Training materials
Competency level: Intermediate
and Related resources: Jupyter Notebook (without Solutions)
22 materials found
- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Algorithms13
- Computer programming13
- Data structures13
- Programming languages13
- Software development13
- Software engineering13
- Bayesian methods9
- Biostatistics9
- Descriptive statistics9
- Gaussian processes9
- Inferential statistics9
- Markov processes9
- Multivariate statistics9
- Probabilistic graphical model9
- Probability9
- Statistics9
- Statistics and probability9
- Show N_FILTERS more
-
-
-
Content provider
- GTN22
- Show N_FILTERS more
-
-
-
Competency level
- Intermediate
- Beginner28
- Advanced1
- Show N_FILTERS more
-
-
-
Target audience
- Students22
- Show N_FILTERS more
-
-
-
Contributor
- Saskia Hiltemann15
- Helena Rasche13
- Bérénice Batut9
- Anup Kumar7
- Donny Vrins7
- Anthony Bretaudeau6
- Björn Grüning6
- Marius van den Beek6
- Peter van Heusden6
- Wandrille Duchemin5
- olisand5
- Bazante Sanders4
- Wendi Bacon4
- Beatriz Serrano-Solano2
- Maria Christina Maniou2
- Stella Fragkouli1
- Show N_FILTERS more
-
-
-
Resource type
- e-learning22
- Show N_FILTERS more
-
-
-
Related resource
- Jupyter Notebook (without Solutions)
- Associated Training Datasets66
- Associated Workflows65
- Jupyter Notebook (with Solutions)22
- ARROWSMITH1
- DMPonline1
- Data Stewardship Wizard1
- DisProt1
- ENA1
- Event1
- HoloFood Project1
- MGnify1
- MetaboLights1
- Quarto/RMarkdown Notebook1
- RNA-seq data package1
- Slides1
- Workshop recording1
- Show N_FILTERS more
-
- Show materials from all spaces
- Show disabled materials
- Show materials with broken links
- Show archived materials
