Data Science Certificate

Certificate in Data Science

This certificate program is designed for students with coursework and/or experience in basic coding, and competency in differential calculus and linear algebra. 

Prerequisites

Candidates should demonstrate these skills by transcript or interview, or plan to take these additional courses as prerequisites.

Program Learning Outcomes:

Students who complete the Undergraduate Certificate in Data Science will be able to:

1. Use mathematical theory, especially linear algebra and statistics, for innovation in data science

2. Perform the six steps of data wrangling: discovery, structuring, cleaning, enriching, validating, and publishing

3. Write code in a programming language prominent in the field of data science, such as Python or R, to clean, analyze, visualize, and create models from data

4. Select statistical models and estimate coefficients and uncertainty measures

5. Distinguish three types of learning problems: supervised learning, unsupervised learning, and reinforcement learning 

6. Select machine learning and deep learning models and implement their training algorithms

7. Implement training algorithms for machine learning and deep learning models

8. Create and present effective data visualizations