Stanford Root

Schedule

Stanford Root

Schedule

OCEANS 274H

Marine Data Science in Practice (OCEANS 174H)

UNITS:4
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Learn data science in the context of coastal ecosystems. This hands-on course teaches scientific computing and statistical analysis using datasets from Monterey Bay. Through structured modules, students collect field data from rocky intertidal zones to kelp forests, then analyze patterns using R programming. Topics include data wrangling and visualization, probability distributions, hypothesis testing, and the analysis of discrete and continuous data - all grounded in practical applications like environmental sensing, morphological scaling, and species associations. No programming or statistics background required. Gain quantitative skills applicable across biology, environmental science, and data-driven fields. A limited travel stipend may be available for students traveling to Hopkins Marine Station - located approximately OCEANS 80 miles south of Stanford's main campus in Pacific Grove, CA. For information about spending a quarter in residence at Hopkins Marine Station please see here: https://hopkinsmarinestation.stanford.edu/stanford-hopkins-residence.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 27114
0 / 20 enrolled
Meeting 1 of 2
DAYS:Monday
TIME:9:30 AM – 12:20 PM
LOCATION:AGASSIZ 12 (Hopkins)
INSTRUCTOR:
Elahi, Robin
Meeting 2 of 2
DAYS:Monday
TIME:1:30 PM – 2:20 PM
LOCATION:AGASSIZ 12 (Hopkins)
INSTRUCTOR:
Elahi, Robin
4units

OCEANS 274H: Marine Data Science in Practice (OCEANS 174H)

4 units · Letter or Credit/No Credit

Learn data science in the context of coastal ecosystems. This hands-on course teaches scientific computing and statistical analysis using datasets from Monterey Bay. Through structured modules, students collect field data from rocky intertidal zones to kelp forests, then analyze patterns using R programming. Topics include data wrangling and visualization, probability distributions, hypothesis testing, and the analysis of discrete and continuous data - all grounded in practical applications like environmental sensing, morphological scaling, and species associations. No programming or statistics background required. Gain quantitative skills applicable across biology, environmental science, and data-driven fields. A limited travel stipend may be available for students traveling to Hopkins Marine Station - located approximately 80 miles south of Stanford's main campus in Pacific Grove, CA. For information about spending a quarter in residence at Hopkins Marine Station please see here: https://hopkinsmarinestation.stanford.edu/stanford-hopkins-residence.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Lecture — Monday 9:30 AM – 12:20 PM — AGASSIZ 12 (Hopkins) — Elahi, Robin (Graduate)

More OCEANS courses

  • OCEANS 262G: Sediment Transport Physics and Modeling (CEE 262G)
  • OCEANS 262H: Marine Animal Physiology (BIO 162H, BIO 262H, OCEANS 162H)
  • OCEANS 265: Tinkering in Marine Science (OCEANS 165)
  • OCEANS 269: Environmental Microbial Genomics (ESS 259)
  • OCEANS 273H: Marine Conservation Biology (BIO 173H, BIO 273H, OCEANS 173, OCEANS 173H)
  • OCEANS 273HA: Marine Conservation Biology - Seminar Only (OCEANS 173HA)
  • OCEANS 276H: Scientific Illustration at Hopkins Marine Station (OCEANS 176H)
  • OCEANS 285H: Kelp Forest Ecology (OCEANS 185H)
  • OCEANS 286H: Underwater Methods for Kelp Forest Ecology (OCEANS 186H)
  • OCEANS 290H: Teaching Practicum in Biology
  • OCEANS 291H: Teaching of Stanford at Sea
  • OCEANS 298H: Directed Instruction or Reading (New)

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