Applied data science
Graduate · Data science
Syllabus focus
Standard syllabus · STEM / applied
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.
Topics typically covered
Standard syllabus
- Problem framing and data contracts
- Wrangling, leakage control, and validation design
- Models used in the student's program
- Uncertainty, robustness, and limitations
- Writing methods and results for a technical audience
STEM / applied
- Code review of assignments and thesis-adjacent analysis
- Reproducible workflows
- Presentation of findings
Notes
Research-methods intensity follows the student's department.