Announcements + Events

Announcements
August 7, 2020

We invite Duke students to apply for the +DS fall semester virtual research program.

August 7, 2020

“AI for Everyone” will be offered in fall semester 2020 in an online format. The goal of this course is to provide an applied introduction to current techniques in machine learning and how they can be used to make sense of large amounts of data, while allowing students to focus on how machine learning is impacting their discipline of study. Registration is currently open to both undergraduates and graduate students.

Course numbers: EGR 190.06 (undergraduate students) / EGR 590.06 (graduate students)

The class will be delivered in several complementary ways:

July 13, 2020

With over 400 registered participants, the Duke + Data Science initiative (+DS) launched a new series on June 30 about using data science to study COVID-19. The first lecture introduced several key concepts in data science.

“The main goal of our class was to provide a gentle introduction to a few key data science and R programming concepts, including exploratory data analysis, making informative plots, and generating reproducible data output files”, said Matthew Hirschey, one of the course instructors.

June 17, 2020

Please join us for an 8-week series on data science methods with direct applications to the COVID-19 pandemic. Learn from Duke experts about the state-of-the-art in these 1-hour virtual sessions.

Several sessions will be paired with ethics discussions, co-hosted with Duke Science & Society Coronavirus Conversations. These sessions will discuss the ethical and policy implications of the novel use of data science to address the pandemic.

May 13, 2020

Quentin Ruiz-Esparza, Learning Innovation

The +DS Coursera course, “Introduction to Machine Learning,” has experienced a recent surge in enrollments. While the course typically has between 500 and 700 new enrollments monthly, over 6,000 learners have enrolled in the course in just the past two months.

Events
April 15, 2021 - 5:00 pm to 6:30 pm
Virtual
April 16, 2021 - 10:00 am to 11:30 am
Virtual
April 16, 2021 - 2:00 pm to 4:00 pm
Virtual
April 16, 2021 - 3:30 pm to 4:30 pm
Virtual
April 21, 2021 - 12:00 pm to 1:00 pm
Virtual