Data Science
Collect the data to improve your credentials in the Data Science microcredential where you will learn the distinct phases of data science from both technical and business aspects. First, you’ll learn the concept of data mining and the methods of knowing, preprocessing, processing and warehousing data. Then, by examining ethical considerations, you’ll assess collection, storage, use and analysis of data. This microcredential is intended for working professionals who want to incorporate data science into their employment field.
Required
Prefix | Course Name | Credits |
---|---|---|
DATA 315 | Data Mining and Machine Learning | 3 |
DATA 415 | Ethics for Data Science | 3 |
What You'll Learn
- Understand techniques for data processing
- Use basic concepts and methods for classification, including decision tree induction
- Develop methods for data clustering
- Discuss trends, applications and research frontiers in data mining
- Explain data ownership and data privacy elements
- Explore informed consent and responsible data collection
- Explain data validity
Eligibility
- Current students
- Outside professionals
Delivery
- Online
- Classroom
- Hybrid
- Flex
Time to Complete
- Months
This program qualifies for the new Part-Time TAP for Non-Degree Programs. Learn more about eligibility.
Questions? Contact Us