GRADTDA 5621
BigDataComputing1
3 cr
Professionals must be able to locate, scrape, ingest and clean data sources to produce useful information for exploration and visualization to address work-related challenges. Course focus is on programming in Javascript and Python and tools like Hadoop and Scala. This two-semester sequence is to be taken in parallel with a two-semester sequence on fundamental statistical data analytic methods. Prereq: Enrollment in the Translational Data Analytics program.
Grade history
86 students across 3 instructors · course avg 3.92
43 students · 2 terms
43 students total · 2 terms · click to see per-term
26 students · 1 term
26 students total · 1 term · click to see per-term
17 students · 1 term
17 students total · 1 term · click to see per-term
Source: historical OSU grade releases via thegradeguide.com (Adam Gluck), Spring 2016 – Summer 2023. FERPA-filtered: sections under 10 students excluded.
Sections
1
Instructors
1
Enrolled
0 / 40
Open
1
Instructors
Sections in Autumn 2026
| # | Sec | Instructor | Hist. GPA | Days/Time | Room | Enrollment |
|---|---|---|---|---|---|---|
| 1201 | 0010 | Brad Coy | — | W 6:00 pm-7:00 pm | ONLINE | Open · 0/40 |