The bulk of the course grade will be a group project that will be due in December (exact date TBD). Students will be expected to work on the project during the second half of the class and will be required to present their progress throughout the course of the semester. Grades will be assigned on the basis of overall project quality, demonstration of core principles taught in the class, and individual contributions to the group's effort. More details on the project will discussed in the second week of class.
Assignments and Exams
Assigments. This class includes short, frequent assignments to check comprehension. All assignments and quizzes will be graded on a 5-point scale. All quizzes will be announced in advance of class.
No late assignments accepted. Assignments not turned in by the set deadline will be scored as 0/5. Exceptions will be granted only as mandated by CUNY policy.
Worst two assignments dropped, includes missed assignments.
Exam. A short midterm exam will be held in October and will focus on broad concepts the course has surveyed thus far. The format will mimic the style of questions frequently asked in interviews for data-related roles.
Texts and Materials
Required Text: Data Science from Scratch, Joel Grus. 2nd Edition, April 2015 (O'Reilly). Available online.
Additional required readings and videos will be made available to students in advance of each week's assignments. All will be availble online at no cost.
In addition to the required materials, students may find the following resources helpful in supplementing course materials:
Recommended Text: Python for Data Analysis, Wes McKinney. 2nd Edition, October 2017 (O'Reilly). Available online.
Recommended Text: Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani and Jerome Friedman. 2nd Edition, 2009 (Springer). Available free online here.
Academic dishonesty is prohibited in The City University of New York. Penalties for academic dishonesty include academic sanctions, such as failing or otherwise reduced grades, and/or disciplinary sanctions, including suspension or expulsion.