MATH 642: Data Science Fundamentals and at Queens College
4 credits · Spring 2027
Data Science Fundamentals and (MATH 642) at Queens College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.
The professor is: Elliot Gangaram / Bryan Nevarez.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prereq: A course in linear algebra, and course in probability, and a course in programming (CSCI 111 or the equivalent)
About this course
Not open to students who are taking or who have received credit for MATH 342W. Recommended corequisites include ECON 382, 387, MATH 341, MATH 343 or their equivalents. Philosophy of modeling with data. Prediction via linear models and machine learning including support vector machines and random forests. Probability estimation and asymmetric costs. Underfitting vs. overfitting and model validation. Formal instruction of data manipulation, visualization and statistical computing in a modern language. Prereq: A course in linear algebra, a course in probability, and a course in programming (CSCI 111 or the equivalent).
Professors for MATH 642 at Queens, Spring 2027
- Elliot Gangaram / Bryan NevarezNo ratings found
1 section · 1 open
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MATH 642 sections, times and seats
Seat status as of Oct 5, 1:18 AM ET. Seats can change between refreshes. How fresh is this?
Questions about MATH 642 at Queens
- Who teaches MATH 642 at Queens in Spring 2027?
- Elliot Gangaram / Bryan Nevarez is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MATH 642 at Queens hard?
- We do not have enough Rate My Professors ratings for the professors teaching MATH 642 yet to say. The Chill Rank appears once a professor has at least 3 ratings.
- What if a MATH 642 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.