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Description

Official Description

8.0 Continuing Education Units (CEUs)

Introduction to analytical methods and artificial intelligence (AI) techniques used to collect, analyze, and uncover insights for predicting business outcomes from data. Examination of diverse data storage solutions and fundamental data structures. Completing the data processing cycle, applying predictive analytics and AI-driven methods with Python, along with tools such as Alteryx, Excel, SQL, and Tableau, to analyze data, build forecasts and models, design visualizations, and communicate actionable insights.

 

Supplementary Information

20 hours of lectures and 60 hours of independent study. Course may be offered in person or online with synchronous and asynchronous activities.

The passing grade for this course and the prerequisite courses is B-.

RESTRICTION: Not open to students who have taken YCBS 261 - Data Analytics Fundamentals.

Prerequisite(s) and Corequisite(s)

 

Applies Towards the Following Programs

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