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Course Details

Spring 2018-2019
* SML 201 (QR)   No Pass/D/Fail

Introduction to Data Science

Michael Guerzhoy

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 the essentials of statistics. Students will work with real-world datasets from various domains; write computer code to manipulate, explore, and analyze data; use basic techniques from statistics and machine learning to analyze data; learn to draw conclusions using sound statistical reasoning; and produce scientific reports. No prior knowledge of programming or statistics is required.

Sample reading list:
D. M. Diez, C. D. Barr, and M. Cetinkaya-Rundel, OpenIntro Statistics (3rd ed.) OpenIntro, Inc., 2015
Kieran Healy, Visualization: A Practical Introduction, PU Press 2018
Hadley Wickham and Garrett Grolemund, R for Data Science, O'Reilly Media, 2017
See instructor for complete list

Reading/Writing assignments:
There will be two data analysis and programming projects, as well as approximately 8 problem sets assigned over the course of the semester.

Requirements/Grading:
Design Project - 30%
Quizzes - 5%
Problem set(s) - 35%
Other (See Instructor) - 30%

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..

Other information:
Other 30% = Term tests

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

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
41808 L01 11:00:00 am - 12:20:00 pm T Th        Enrolled:64 Limit:65
41809 L02 03:00:00 pm - 04:20:00 pm T Th        Enrolled:68 Limit:70 Closed
42764 P01 07:30:00 pm - 08:50:00 pm T        Enrolled:1 Limit:13
42765 P02 07:30:00 pm - 08:50:00 pm T        Enrolled:0 Limit:13
42766 P03 11:00:00 am - 12:20:00 pm W        Enrolled:0 Limit:13
42767 P04 11:00:00 am - 12:20:00 pm W        Enrolled:0 Limit:13
42768 P05 07:30:00 pm - 08:50:00 pm W        Enrolled:1 Limit:13
42769 P06 07:30:00 pm - 08:50:00 pm W        Enrolled:0 Limit:13
42770 P07 01:30:00 pm - 02:50:00 pm Th        Enrolled:0 Limit:13
42771 P08 01:30:00 pm - 02:50:00 pm Th        Enrolled:0 Limit:13
42772 P09 01:30:00 pm - 02:50:00 pm F        Enrolled:0 Limit:13
42773 P10 01:30:00 pm - 02:50:00 pm F        Enrolled:0 Limit:13
42774 P11 03:00:00 pm - 04:20:00 pm F        Enrolled:0 Limit:13
42476 P99 TBA        Enrolled:130 Limit:135