Stanford Root

Schedule

Stanford Root

Schedule

DATASCI 190

The Data Science Experience

UNITS:1
GRADING:Letter (ABCD/NP)
LEVEL:Undergrad
GER:WIM

This course is intended for juniors and seniors in the Data Science/MCS major and it offers students an opportunity to engage with the campus data science community in its various activities of research, support of data driven decision making, education and communication. By taking part in these, students revisit what they learned through their college career and mature a personal understanding of data science. The course is equivalent to one unit of academic work done throughout the year. It involves attending and actively engaging with events (e.g. round tables, alumni panels, workshops, and technical seminars), participating in data science consultations, and reflecting on the undergraduate experience through meeting with a mentor and developing a portfolio. Workshops, seminars, and data science consultations are chosen among a variety of options to reflect the students' interests. Participation is tracked through a Canvas site throughout one academic year. Students enroll for 1 unit during the Spring semester, when they are also required to attend class meetings. This course satisfies the Capstone Requirement of the Bachelor of Science in Data Science if taken after or concurrently with DATASCI120 "Data Narratives."

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 7590
0 / 24 enrolled
DAYS:Wednesday
TIME:4:30 PM – 5:20 PM
LOCATION:TBD
1unit

DATASCI 190: The Data Science Experience

1 units · Letter (ABCD/NP) · GER: WIM

This course is intended for juniors and seniors in the Data Science/MCS major and it offers students an opportunity to engage with the campus data science community in its various activities of research, support of data driven decision making, education and communication. By taking part in these, students revisit what they learned through their college career and mature a personal understanding of data science. The course is equivalent to one unit of academic work done throughout the year. It involves attending and actively engaging with events (e.g. round tables, alumni panels, workshops, and technical seminars), participating in data science consultations, and reflecting on the undergraduate experience through meeting with a mentor and developing a portfolio. Workshops, seminars, and data science consultations are chosen among a variety of options to reflect the students' interests. Participation is tracked through a Canvas site throughout one academic year. Students enroll for 1 unit during the Spring semester, when they are also required to attend class meetings. This course satisfies the Capstone Requirement of the Bachelor of Science in Data Science if taken after or concurrently with DATASCI120 "Data Narratives."

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Lecture — Wednesday 4:30 PM – 5:20 PM (Undergrad)

More DATASCI courses

  • DATASCI 112: Principles of Data Science
  • DATASCI 120: Data Narratives
  • DATASCI 154: Data Science for Social Impact (COMM 140X, EARTHSYS 153, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)
  • DATASCI 156: Thinking and Making with Data (ENGLISH 156A)
  • DATASCI 161: Causality, Decision Making and Data Science (CS 171, ECON 115)
  • DATASCI 192A: Data Science Practicum I
  • DATASCI 192B: Data Science Practicum II
  • DATASCI 193: Applied Artistic and Cultural Analysis
  • DATASCI 194B: Data Science for Computational Molecular Biology (DATASCI 294B)
  • DATASCI 194C: Driving Innovation: Benchmarks, Competitions, and Challenge Problems in Machine Learning and Beyond (DATASCI 294C)
  • DATASCI 194L: Data Science and the Science of Learning (DATASCI 294L, EDUC 139, PSYCH 139)
  • DATASCI 194N: Data Science for Neuroscience (DATASCI 294N, PSYCH 294N)

All DATASCI courses · All departments