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Course Details

Spring 2017-2018
* SML 201 (QR)   No Pass/D/Fail

Introduction to Data Science

Daisy Yan Huang

Introduction to Data Science provides a practical introduction to the burgeoning field of data science. The course introduces students to the essential tools for conducting data-driven research, including the fundamentals of programming techniques and essentials of statistics. Students learn to work with real-world datasets from various domains, such as writing computer code to manipulate, explore, and analyze data; using basic data analysis techniques from statistics and machine learning; drawing conclusions using sound statistical reasoning; and producing scientific reports. No prior knowledge in programming or statistics is required.


Sample reading list:
See instructor for complete list

Reading/Writing assignments:
There will be three data analysis and programming projects and four problem sets due over the course of the semester. There will be primary and supplementary weekly reading assigned by the instructor.

Requirements/Grading:
Design Project - 45%
Quizzes - 10%
Class/Precept Participation - 5%
Problem set(s) - 40%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
There are no official prerequisites for this course. However, it is recommended that students be comfortable with the basics of command-line computer usage and undergraduate-level mathematical notation and symbols (e.g., summation and product symbols, algebraic notation). Note: COS 126 or an equivalent course is NOT a prerequisite. Please see the course web site for further information..

Website:  http://csml.princeton.edu/undergraduates/sml-201-introduction-data-science

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43100 L01 11:00 am - 12:20 pm T Th        Enrolled:67 Limit:120
43453 L02 3:00 pm - 4:20 pm T Th        Enrolled:74 Limit:120
43652 P01 7:30 pm - 8:20 pm T        Enrolled:14 Limit:14 Closed
43653 P02 11:00 am - 11:50 am W        Enrolled:14 Limit:14 Closed
43654 P03 12:30 pm - 1:20 pm W        Enrolled:14 Limit:14 Closed
43655 P04 12:30 pm - 1:20 pm W        Enrolled:14 Limit:14 Closed
43656 P05 1:30 pm - 2:20 pm W        Enrolled:13 Limit:14
43657 P06 3:30 pm - 4:20 pm W        Enrolled:13 Limit:14
43658 P07 1:30 pm - 2:20 pm Th        Enrolled:14 Limit:14 Closed
43659 P08 7:30 pm - 8:20 pm Th        Enrolled:9 Limit:14
43660 P09 10:00 am - 10:50 am F        Enrolled:10 Limit:14
43661 P10 11:00 am - 11:50 am F        Enrolled:14 Limit:14 Closed
43662 P11 12:30 pm - 1:20 pm F        Enrolled:12 Limit:14