AT&T Data Science Scholars Program
  • Type Learning
  • Level Foundational
  • Time Weeks
Additional Details

AT&T Data Science Scholars Program

Issued by SMU

Badge earners have learned how to use appropriate tools to apply to various aspects of data science, including Azure, Databricks, H2O, Neural Network, ML Flow and Python. They can demonstrate skills in the data science pipeline; ingestion, cleaning, wrangling, visualization, modeling, deployment, communication and interpretation. They are able to use data sets from a variety of industries and are able to analyze information and present trends, relationships and patterns.

  • Type Learning
  • Level Foundational
  • Time Weeks
Additional Details

Skills

Earning Criteria

  • Complete modules, including lectures and hands-on projects.
  • Present two final group projects demonstrating understanding of tools, technologies and outcomes.
  • Complete an 8-week internship with AT&T and work on projects and present an individual project to the company and faculty.
  • Pass all assignments and project exams.
  • Participants who successfully complete the AT&T Data Science Scholars program will earn a lifetime credential through SMU Continuing and Professional Education (CAPE).