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ICT 771 Business Analytics Introduction

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Course Description

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.

Course Details

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 behaviors.

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 modeling (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 and when / how to apply them to management / business problems and how to interpret the results.


Prerequisites

  • This course does not have prerequisites, students must however meet the recommendations and requirements in the Notes section along with any proficiencies identified below.

Instructional Delivery

All instruction is instructor-led, face-to-face and may be delivered in three formats:

  • In Class - all classes are taught in a classroom lab.
  • Online - all classes are taught synchronously in real-time.
  • Blended - delivery is both in a classroom lab and synchronously online, alternating weekly.

It is the students responsibility to carefully read the course section content below to know which delivery options are available for the course they are registering into.

Registration

  • Registrations within 24 hours of course start time must be made by phone (403-220-2988).

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Course Content

Course Level Learning Outcomes

  • 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

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Notes

Recommendations and Requirements

Course Duration

Courses are 30 hours and are scheduled to be completed in either 5 weeks or 10 weeks. Generally, 5 week courses have two classes per week, and 10 week courses have one class per week.

Delivery Formats

Courses may be delivered in class, online, or blended (both in class and online). All delivery formats will use Desire2Learn (D2L) and Adobe Connect Meeting (ACM) tools to varying degrees and it is the students responsibility to ensure they are comfortable with these tools prior to the start of the first class.

Students are encouraged to read Student Online Learning Resources to determine the delivery format that will best meet their learning needs.

  • Students familiar with D2L and ACM from previous course work require no further introduction to these learning tools.
  • Students who register into an in class only course section and who are unfamiliar with D2L and ACM learning tools are recommended to take the necessary time to fully explore these learning tools prior to the start of class.
  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.

Required Tools

For online and blended delivery, students should have access to their own computer with required software, Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors). Students should test their environment prior to the start of class to ensure everything is working properly.

Required Software

  • The software used in this course is Microsoft Excel 2016 which is a free download from Microsoft.
  • If necessary, additional software requirements will be announced at the start of the course.

Textbooks

Attendance

It is strongly recommended that students attend every class. It is the responsibility of the student to communicate potential absenteeism to the instructor.

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Prerequisites

  • This course does not have prerequisites, students must however meet the recommendations and requirements in the Notes section along with any proficiencies identified below.

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Proficiencies

  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.
  • Students must be familiar with the personal computer, keyboard and mouse.
  • Students must have Microsoft Windows skills and knowledge, and be able to perform the following tasks:
    • start and run Windows
    • use the taskbar, Start button and Help feature
    • use Minimize, Maximize, Restore Down/Up and Close
    • use the left and right mouse buttons appropriately
    • understand file management techniques
    • navigate between files, folders, or drives.

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Applies Towards the Following Certificate(s)




Sections

  ICT 771 - 001 Business Analytics Introduction  
  Spring 2017   Status:  Available
 
Class:   Wed 6:00PM - 9:00PM
12 Apr 2017 to 14 Jun 2017
Number of Sessions: 10 Sessions
Hours: 30.00
Course Fees:   Flat Fee non-credit    $975.00
Section Fees:
Transcript $10.00
 
Campus: Main Campus
Delivery Options:  Class
Instructor(s): Niaz Tadayyon
  Section Notes:  

COURSE SCHEDULE AND DELIVERY

This course has 10 classes scheduled once per week for 10 weeks. This course is delivered in an in class format. Classes are held in a classroom lab. Click the '10 Sessions' link above for details.

PREREQUISITES

There are no prerequisites for this course.

PROFICIENCIES

Students who are unfamiliar with D2L / ACM are recommended to take BMC 352 Learning Online.

TRANSFER AND WITHDRAWAL FEES

A $25 fee applies for course withdrawals and transfers. For our standard Refund, Withdrawal and Transfer Policy visit conted.ucalgary.ca/refund

  
 
  ICT 771 - 002 Business Analytics Introduction  
  Spring 2017   Status:  Available
 
Online:   Wed 6:00PM - 9:00PM
12 Apr 2017 to 14 Jun 2017
Number of Sessions: 10 Sessions
Hours: 30.00
Course Fees:   Flat Fee non-credit    $975.00
Section Fees:
Transcript $10.00
 
Delivery Options:  Online Synchronous
Instructor(s): Niaz Tadayyon
  Section Notes:  

COURSE SCHEDULE AND DELIVERY

This course has 10 classes scheduled once per week for 10 weeks. This course is delivered in a online format. Classes are held online only synchronously in real time. Click the '10 Sessions' link above for details.

PREREQUISITES

There are no prerequisites for this course.

PROFICIENCIES

Students who are unfamiliar with D2L / ACM are recommended to take BMC 352 Learning Online.

TRANSFER AND WITHDRAWAL FEES

A $25 fee applies for course withdrawals and transfers. For our standard Refund, Withdrawal and Transfer Policy visit conted.ucalgary.ca/refund

  
 


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