Basic statistics theory, Leuven - online
General context
The training is available on YouTube: https://youtu.be/Zd9FkB348zk
The training will be replaced by an online questions and answers session on May 12th.
Please watch the youtube video and send questions to Janick.Mathys@vib.be before May 11th.
Please register for this training if you want to be contacted with details about the questions and answers session.
For those who want to follow a live face-to-face training: these will not be organized before September.
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This training gives an introduction to the use of statistics for basic analyses of life sciences data.
This training is a prerequisite introduction to a series of hands-on trainings on the statistical analysis of life sciences data: 'Basic statistics in R' and 'Basic statistics in Graphpad Prism'. If you want to follow one of these trainings, you have to follow this introduction. Ít will give you all the theoretical background that you need.
Those that already have a strong statistical background may register directly for the 'Basic statistics in R, part II' training.
After this basic statistics theory session, you should be able to:
- Understand basic statistical concepts and methods for statistical analysis of life sciences data
- Choose the correct statistical test for analyzing your data
- Interpret and critically assess the results of basic statistical analyses
No skills required.
Trainers
Janick Mathys
Janick tries to help VIB scientists analyze their data by offering bioinformatics training and support. Next to organizing trainings, creating e-learning courses and teaching statistics, R, Python, Linux, HPC, bulk and single cell RNA-Seq analysis, she consults scientists and develops pipelines for omics analyses. Before joining VIB, she worked as a post-doc at KULeuven, doing research on transcriptomics and transcription regulation. She coordinated the Master of Bioinformatics program of KULeuven and taught the course on Biological Databases.
Program
Which statistical test should you choose ?
How to describe your data ?
How to visualize your data ?
The do's and don'ts of reporting statistics
Tips and tricks to improve the power of your tests
Examples