Sheridan Course Outlines

Land Acknowledgement

Sheridan College resides on land that has been, and still is, the traditional territory of several Indigenous nations, including the Anishinaabe, the Haudenosaunee Confederacy, the Wendat, and the Mississaugas of the Credit First Nation. We recognize this territory is covered by the Dish with One Spoon treaty and the Two Row Wampum treaty, which emphasize the importance of joint stewardship, peace, and respectful relationships.

As an institution of higher learning Sheridan embraces the critical role that education must play in facilitating real transformational change. We continue our collective efforts to recognize Canada's colonial history and to take steps to meaningful Truth and Reconciliation.

Section I: Administrative Information

Total hours: 21.0
Credit Value: 1.5
Credit Value Notes: N/A
Effective: Fall 2020
Prerequisites: N/A
Corequisites: N/A
Equivalents: N/A
Pre/Co/Equiv Notes: N/A

Program(s): Business Analysis, Project Management - Other rel
Program Coordinator(s): Maria Amuchastegui
Course Leader or Contact: N/A
Version: 20200914_00
Status: Approved (APPR)

Section I Notes: This is a Sheridan College course that is offered through Sheridan CAPS. Students who register for the course through Sheridan will receive credit from Sheridan College only. Access to the course materials will be through OntarioLearn.com. This course is offered in a classroom version and an online version. In the classroom version, classes are conducted on campus, students engage in classroom instruction. The online version is a web-based course offered entirely online through Sheridan. Students taking this course will need reliable access to the internet, and should have a basic level of comfort using computers as well as the self-discipline to study online.

Section II: Course Details

Detailed Description
Students learn to examine organizational goals and the value provided to a range of stakeholders by data analytics and big data systems and processes. They explore the concepts, and operating principles, techniques, and technology of the field. Students study how data analytics systems and skills, including planning, can inform business decision makers and meet their needs, and how predictive analytics, statistical analysis and modelling, visualization, business intelligence and decision support can play an important role in modern business success. Students also explore data management techniques including data cleansing and ETL (Extract, Transform, Load) systems.

Program Context

Business Analysis	Program Coordinator(s): Maria Amuchastegui
This is an elective course in the Business Analysis Sheridan Certificate offered through the Faculty of Continuing and Professional Studies.
Project Management - Other rel	Program Coordinator(s): N/A
N/A

Course Critical Performance and Learning Outcomes

	Critical Performance:
	By the end of the course, students will have demonstrated the ability to describe the key steps, tasks, roles and components required to plan and implement analytics and big data projects

Learning Outcomes:

To achieve the critical performance, students will have demonstrated the ability to:

Describe the key terminology and elements of analytics and big data systems
Explain how analytics, visualization and predictive models can be used to achieve organizational goals
Determine how to identify, collect and interact with data
Analyze the goals and roles of various stakeholders in an analytics project
Determine the key tasks and components required to plan and implement an analytics project

Evaluation Plan
Students demonstrate their learning in the following ways:

Evaluation Plan: ONLINE

	Discussion (2x5%)	10.0%
	Group assignments (1x15%)+(1x20%)	35.0%
	Individual Assignment	15.0%
	Quizzes (5%+5%+10%+5%)	25.0%
	Final Exam	15.0%
	Total	100.0%

Evaluation Notes and Academic Missed Work Procedure:

3 week on-campus delivery evaluation plan is as follows:
Discussion 2 x 5% 
Case Study 15%
Group Assignment 25%
Group Assignment: Analytics Ideation Project 15%
Quizzes 3 x 5%, 1 x 10%
Final Quiz 10%

The following protocol applies to every course offered by the Faculty of Continuing and Professional Studies
1. Students are responsible for staying abreast of test dates and times, as well as due dates and any special instructions for submitting assignments and projects as supplied to the class by the instructor.
2. Students must write all tests at the specified date and time. Missed tests, in-class/online activities, assignments and presentations are awarded a mark of zero. The penalty for late submission of written assignments is a loss of 10% per day for up to five business days (excluding Sundays and statutory holidays), after which, a grade of zero is assigned. Business days include any day that the college is open for business, whether the student has scheduled classes that day or not.  An extension or make-up opportunity may be approved by the instructor at his or her discretion.

Evaluation Plan: IN-CLASS

	Class Exercises (2x5%)	10.0%
	Group assignments (1x15%)+(1x20%)	35.0%
	Individual Assignment	15.0%
	Quizzes (5%+15%+5%)	25.0%
	Final Exam	15.0%
	Total	100.0%

Evaluation Notes and Academic Missed Work Procedure:

3 week on-campus delivery evaluation plan is as follows:
Discussion 2 x 5% 
Case Study 15%
Group Assignment 25%
Group Assignment: Analytics Ideation Project 15%
Quizzes 3 x 5%, 1 x 10%
Final Quiz 10%

The following protocol applies to every course offered by the Faculty of Continuing and Professional Studies
1. Students are responsible for staying abreast of test dates and times, as well as due dates and any special instructions for submitting assignments and projects as supplied to the class by the instructor.
2. Students must write all tests at the specified date and time. Missed tests, in-class/online activities, assignments and presentations are awarded a mark of zero. The penalty for late submission of written assignments is a loss of 10% per day for up to five business days (excluding Sundays and statutory holidays), after which, a grade of zero is assigned. Business days include any day that the college is open for business, whether the student has scheduled classes that day or not.  An extension or make-up opportunity may be approved by the instructor at his or her discretion.

Provincial Context
The course meets the following Ministry of Colleges and Universities requirements:

Prior Learning Assessment and Recognition
PLAR Contact (if course is PLAR-eligible) - Office of the Registrar
Students may apply to receive credit by demonstrating achievement of the course learning outcomes through previous relevant work/life experience, service, self-study and training on the job. This course is eligible for challenge through the following method(s):

Challenge Exam
Notes:
Other
Notes: This course is delivered through OntarioLearn at ontariolearn.com and is hosted by (Sheridan College) SH-MGMT70045.

Section III: Topical Outline

Some details of this outline may change as a result of circumstances such as weather cancellations, College and student activities, and class timetabling.
Instruction Mode: Online
Professor: Multiple Professors
Resource(s):

	Type	Description
Optional	Other	No textbook required

Applicable student group(s): Students in the online class in the Faculty of Continuing and Professional Studies.
Course Details:

Module 1: Key terminology and elements of analytics and big data systems

Key terms applicable to analytics and big data systems
Data and information attributes that require big data solution elements
Using analytics and big data elements to solve business needs

Assessment: In Class Exercise / Online Discussion - 5%

Module 2: Analytics, visualization and predictive models

The value of using analytics systems to achieve organizational goals.
Using visualization to transform data into information
Infographics
The steps for creating and using predictive analytics models

Assessment: In Class Exercise / Online Discussion 5%, Quiz 5%, Group Assignment 15%

Module 3: Identifying, collecting and interacting with data

What data is needed, where it is and how to access it
Relational data base basic terms
The three levels of database models that a Business Analyst may interact with
The organization and structure of data storage systems
Conducting a multi-dimentional analysis of data
Key processes and tools for managing big data and analytics projects (e.g., ETL -- Extract, Transform, Load systems)
SQL vs. NoSQL databases
Managing big data with the Hadoop echo-system

Assessment: Quizzes 5%+10%=15%, Individual Assignment (Case study)15%

Module 4: Stakeholders in an analytics project

The roles of the various stakeholders in an analytics project
Using the information generated through an analytics project – who will use what and how

Module 5: Planning an analytics project

The key planning steps for building an analytics system
Advantages of deploying analytics projects incrementally
The analytics project plan: key steps, tasks, roles and components

Assessment Quiz: 5%

Assessment: Group Assignment 20%, Final Exam 15%

Sheridan Policies

It is recommended that students read the following policies in relation to course outlines:

Academic Integrity
Copyright
Intellectual Property
Respectful Behaviour
Accessible Learning

All Sheridan policies can be viewed on the Sheridan policy website.

Appropriate use of generative Artificial Intelligence tools: In alignment with Sheridan's Academic Integrity Policy, students should consult with their professors and/or refer to evaluation instructions regarding the appropriate use, or prohibition, of generative Artificial Intelligence (AI) tools for coursework. Turnitin AI detection software may be used by faculty members to screen assignment submissions or exams for unauthorized use of artificial intelligence.

Course Outline Changes: The information contained in this Course Outline including but not limited to faculty and program information and course description is subject to change without notice. Nothing in this Course Outline should be viewed as a representation, offer and/or warranty. Students are responsible for reading the Important Notice and Disclaimer which applies to Programs and Courses.

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