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Viewing: DNSC 6201 : Introduction to Business Analytics

Last approved: Fri, 15 Apr 2016 09:17:04 GMT

Last edit: Mon, 28 Mar 2016 15:03:00 GMT

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In The Catalog Prerequisites:

DNSC 6403 : Visualization for Analytics
School of Business
Decision Sciences (DNSC)
Introduction to Business Analytics
Intro to Business Analytics
Fall 2016
Course Type
Default Grading Method
Letter Grade



Suneel Grover
Frequency of Offering

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Fee Type


An introduction to business analytic concepts, methods, and tools with concrete examples from industry applications; Big Data and the opportunities it has created for businesses to store, organize, and analyze vast amounts of information. Completion of a basic course in statistics prior to enrollment is recommended.
At the end of this course, students will be able to: 1. Understand business analytics is a key competency essential for business success 2. Understand the business analytics process 3. Understand how analysts can organize, enhance and derive value from their business data, including the following areas: Managing data 1. Data access 2. Data cleansing 3. Data preparation Applying techniques for converting raw data to business information o Interactive data exploration 1. Visualization 2. Summarization & reporting Analyzing and modeling data 1. Introductory predictive analytics 2. Model interpretation & diagnostics

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This edit is only to add a course description under the courses listed under the Department of Decision Sciences.
Key: 2305