BDA 764: Res. Proj In Large-Scale Data at College of Staten Island
3 credits · Spring 2027
Res. Proj In Large-Scale Data (BDA 764) at College of Staten Island has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.
The professor is: Jonathan Peters.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Pre-Requisite: BDA 763
About this course
Students will develop a significant research project that will examine a large-scale data source and use analytical methods to address different research issues. Utilizing the computational resources of the CUNY High Performance Computing Center, students can develop a research project that is based on new and existing large-scale data sources. Projects will be focused on student's field of specialization and may focus in areas of marketing, finance, economics, data security and other disciplines.
Professors for BDA 764 at College of Staten Island, Spring 2027
- Jonathan PetersChill Rank 3 of 5: Fair?
1 section · 1 open · ★ 4.1 (38) · difficulty 3.2/5 · 65% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
BDA 764 sections, times and seats
Seat status as of Oct 5, 12:21 AM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about BDA 764 at College of Staten Island
- Who teaches BDA 764 at College of Staten Island in Spring 2027?
- Jonathan Peters is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is BDA 764 at College of Staten Island hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.2 out of 5. The Chill Rank above compares them directly.
- What if a BDA 764 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.