Fall 2022 - BUS 336 D200

Data Analytics and Visualization (3)

Class Number: 3206

Delivery Method: In Person

Overview

  • Course Times + Location:

    We 2:30 PM – 5:20 PM
    SRYC 5240, Surrey

  • Exam Times + Location:

    Dec 13, 2022
    7:00 PM – 10:00 PM
    SRYC 3090, Surrey

  • Instructor:

    Hamideh Shokoohian
  • Prerequisites:

    MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; BUS 232, ECON 233, or STAT 270, with a minimum grade of C-; 45 units.

Description

CALENDAR DESCRIPTION:

Investigate data analytics, visualization, and modeling approaches relevant to business decisions. The course will investigate three important pillars of analytics including decision analytics, predictive analytics, and data visualization. Quantitative.

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html