Training materials
Keywords: Data science
and Authors: Queen Mary University of London, School of Business and Management
and Include disabled: true
1 material found
- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Python1
- Python program1
- Python script1
- py1
- Show N_FILTERS more
-
-
-
Content provider
- Elixir TeSS1
- Show N_FILTERS more
-
-
-
Keyword
- Data science
- Python1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Author
- Queen Mary University of London, School of Business and Management
- SIB Swiss Institute of Bioinformatics2
- @UTAustin1
- @posit-dev1
- @posit-pbc1
- @rstudio @UBC-DSCI @UBC-MDS1
- AstraZeneca1
- Daniel Chen1
- Data Carpentry1
- Data Science in Practice1
- Emil Hvitfeldt1
- Girls Who Code at U-M DCMB1
- Google1
- Hacking for Science1
- Icahn School of Medicine at Mount Sinai1
- Insee1
- Jake Vanderplas1
- Jose A Dianes1
- Kyran Dale1
- Lino Galiana1
- Max Planck Institute for Astronomy1
- Michael Pyrcz1
- Scott Reed1
- Sergio MartÃnez Cuesta1
- Shawn Rhoads1
- The Carpentries Incubator1
- UC Berkeley Data 1001
- UC Berkeley Data 81
- Valentin Danchev1
- Wes McKinney1
- http://mosaic-tx.com1
- rnorm1
- Show N_FILTERS more
-
- Show materials from all spaces
- Hide disabled materials
- Show materials with broken links
- Show archived materials
