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GTECH 38520: Data Analysis & Visualization at Hunter College

3 credits · Spring 2027

Data Analysis & Visualization (GTECH 38520) at Hunter College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.

The professor is: Geoffrey Fouad / Allan Frei.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Prerequisite: STAT 11300

About this course

This course will introduce students to the use of R programming for univariate and multivariate analysis and visualization, mapping and spatial analysis. By the end of the course students will be able to identify and describe basic computer language programming concepts including syntax, data types, variables, operators, loops, and functions; use RStudio or another IDE for R to develop, test, and execute R script; operationalize these concepts to perform basic statistical, mapping, spatial analyses and data management tasks using R; and apply basic statistics and visual analytics enabled through R to examine and analyze real world geographic issues.

Professors for GTECH 38520 at Hunter, Spring 2027

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

GTECH 38520 sections, times and seats

Seat status as of Oct 4, 10:54 PM ET. Seats can change between refreshes. How fresh is this?

01-LEC Regular
Arranged · TBA
Online-Asynchronous
Geoffrey Fouad / Allan FreiNo Rate My Professors rating found
Online AsynchronousOpen

Questions about GTECH 38520 at Hunter

Who teaches GTECH 38520 at Hunter in Spring 2027?
Geoffrey Fouad / Allan Frei is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is GTECH 38520 at Hunter hard?
We do not have enough Rate My Professors ratings for the professors teaching GTECH 38520 yet to say. The Chill Rank appears once a professor has at least 3 ratings.
What if a GTECH 38520 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.