Contact
For questions, please email dsi@american.edu.听
January 3 - 12, 2024 | Hybrid Event
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 seven intense working days.
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The course consists of a dynamic mixture of theoretical lectures, guest speakers, and group assignments. The guest lectures include data science leaders from Washington鈥檚 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.
Instructor: Ryan Moore, Associate Professor, Department of Government
Course schedule: January 3 - 12, 2024;聽9 am to 5 pm聽every day
Course number:听厂笔础-020/厂笔础-420/厂笔础-620
Participants will receive a certificate of completion.听聽
麻豆视频作品students can register for the Data Science Institute as a regular course. Talk with your adviser about registering for . This course awards 4 credit hours, and is part of the academic Spring semester.
All visiting students (new to AU), enrolled for credit or not-for-credit register for the class through 麻豆视频作品Central. The non-credit course option is SPA-020. A visiting student fills out the course registration form and submits the form directly to 麻豆视频作品Central.听Tuition payment is due聽during registration. Instructions to register will be sent upon acceptance of your application.
The Institute is not open to registration through the Consortium of DC area schools. Interested students from local area schools can register for the class as a visiting student through 麻豆视频作品Central. If taking the class for course credit, they would have to make arrangements to transfer the course credit back to their home school.
The prerequisite is a basic statistics 101 class or equivalent knowledge. Some previous knowledge of R is useful but not required.
We will use R and Python at a fairly basic level for the most part, with some advanced usage carefully explained as if participants have not seen it before.
Yes, there will be a hands-on group project with real data.
Decisions are made on a rolling basis, and are currently being accepted. Non-麻豆视频作品students have the same preference as 麻豆视频作品students.
For questions, please email dsi@american.edu.听
Review the course syllabus from January 2023聽by instructor Ryan Moore.