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CIS 9650

Programming for Analytics · 3 credits · Fall 2026

About this course

The main objective of the course is to introduce the basic principles of programming for data analytics. The course will use a currently popular programming language that is used to support data analytics. Students will learn how to program in order to access, wrangle, and explore data as well as how to use programming in data analytics-focused applications such as basic visualization and text mining. Even though the course focuses on data analytic applications, the students will also be able to write non-trivial programs in other domains.

Seat status as of Sep 28, 10:49 PM ET. Seats change fast, so a class shown as open may be full by now. Watch a full class to be emailed the moment it opens.

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

ONA-LEC Seven Wk 1
Arranged · TBA
Online-Asynchronous
Nanda KumarChill Rank 3 of 5: Fair?★ 3.9(94)Difficulty 2.6/5 · 40% would take again#4 chillest of 4 for this course
Online AsynchronousOpen
UMA-LEC Regular
Mon · 6:05 PM - 9:00 PM
B - Vert 10-155
Isaac VaghefiChill Rank 3 of 5: Fair?★ 3.9(45)Difficulty 2.8/5 · 78% would take again#3 chillest of 4 for this course
Hybrid SynchronousOpen
URA-LEC Regular
Thu · 6:05 PM - 9:00 PM
B - Vert 12-145
Sonyl NagaleChill Rank 2 of 5: Easy?★ 4.8(20)Difficulty 3.1/5 · 86% would take again#2 chillest of 4 for this course
In PersonOpen
UWA-LEC Regular
Wed · 6:05 PM - 9:00 PM
B - Vert 3-125
Jason TsengChill Rank 2 of 5: Easy?★ 5.0(13)Difficulty 2.9/5 · 100% would take again#1 chillest of 4 for this course
Hybrid SynchronousClosed