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Your Field +DataScience

+DataScience (+DS) is a Duke-wide program, operating in partnership with departments, schools, and institutes to enable faculty, students, and staff to employ data science at a level tailored to their needs, level of expertise, and interests.

Learn +DS Online and In-Person

+DS provides training modules and learning experiences grounded in generalizable data science content, while partnering with individual units or groups to develop additional specialized content.

Online Learning

The online +DS modules introduce Data Science concepts. They are comprised of summer school video lectures and Coursera at Duke modules. The online content may be viewed in the context of self-learning, but the principal objective of the online +DS modules as previewing prior to in-person learning experiences. In particular, select and specified online +DS modules serve as pre-requisites for in-person learning experiences. 

Coursera at Duke modules

  • Module 1: Simple Introduction to Machine Learning
  • Module 2: Basics Of Model Learning
  • Module 3: Image Analysis with Convolutional Neural Networks
  • Module 4: Recurrent Neural Networks for Natural Language Processing
  • Module 5: The Transformer Network for Natural Language Processing
  • Module 6: Introduction to Reinforcement Learning
In-Person and Virtual Learning Experiences

Once you have reviewed the online content, +DS offers in-person and virtual opportunities to dive deeper into the information introduced in the online modules. These learning experiences will be developed to target diverse units at Duke: from those that desire a broad understanding of what is possible with data science, and those who wish to use data-science tools (software) without a need for deep understanding of underlying methodology, to those who desire a rigorous technical proficiency of the details and methodology of data science.

+DS will begin its fall programming in September 2021. Please email if you would like to be added to our announcements listserv.

Tuesday, November 2 - 4:00pm to 5:00pm
Instructor: Fabricio Lopes Sanchez
Thursday, November 18 - 11:00am to 12:00pm
Instructor: Mauricio Álvarez
Friday, November 19 - 12:00pm to 1:00pm
Instructor: Helge Rhodin