Courses in statistics

Last changed: 24 September 2024

Our Ph.D. courses have strong data analysis components. As statistical software we use R. On completion of the course the participants should be able to conduct statistical analysis on their own data independently or with limited help from our consultants.

For the coming years the following courses in statistics are planned. For exact dates and information about application see our calendar. Course outside this schedule, workshops and drop-in times are also announced in the calendar and/or as a news item. 

 

 

Courses given on a regular basis
Statistics I: Basic Statistics, 4hp
Statistics II: Experimental design and ANOVA, 4 hp
Statistics III: Regression analysis, 4 hp
Statistics IV: Generalised linear models, 4 hp
Statistical Methods – an overview, 4.5 hp

Courses 2019-2022

2023-2025

Alnarp

Uppsala

Umeå

Spring 2023

Statistical methods –
an overview

 

Statistics I: Basic statistics

Statistics III: Regression analysis

 

Statistics IV: Generalised linear models

Statistics I: Basic statistics

 

Autumn 2023

 

Statistics I: Basic statistics

 

Statistics II: Analysis of experiments using mixed-effects models (d)

Statistics III: Regression analysis (d)

Spring 2024

Statistical methods  –
an overview

 

Statistics I: Basic statistics

Statistics III: Regression analysis

Statistics II: Analysis of experiments using mixed-effects models (d)

Statistics IV: Generalised linear models

Statistics I: Basic statistics

 

Sampling (d)

Autumn 2024  

Statistics I: Basic statistics

Statistics IV: Generalised linear models (d)

Spring 2025

Statistical methods for natural sciences – an overview

 

Statistics I: Basic statistics

Statistics II: Analysis of experiments using mixed-effects models (d)

Statistics III: Regression analysis

 

Statistics IV: Generalised linear models

Statistics I: Basic statistics

Autumn2025  

Statistics I: Basic statistics

 

Statistics II: Analysis of experiments using mixed-effects models (d)

Statistics III: Regression analysis (d)

(d) indicates that this course is given as distance course. Also other courses might be able to participate at distance. See https://www.slu.se/en/education/programmes-courses/doctoral-studies/search-doctoral-courses/ for updated information.


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