Training materials
Scientific topics: Bayesian methods
and Authors: Olin College of Engineering
and Keywords: Statistics
2 materials found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- Glittr.org2
- Show N_FILTERS more
-
-
-
Keyword
- Statistics
- Python2
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified2
- Show N_FILTERS more
-
-
-
Author
- Olin College of Engineering
- SIB Swiss Institute of Bioinformatics8
- Instituto Gulbenkian de Ciência4
- The Gulbenkian Training Programme in Bioinformatics4
- carpentries-incubator4
- CRUK CI Bioinformatics Core3
- Max Planck Institute for Evolutionary Anthropology3
- Richard McElreath3
- Allen Downey2
- David Dalpiaz2
- Oslo Centre for Biostatistics and Epidemiology2
- UIUC2
- @formbio1
- A. Solomon Kurz1
- Aedin Culhane1
- Aix-Marseille Université1
- Canadian Bioinformatics Workshops1
- Causal Inference in R1
- Computational Biology and Bioinformatics at UCLouvain1
- Dana Farber Cancer Institute, Harvard School of Public Health1
- Daniel Kaplan1
- Danielle Navarro1
- Eindhoven University of Technology1
- G. Jay Kerns1
- Galaxy Project1
- Jacques van Helden1
- Johns Hopkins University1
- Matthew B. Jané1
- ModernDive1
- Mojtaba Barzegari1
- Monash Data Fluency1
- Måns Thulin1
- NBIS - National Bioinformatics Infrastructure Sweden1
- Neuromatch Academy1
- OpenIntro1
- PAIR code1
- Pablo Casas1
- Pachter Lab1
- Paul Roback1
- RStudio Education1
- Stephanie Hicks1
- Stephen Turner1
- Surgical Informatics1
- Sébastien Wieckowski1
- Teaching materials at the Harvard Chan Bioinformatics Core1
- UC Davis Bioinformatics Core Training Page1
- University of Connecticut1
- Youngstown State University1
- bougioukas1
- cambiotraining1
- fast.ai1
- posit-conf-20231
- second scight1
- Show N_FILTERS more
-
- Show archived materials
