course_guide

Syllabus

Course Objectives

  1. Integrate previously learned material in a novel application area of data science.
  2. Complete a significant project using data science methods and principles.
  3. Present results of your project in a professional forum or to a business client.
  4. Document your data science journey and skills through a blog.
  5. Leverage modern data science tools to share your work (e.g. GitHub)

During Class

Hours and Deliverables Table

Grade Hours Deliverables
A 126 Regular attendance, at least four posts, a final presentation, and an amazing project
B 90 Regular attendance, at least three posts, final project presentation, a completed project of good quality
C 60 Regular attendance, at least two posts, no presentation, a completed project of standard quality
D 40 Sparse attendance, no blog, no presentation, some work on the project
F < 40 Very sparse attendance, Breathe