Call Number | 14653 |
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Day & Time Location |
T 2:20pm-5:35pm 420 GEFFEN HALL |
Points | 1.5 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Hongseok Namkoong |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. Modern data collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable data like text and images – are leading an explosive growth in the volume of data available for decision making. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. Many startups are based on the application of AI & analytics to large databases. With the increasing availability of broad and deep sources of information – so-called “Big Data” – business analytics are becoming an even more critical capability for enterprises of all types and all sizes. AI is beginning to impact every dimension of business and society. In many industries, you will need to be literate in AI to be a successful business leader. The Business Analytics sequence is designed to prepare you to play an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodology, studying its foundations, potential applications, and – perhaps most importantly – limitations. |
Web Site | Vergil |
Department | Decision, Risk and Operations |
Enrollment | 43 students (74 max) as of 5:08PM Saturday, September 7, 2024 |
Subject | Decision, Risk & Operations Management |
Number | B8103 |
Section | 003 |
Division | School of Business |
Open To | Business, Engineering:Graduate, Journalism |
Section key | 20241DROM8103B003 |