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BUS 282 W — Leading Data-Driven Organizations

Quarter: Fall
Course Format: Flex Online (About Formats)
Duration: 5 weeks
Date(s): Oct 3—Nov 4
Refund Deadline: Oct 6
Unit: 1
Tuition: $550
Instructor(s): Isaac Faber
Limit: 30
Class Recording Available: Yes
Status: Registration opens Aug 22, 8:30 am (PT)
DOWNLOAD THE SYLLABUS » (subject to change)
Flex Online(About Formats)
Oct 3—Nov 4
5 weeks
Refund Date
Oct 6
1 Unit
Isaac Faber
Registration opens Aug 22, 8:30 am (PT)
DOWNLOAD THE SYLLABUS » (subject to change)
In recent years, the business case for leveraging the value of data has become increasingly obvious. Quality data management is key to achieving business goals such as financial performance, operational performance, legal and regulatory compliance, and customer experience. This course will teach business leaders and decision-makers how to thrive by creating and maintaining a data-driven environment.

From simple data analytics to artificial intelligence, leading an organization utilizing data is challenging. With the recent explosion in the availability of tools, training, and approaches, there are many options and factors to consider. This course will begin with a discussion of the principles and basic components of a data-driven environment. We will then cover such topics as calculating the value of data, data collection strategies (cloud and on-premise), data engineering, data workforce development, machine learning project selection, and implementation and deployment. With a view toward educating leaders, lectures and assignments will focus on practical applications, including AI-enabled product development, designing a data management ecosystem, and automating organization performance metrics such as OKRs (objectives and key results), KPPs (key performance parameters), and others. By the end of the course, students will understand the architectural requirements for creating production-quality data products and services, and they will be able to build and deploy a simple end-to-end data-focused project.

Students should have knowledge of basic math and exposure to basic computer programming concepts.

Director of AI Development, United States Army AI Center

Isaac Faber develops and deploys data-focused solutions within the US government and the private sector. He is the lead architect and project manager for the Army’s next-generation artificial intelligence and data science development platform. Faber received a PhD in decision and risk analysis from Stanford.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.