Stanford Root

Schedule

Stanford Root

Schedule

STATS 260C

Workshop in Biomedical Data Science (BMDS 280C)

UNITS:1-2
GRADING:Medical Satisfactory/No Credit
LEVEL:Graduate
GER:—

Applications of data science techniques to current problems in biology, medicine and healthcare. To receive credit for one or two units, a student must attend every workshop. To receive two units, in addition to attending every workshop, the student is required to write a two page critical summary of one of the workshops, with the choice made by the student

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Workshop 1Open
ID: 6982
0 / 30 enrolled
DAYS:Thursday
TIME:1:30 PM – 2:50 PM
LOCATION:TBD
INSTRUCTOR:
Sabatti, Chiara, Palacios, Julia, Lu, Ying
units

STATS 260C: Workshop in Biomedical Data Science (BMDS 280C)

1-2 units · Medical Satisfactory/No Credit

Applications of data science techniques to current problems in biology, medicine and healthcare. To receive credit for one or two units, a student must attend every workshop. To receive two units, in addition to attending every workshop, the student is required to write a two page critical summary of one of the workshops, with the choice made by the student

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Workshop — Thursday 1:30 PM – 2:50 PM — Sabatti, Chiara, Palacios, Julia, Lu, Ying (Graduate)

More STATS courses

  • STATS 232: Machine Learning for Sequence Modeling (CS 229B)
  • STATS 242: NeuroTech Training Seminar (NSUR 239)
  • STATS 250: Mathematical Finance (MATH 238)
  • STATS 251: Causal Inference in Clinical Trials and Observational Studies (BMDS 251)
  • STATS 260A: Workshop in Biomedical Data Science (BMDS 280A)
  • STATS 260B: Workshop in Biomedical Data Science (BMDS 280B)
  • STATS 261: Intermediate Biostatistics: Analysis of Discrete Data (BMDS 241, EPI 261)
  • STATS 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis (EPI 262)
  • STATS 263: Design of Experiments (STATS 363)
  • STATS 264: Foundations of Statistical and Scientific Inference (BMDS 243, EPI 264)
  • STATS 270: Bayesian Statistics (STATS 370)
  • STATS 292: Statistical Models of Text and Language

All STATS courses · All departments