Welcome to DS4Humans

This website is both the course site for the Duke Interdisciplinary Data Science Course Solving Problems with Data (IDS 701), as well as the beginning of what I hope will eventually become a stand-alone textbook by Nick Eubank.

If you aren’t a Duke IDS 701 student and wish to explore the content of the course, I’d suggest starting with the Introduction chapter here. You’re also welcome to browse the class schedule of topics covered in the class in the class schedule link, or hop down to the readings in Data Science in Practice towards the bottom of the left-hand navigation menu for a few stand-alone readings on various professionalization topics, like Writing to Stakeholders or Providing Feedback.

If you are a Duke student, here’s are links to some course materials:

Non-MIDS Students Interested in IDS 701

If you are not a Masters of Interdisciplinary Data Science (MIDS) student and are interested in 701, you should be aware that this class assumes:

• Comfort with Python and the Python Data Science stack (numpy, pandas, jupyter, matplotlib, etc.),

• Prior coursework in statistical inference and linear regression, and

• A prior or concurrent class in machine learning.

If you feel you meet all three requirements, please email me with the details of your background.

Course Schedule

You can find the course schedule here. Note that our schedule is subject to change, but this should give you a good sense of the material we will cover.

Syllabus

To learn more about the course, please read the course syllabus here..