Spring 2019 - STAT 240 D100
Introduction to Data Science (3)
Class Number: 3431
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
EDB 7618, Burnaby
Exam Times + Location:
Apr 15, 2019
12:00 PM – 3:00 PM
Prerequisites:Any STAT course (except STAT 100) or BUEC 232, and one of CMPT 102, CMPT 120, CMPT 125, CMPT 128, CMPT 129, CMPT 130, or permission of the instructor.
Introduction to modern tools and methods for data acquisition, management, and visualization capable of scaling to Big Data. Quantitative.
This course will use the statistical software R to acquire and clean data for answering data science questions. This class will focus on using SQL to query big data sets, handling text data from a webpage api, and scraping data from webpages.
- Weekly Lab Assignments 20%
- Projects 40%
- Final Exam 40%
Above grading is subject to change.
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. Authors: Simon Mumzert, Christian Rubba, Peter Meissner, Dominic Nyhuis. Publisher: Wiley
Department Undergraduate Notes:
Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or firstname.lastname@example.org
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ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS