BUS 320: Predictive Analytics & Decisio at Borough of Manhattan Community College
4 credits · Summer 2027
Predictive Analytics & Decisio (BUS 320) at Borough of Manhattan Community College has 2 ways to take it in Summer 2027. 2 of 2 sections have an open seat right now.
The professor is: Julia Nebia.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prerequisite: MAT 209
About this course
This course is tailored towards developing students quantitative reasoning skills including data analysis, statistical thinking, and modeling business decisions using a wide range of case studies. The course will enable students explain the assumptions and interpret the model outcomes using analytical tools such as estimation, simple and multiple regression, forecasting, and optimization. They will learn to use Excel for data analysis.
Professors for BUS 320 at Borough of Manhattan CC, Summer 2027
- Julia NebiaChill Rank 3 of 5: Fair?
2 sections · 2 open · ★ 3.9 (43) · difficulty 3.3/5 · 73% 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
BUS 320 sections, times and seats
Seat status as of Oct 4, 8:21 PM 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 BUS 320 at Borough of Manhattan CC
- Who teaches BUS 320 at Borough of Manhattan CC in Summer 2027?
- Julia Nebia is listed for Summer 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is BUS 320 at Borough of Manhattan CC hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.3 out of 5. The Chill Rank above compares them directly.
- What if a BUS 320 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.