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Institute for Data Science and Big Data

, Location Pending

Updated 10/18/19

January 2 - January 11, 2020

Institute for Data Science and Big Data

This Institute covers the essential basis for doing data science as practiced in the 21st century. Data scientists are expected to know how to obtain relevant data for a specific problem, clean and explore data, create models using data, state inferences, make reliable predictions, and communicate findings to multiple, possibly non-technical, audiences. We will cover each of these steps in 10 intense working days.

The course consists of a dynamic mixture of theoretical lectures, guest speakers, and group assignments. The guest lectures include data science leaders from Washington’s unparalleled mixture of government, academia, and business. Statistical topics include: exploratory methods, graphics, regression, machine learning, ensembles, clustering analysis, and Bayesian approaches. Specific technical skills including: R, Python, Pandas, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, GitHub, and more.

Course Information
Instructor: Ryan Moore, Associate Professor, Department of Government

Course schedule: 9 am to 5 pm, Monday through Saturday

AU students should see their academic adviser for information on enrolling in the institute. There are also a limited number of seats available to non-AU students to participate in the institute. Professionals can apply by submitting a resume and letter of interest to

Participants will receive a certificate of completion.
View the course syllabus.


Meetings. Workshops. Trainings. Info Sessions
School of Public Affairs
Eileen LeFurgy


Additional Info:
Event Website:

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