Data Mgmt. & Analytics - 19578 - ISM 3541 - ZO1 - 19578 - ISM 3541 - ZO1 |
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Associated Term: Fall 2022
Levels: Credit ecampus Campus Web Schedule Type Online Instructional Method Learning Objectives: The student, at successful completion of this course, will be able to: 1. Identify best practices in data visualization to communicate accessible and meaningful insights. 2. Utilize current software and techniques to demonstrate the ability to obtain, manipulate, and interpret data. 3. Examine data analytics concepts and applications using real world examples. 4. Analyze current and emerging topics for data mining in the collection, transformation and storage of large amounts of data using NoSQL databases. 5. Demonstrate an understanding of how to extract actionable knowledge from Big Data. 6. Demonstrate basic use of selected programming languages to manipulate large sets of data. Required Materials: Business Analytics 2nd Edition By Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara and Leida Chen Publisher: McGraw-Hill Education ISBN: 9781265902322 Copyright: 2023 Link to Bookstore: https://www.bkstr.com/scfbradentonstore/follett-discover-view/booklook?shopBy=discoverViewCourse&bookstoreId=1782&termId=202310&divisionDisplayName=&departmentDisplayName=ISM&courseDisplayName=3541§ionDisplayName=ZO1 Technical Requirements: • Basic computer skills, computer, internet access and use of SCF student e-mail required. • High speed internet connection strongly recommended. • There will be no on-campus meetings. • Class orientation, assignments and testing will be online. Instructor will provide additional directions in Canvas. • Understanding of Database Design and Administration / Programming Concepts preferred. View Catalog Entry
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