Data Science Practicum

COM SCI 800.003

This project-based Data Science Practicum provides students with the opportunity to gain real-world experience working with our industry partners. Each practicum cohort is sponsored by a company or organization.

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What you can learn.

  • Gain real-world experience by working with our industry partners on data science projects
  • Gain analytics experience and reconcile mathematical theory with business practice
  • Use data science to identify, define, and analyze business problems

About this course:

This project-based Data Science Practicum provides students with the opportunity to gain real-world experience working with our industry partners. Each practicum cohort is sponsored by a company or organization. This collaboration allows students to work with partner companies/organizations to gain analytics experience and reconcile mathematical theory with business practice. Students are supervised by a UCLA Extension practicum instructor and work with the practicum company/organization to identify, define, scope, and analyze a business problem. Students work in groups to solve real-world data analysis problems and communicate their results. Innovation and clarity of presentation will be key elements of evaluation. It is assumed that students participating in this practicum have a thorough knowledge of basic machine learning concepts (classification, clustering, regression, dimensionality reduction, etc.) and are proficient in R or Python. Students work on a real-world data science project from Day 1 of this Data Science Practicum. Very little time is spent on lectures or introducing new machine learning concepts or explaining basic constructs of programming languages. 
Prerequisites
For students without previous experience in data science, we recommend completing our Data Science certificate. The Data Science certificate can be completed in as little as 10 weeks in our 10-Week Intensive Data Science program. Click here for more information. 

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