Data-X: Data, AI, and Information Technology & Systems

Ikhlaq Sidhu, UC Berkeley
Arash Nourian, UC Berkeley

Data-X is a framework designed at UC Berkeley for learning and applying AI, data science, and emerging technologies. Data-X fills a gap between theory and practice to empower data and AI projects. Data-X projects create new ventures, new research, and corporate innovations all over the world.

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 Unlike Other Courses:
Bring your own ideas into an integrative project that can help students pursue new opportunities ranging from starting a new venture to interviewing for industry positions.

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Curriculum at Berkeley

At UC Berkeley, Data-X is offered as a 3 unit class called Applied Data Science with Venture Applications.

Applied Data Science with Venture Applications
Spring 2019 course information:

  • Undergrad: INDENG 135
  • Grad Section: INDENG 290
  • Location: See https://classes.berkeley.edu/
  • Prerequisite: Students should have a working knowledge of Python, have completed a fundamental probability / statistics course, as well as have a basic understanding Linear Algebra.

While the course offers instruction on tools and methods in data science, the Data-X project includes new open-ended problems with industry, social, and venture perspectives on utilizing data for rapid impact. Click here to see examples of projects completed earlier semesters.

Data-X Breadth: Trends & Industry Updates