DATASCI courses at Stanford
20 DATASCI courses in Stanford’s catalog, with ratings and hours per week from real student evaluations.
- DATASCI 112: Principles of Data Science5-5 units · 5.0/5 rating · 12 hrs/wk
- DATASCI 120: Data Narratives3-3 units
- DATASCI 154: Data Science for Social Impact (COMM 140X, EARTHSYS 153, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)5-5 units
- DATASCI 156: Thinking and Making with Data5-5 units
- DATASCI 161: Causality, Decision Making and Data Science (CS 171, ECON 115)3-3 units
- DATASCI 190: The Data Science Experience1-1 units · 3.5/5 rating · 4 hrs/wk
- DATASCI 192A: Data Science Practicum I2-2 units · 4.5/5 rating · 8 hrs/wk
- DATASCI 192B: Data Science Practicum II3-3 units · 3.5/5 rating · 7 hrs/wk
- DATASCI 193: Applied Artistic and Cultural Analysis5-5 units
- DATASCI 194B: Data Science for Computational Molecular Biology (DATASCI 294B)3-3 units · 5.0/5 rating · 10 hrs/wk
- DATASCI 194C: Driving Innovation: Benchmarks, Competitions, and Challenge Problems in Machine Learning and Beyond (DATASCI 294C)3-3 units
- DATASCI 194N: Data Science for Neuroscience (DATASCI 294N, PSYCH 294N)3-3 units · 5.0/5 rating · 8 hrs/wk
- DATASCI 196: Teaching Data Science1-3 units
- DATASCI 198: Practical Training1-1 units
- DATASCI 199: Independent Study1-6 units
- DATASCI 199W: Honors Capstone Thesis3-6 units
- DATASCI 200Q: Philosophical Foundations of Statistics (STATS 200Q)4-4 units
- DATASCI 211: Accelerating Research with Marlowe: Practical GPU Computing for Scientists1-1 units · 5.0/5 rating · 3 hrs/wk
- DATASCI 294B: Data Science for Computational Molecular Biology (DATASCI 194B)3-3 units
- DATASCI 294C: Driving Innovation: Benchmarks, Competitions, and Challenge Problems in Machine Learning and Beyond (DATASCI 194C)3-3 units