Through training and consultation, we raise the quality of your work.
Find out more about Statistikakademins courses in:
Information about our upcoming courses and other services we offer.
R 2
Online: September 23–24
• Linear regression & ANOVA
• Advanced regression models
R 3
Online: October 8–9
• Visualisation & data exploration
• Cluster analysis & SEM
R 2
Online: November 26–27
• Linear regression & ANOVA
• Advanced regression models
R 3
Online: December 10–11
• Visualisation & data exploration
• Cluster analysis & SEM
Get started with performing your own statistical analyses in R or SPSS. Learn how to choose the right statistical method, and how to interpret and validate the results.
Gather your employees on a course just for your group. You choose the course format, and we put together the perfect training based on prior knowledge and needs.
Statistical analysis means investigating trends, patterns, and relationships. Our experts can assist you with your analyses and increase the quality of your work!
”We make statistics easy and more understandable”
A family-owned company from Uppsala with clients across Scandinavia.
In 1996, we organized our first training in statistics. The software used at that time was Statistica, and the company was called StatSoft Scandinavia. In 2016, Statistikakademin was established in its current form, and we offer statistical training and consulting services.
We would like to give you the opportunity to develop your statistical knowledge in the way that suits you best. Choose from one of our scheduled courses or gather your colleagues for a group training tailored just for you. Sign up for one of our online courses or attend one of our on-site trainings.
We can also help out with your statistical problems, regardless of size. Every new project begins with an initial meeting where our statistician reviews the questions, data collection, and choice of statistical method with you.
Why not use Statistikakademin’s consulting services and let one of our experts assist you?
Learn how to use survival analysis and biomarkers or machine learning with AI in R.
Go from being a beginner to being able to perform your own analyses
Start using R and learn how to handle the statistical methods you need to work independently with your own analyses.
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