Confirmation to accepted students: August 19th, 2022
  • Course days: September 12th - 16th, 2022


 Course content
  • Probability theory
  • Hypothesis testing and confidence intervals
  • Resampling
  • Linear regression methods
  • Introduction to generalized linear models
  • Model evaluation
  • Unsupervised learning incl. clustering and dimension reduction methods
  • Supervised learning incl. classification

More information can be found in last years course.



Preliminary course schedule can be found here.



In this course we focus on an active learning approach. The course participants are expected to do some pre-course reading and exercises, corresponding up to 40h studying. The education consists of teaching blocks alternating between mini-lectures, group discussions, live coding sessions etc.


Entry requirements
  • Basic R programming skills
  • No prior biostatistical knowledge is assumed
  • BYOL (bring your own laptop) with R and RStudio installed


 Selection criteria
  • Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.
  • NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.



2000 SEK

includes lunches and coffee 


travel-main.svg Travel info

For travel information and hotel bookings see Travel Information page 


 Course credits
  • Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate.

  • Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department.

 Teaching team


 Contact us
CC attribution share alike This course content is offered under a CC attribution share alike license. Content in this course can be considered under this license unless otherwise noted.