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Course Evaluation Results

Course Details

Fall 2018-2019
* 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 - 50%
Quizzes - 5%
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
22586 L01 11:00:00 am - 12:20:00 pm T Th   Lewis Library   138   Enrolled:26 Limit:65
22587 L02 03:00:00 pm - 04:20:00 pm T Th   Lewis Library   120   Enrolled:37 Limit:80
22588 P01 07:30:00 pm - 08:20:00 pm T   Bendheim Center For Finance   103   Enrolled:12 Limit:12 Closed
22589 P02 11:00:00 am - 11:50:00 am W   Bendheim Center For Finance   103   Enrolled:11 Limit:14
22590 P03 12:30:00 pm - 01:20:00 pm W   Bendheim Center For Finance   103   Enrolled:13 Limit:14
22591 P04 12:30:00 pm - 01:20:00 pm W        Enrolled:0 Limit:0 Canceled
22592 P05 01:30:00 pm - 02:20:00 pm W   Bendheim Center For Finance   103   Enrolled:4 Limit:14
22593 P06 03:30:00 pm - 04:20:00 pm W        Enrolled:0 Limit:0 Canceled
22594 P07 01:30:00 pm - 02:20:00 pm Th   Bendheim Center For Finance   103   Enrolled:9 Limit:14
22595 P08 11:00:00 am - 11:50:00 am F   Bendheim Center For Finance   103   Enrolled:14 Limit:14 Closed
22596 P09 10:00:00 am - 10:50:00 am F        Enrolled:0 Limit:0 Canceled
22597 P10 11:00:00 am - 11:50:00 am F        Enrolled:0 Limit:0 Canceled
22598 P11 12:30:00 pm - 01:20:00 pm F        Enrolled:0 Limit:0 Canceled