Accelerated Certificate Program Data Science

Data Science is continually ranked as one of the most in-demand professions. The need for professionals who can manage and leverage insights from data is clearer than ever before. The curriculum taught in this program is designed to meet the expanding multi-disciplinary needs for data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects. Topics covered include data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python programming, and machine learning.

UC Irvine’s 3-month post-graduate level Accelerated Certificate Program (ACP) in Data Science covers a wide array of topics in data science including data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python, and machine learning.

Benefits

• Utilize technical techniques to deliver insight and business intelligence
• Apply mathematical concepts including probability, inference, and modeling to practical data project application
• Describe and use industry-standard tools and technologies required to model and analyze big datasets
• Utilize the data modeling approach to make optimal business decision
• Implement machine learning algorithms
• Apply text analytics tools to unstructured and structured data sets
• Develop and implement a data warehouse plan
• Gain a competitive edge in the global job market through an internship in a U.S. company

Who Should Attend

This program is intended for professionals in a variety of industries and job functions who are looking to help their organization understand and leverage the massive amounts of diverse data they collect. Others who would benefit from this program include: data engineers, data analysts, computer scientists, business analysts, database administrators, researchers, and statisticians.