Build on computer programming or engineering education and experience
Data is changing the way our society makes decisions. Data scientists design and develop solutions that help solve complex problems posed by the three Vs of data: volume, variety and velocity.
Students in the Data Science Certificate program learn the fundamentals of how to store, manage, analyze, search and model data.
Who should register
Working professionals with experience in the field of data analysis as well as young professionals seeking a career in data science who have:
Experience with programming (must) and data analysis (optional)
College-level basics of statistics, probability theory, linear algebra, calculus (Note: Although we will not thoroughly teach them again, we will review them when they are used)
In this program with three modules, one per quarter, we examine concepts, elements, strategies, and skills covering the general discipline of data science. The instruction is based on practical examples of data science applications in a variety of areas within the industry as well as in academic research.
Building on theoretical foundations from lectures, exercises, discussions and quizzes, students gain hands-on experience through workshops/tutorials with related independent assignments. The series culminates in milestone projects that demonstrate comprehensive data science skills.
Contact email@example.com to be put in touch with an advisor for review.
Juhua Hu, Ph.D., Assistant Professor of Computer Science & Systems
Juhua Hu is the director of Center for Data Science at the University of Washington Tacoma. Before joining UW Tacoma, Juhua worked as a Machine Learning Engineer for a silicon valley startup EverAI (now Paravision). Juhua's primary research interest is in the areas of machine learning, data mining, and data science. She is especially interested in deep representation learning, deep model interpretation and compression, time series analysis, and explainable and fair ML, where the applications span over Computer Vision, Networking, Cybersecurity, Healthcare, Human Computer Interaction, and Smart City.