The on-campus Master of Science in Data Science program focuses on developing knowledge and skills in interdisciplinary and collaborative data science competencies including statistical analysis, data ...

These programs help you develop data analysis, machine learning, programming and statistical modeling skills, enhancing your industry relevance to give you a competitive advantage in the job market.

The limits of statistical analysis and machine learning apply just as readily to data science work. In many cases, the problems aren’t with the mathematics or the algorithms.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Delivered through an online and flexible modality, select from different courses and pathways tailored towards your specific interest. Course topics include programming, data analysis, data ...

In addition to machine learning, expanded statistical areas include causal inference with the support of conditional average treatment effects (CATEs), panel data with high-dimensional fixed ...

Upon completion of this course, participants should be able to: ¿ Understand how big data and machine learning can complement traditional data and analytical techniques in macroeconomic analysis and ...

Machine Learning Algorithms: Advanced statistical methods, such as decision trees, random forests, and neural networks, used to predict outcomes based on input data.