Data Science

Jian Pei

Office hours: 2:30-3:30 pm, Tuesdays/Thursdays

Office: LSRC D112A


Qirui Cao:

Hao-Lun Hsu:

Srikar Katta:

Xiaonan Wang:

Haibo Xiu:

Dingyan Zhong:

Rui Zhang:

 TA Office hours (LSRC D215):

Monday: 15:30 - 17:00

Wednesday: 17:30 - 19:00

Friday: 13:30 - 15:00

Office hour zoom link:

Course Desription 

This course provides a general and systematic introduction to the concepts, ideas, tools, and example applications of data science. We focus on the data-driven ideas, the interactions among applications, modeling, and data processing, and the essential algorithms and tools.  By completing this course, students will learn methodology and hands-on experience on collecting and analyzing data, extracting insights from data, and transforming knowledge from data to business decisions and actions.

This offering has a programming/experiment component and a substantial independent project, making it suitable for a broad audience, particularly for students from computer science, healthcare, computer engineering, business administration, and statistics.



As a result of this course, you will be able to:

Required Text


There are many valuable references on the general subject of (methodology in) data science nowadays.  Here only a few and biased examples are listed in a random order.

Course Requirements (subject to change)

Late submission policy

Course Calendar (Dates and topics are subject to change at the discretion of the instructor)