Learn how to manage and describe your data using graphs and tables at our courses this fall.

Choose between instructor-led online training in SPSS or R.

Theory is mixed with examples and exercises to help you get started with both the software and the fundamentals of statistics in the best way possible.

Statistikakademin is the Nordic region’s leading company in statistical software training. We have around five hundred participants in our courses every year with extremely high overall ratings. We constantly hear from participants that they consider our courses to be a perfect introduction to the field of statistics. The overwhelming majority of them are employed as PhD students, researchers, or analysts.

Data and graph management with Basic statistics
December 13–14, on Zoom

• Data management
• Describing data with tables and graphs
• Basic statistical concepts
• Correlations
• Comparisons of mean values
• Tables and relationships between categorical variables
• Non-parametric methods

R 1
Introduction to R, Linear regression, and ANOVA
November 15–16, on Zoom

• Handling data
• Data visualisation
• Correlations
• T-test
• Linear regression
• Modern statistical tests
• Linear regression

R 2
Advanced regression, Survival analysis & Visualisation
December 6–7, on Zoom

• Logistic regression
• Poisson regression
• Kaplan-Meier curves
• Cox PH regression
• Log rank test
• Visualisation
• Exploratory data analysis
• The ggplot2 package

Click here to contact us with questions, reservations, inquiries or whatever it may be!

News and updates

May 21–22, 2024

Data and graph management with Basic statistics in SPSS

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Let us help you raise the quality of your work this fall.

2 new R courses

• Introduction to modern statistics • Cluster analysis & SEM

Get started in 2023

Courses in R & SPSS

R- All courses 2022

Rehearse old knowledge or learn something new at our educatons this fall

R4, what is it good for?

A short Q&A with the course developer Måns Thulin

R 4 – new course!

Learn how to visually explore data in R.