Data Science Methods
This course is designed for managers and executives who want to understand how and when powerful data science methods can be applied to drive business forward. In just over 3 hours of instruction time, you will learn the intuition, practical use cases, and pitfalls about the most commonly used data science methods. Improve communication with your data science team and drive your data strategy forward.
Course Objectives
- Identify business cases for using data science and Big Data
- Understand how to apply various powerful data science methods to business problems
- Understand the requirements and pitfalls of working with each data science method
| Prerequisites: none | View syllabus |
|---|---|
| Instruction: 3 hrs 15 min | |
| Practice: 2 – 4 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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