This is your course webpage for STAT 1291: Topics in Applied Statistics—Basics of Data Science, Fall 2017.

• Instructors: From Statistics department,
  • Sungkyu Jung
  • Tim Coleman (TA)
• Meeting times and locations:
  • Monday-Wednesday 11 - 11:50 at Frick Fine Arts Auditorium
  • Friday 11 - 11:50 or 12 - 12:50 at Posvar 1201 or CL 244B
• Office hours:
  • Tuesday 11 - 12 at Posvar 1806 (Sungkyu)
  • Wednesday 1 - 2:30 at Posvar 1824 (Tim)

Data science is an emerging interdisciplinary field stemming from statistics, mathematics and computer science. At its core, data science involves using automated methods to analyze massive amounts of data and to extract knowledge from them. The objective of this course is to provide students with a principled introduction to data science that properly combines inferential thinking and computational thinking. Students will learn the fundamental pipeline of data science, ranging from data acquisition, data clean-up, data exploration and visualization, modeling and inference, to professional reporting.

Note to students: There was another course offered in Spring 2017 with the same number, STAT 1291. This course is different from that course taught by Dr. Mentch. The previous STAT 1291 will be offered again in the coming Spring semester (that is, Spring 2018), with a new number and title STAT 1361: Statistical Learning and Data Science. I recommend you taking STAT 1361.

We plan to repeat this current course with a new number and title STAT 1261: Principles of Data Science, in the coming year.

• Please do your OMET survey. You will receive two questionaries, but only do STAT 1291 - TOPICS APPLIED STAT 1 - 1010 - Lecture (Sung Kyu Jung) and ignore “Recitation”

• Volunteers needed for a focus group of several students, who will gather for a one-hour meeting in the week of Dec 11. The focus group is a part of dB-SERC activities, and will provide inputs on improving this course for future semesters. Contact the instructor for details.

Last update: November 29, 2017