INFO 6270

Introduction to Data Science

Lec 01 selected

This course serves as an introduction to data science, an increasingly important set of skills and techniques for business intelligence, effective governance, and the research process. The amount of data we generate increases year on year. As computers have begun to play roles in many aspects of our daily life, our actions and interactions leave digital traces. This has led both to an explosion in the amount of data that we generate and an increased interest in analyzing and understanding that data. This class will give you an introduction to the skills you need to effectively collect, manipulate, and analyze data yourself.

Sections

Lecture

From the syllabus

From the Winter 2025 syllabus by Philippe Mongeon. Open the PDF

Grading

50%Weekly assignmentsWeekly from week 3; due the day before class
10%Project proposalDue end of week 5
40%Individual projectDue Friday following the end of term

Course rules

Late work
Late assignments lose 5% per day, including weekends; work seven or more days late normally receives zero.
Attendance
The course is asynchronous, and supervised labs are optional.
Missed work
For short-term absences, contact the instructor before the deadline and submit a Student Declaration of Absence form.
Citation style
Use APA citation style unless the instructor gives different written instructions.

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