Course Description

Business Analytics Introduction

This course explores business analytics techniques to formulate and solve business problems and to support managerial decision making. Students will learn how to use and apply Excel and Excel add-ins to solve business problems.

Analytics is the application of analysis and advanced solutions to improve our understanding of something that is of interest to us. The understanding may be related to past, present or future behaviours.

Analytics includes business intelligence, which is comprised of standard and ad hoc reports, queries and alerts; and quantitative methods, including statistical analysis, forecasting/extrapolation, predictive modelling (such as data mining), optimization and simulation. This course differs from the mathematically-focused or R programming for statistics courses. This course covers fundamental analytical techniques, how to apply them to business problems, and how to interpret the results.

Course Details

Course Level Learning Outcomes

By completion of this course, successful students will be able to:

  • Define business analytics
  • Explain why analytics are important in today's business environment
  • Learn examples and demonstrate advanced techniques with a business application
  • Use data, information technology, statistical analysis, quantitative methods and mathematical models to help business gain improved insight about their business operations

Topics of Instruction

  • Introduction to business analytics
  • Data mining and data analytics
  • Predictive analytics
  • Forecasting
  • Optimization
  • Simulation
  • Customer analytics
  • Operational analytics
  • Social analytics
  • Text analytics


For the best experience, your computer and internet connection should meet certain requirements. See the recommended requirements...


Proficiency in Excel to an intermediate-advanced level will be required to complete course activities.

Applies Towards the Following Program(s)

Enrol Now - Select a section to enrol in
Online Synchronous
9:00AM to 12:00PM
Sep 14, 2024 to Dec 07, 2024
Schedule and Location
Delivery Options
Course Fees
Flat Fee non-credit $979.00
Reading List / Textbook
No Textbook Required. 
Recommended Texts
Title: Essentials of Business Analytics Edition: 2017 Authors: Jeffrey D. Camm; James J. Cochran; Michael J. Fry Publisher: Cengage Learnin Print ISBN: 9781337015622, 1337015628 eText ISBN: 9781337015622, 1337015628 Title: Getting Started with Business Analytics: Insightful Decision-Making Edition: 2013 Authors: David Roi Hardoon, Galit Shmueli Publisher: Chapman and Hall/CRC ISBN: 978-1439896532 Please note: ICT textbooks are not available through the University of Calgary bookstore.
Section Notes

Classes are held online in real time (Mountain Time) at the specified time and dates.

You will require access to a computer with an Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors).

This course uses:

  • Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L.
  • Zoom web conferencing software.
  • A virtual lab with VMware Horizon, a platform that provides access to virtual applications including the latest software for the course. You will be provided with a VMware account and login information once the course starts.

For the best experience, your computer and internet connection should meet certain requirements. See the recommended requirements...

For more information, please visit our Online Learning Resources.

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registered on (or after) the start date will receive access within one day of registration.

Students unfamiliar with online learning are encouraged to take our free Digital Skills for Learning Online course.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Required fields are indicated by .