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ACCT 385

Data Analytics for Accountants · 3 credits · Spring 2027

Requirements

Co-req.: ACCT 202

About this course

The course utilizes various data-analytic tools and software used by accountants to transform, extract, load, evaluate, analyze, and synthesize large data sets. The emphasis is on hands-on learning by completing projects in the classroom and for homework to develop the data-analytic skills valued by employers.

Seat status as of Oct 2, 8:21 PM ET. Seats can change between refreshes.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

001-LEC Regular
Mon/Wed · 3:10 PM - 4:25 PM
Powdermker 212
Steven SolieriChill Rank 4 of 5: Busy?★ 2.8(64)Difficulty 3.8/5 · 44% would take again#2 chillest of 2 for this course
Hybrid SynchronousOpen
002-LEC Regular
Tue · 6:30 PM - 9:20 PM
Online-Synchronous
Steven SolieriChill Rank 4 of 5: Busy?★ 2.8(64)Difficulty 3.8/5 · 44% would take again#2 chillest of 2 for this course
Online SynchronousOpen
003-LEC Regular
Mon/Wed · 9:15 AM - 10:30 AM
Powdermker 206
Jangwon SuhChill Rank 3 of 5: Fair?★ 3.6(16)Difficulty 3.3/5 · 63% would take again#1 chillest of 2 for this course
In PersonOpen
Queens College ACCT 385 - Spring 2027 sections & professors | ChillSemester