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Data Science in Business
This course is designed for managers and executives who want to understand how data analytics can be used to drive business forward. In 1 hour of instructional time, you will learn how other companies have used data analysis to drive their business forward, reduce costs, and target new markets.
Course Objectives
- Identify business cases for using data science and Big Data
- Understand how predictive analytics and machine learning can be used by businesses to drive commercial outcomes
- Understand the pitfalls of working with different types of data, including Big Data
| Prerequisites: none | View syllabus |
|---|---|
| Instruction: 1 hour | |
| Practice: 1 – 3 hrs |
Richard Heimann
Richard Heimann is the Chief Data Scientist at Cybraics, Inc. He is part of the adjunct Faculty at University of Maryland, Baltimore County and an Instructor of Human Terrain Analysis at George Mason University. Rich serves on the Selection Committee for the AAAS Big Data & Analytics Fellowships Program. He has deep expertise running data science teams and is the co-author of “Social Media Mining with R.”
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