Sales Trends and Analytics

Code: MKT8190

Course description

Predictive analytics have enabled businesses to use data to analyze trends and forecast sales, and ultimately, business growth. In this course, students will learn to collect and analyze data to predict short- and long-term sales performance. Students will apply quantitative methods and analytic technologies to generate dependable forecasts for use in business development.

Course details

Hours: 42
Credits: 3
Prerequisites: TECH8000
Corequisites: None

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This course is part of the following program(s):


This course is part of the following micro-credential(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Delivery Options

Classroom Delivery: In-person instruction that takes place at a college campus.
Online Delivery: Content is delivered entirely online through self-directed components, allowing you the flexibility to learn anytime from wherever you are.
Remote Delivery: Technology-enabled virtual instruction that takes place outside of a physical classroom. Remote delivery includes some form of scheduled real-time virtual classes or drop-in times, as well as self-directed components.
Hybrid Delivery: Instruction that includes a combination of online or remote delivery, and some classroom activities.

Registration dates

Not all courses are offered each term.

Winter 2022 registration opens November 1, 2021. Spring 2022 registration opens February 7, 2022.