Diploma in Data Analytics Co-op

You will have 600 hours of guided learning followed by 240 hours of practical experience in an established business.

The work placement will help you apply the theories you have learnt in real business situations. We will help you secure your work placement by sending you for interviews.

The modules are:

1. Data Design

This module is designed to provide you with the skills to enhance the quality and usefulness of data analytics by starting with the intended outcomes.

The module will enable you to consider the information an organization wants to gain from data analytics. This will give you the skills to select the most appropriate data collection method, design deployment approaches, implement data collection techniques and revise instruments and systems to be developed.

This module incorporates automated data collection as well as traditional methods to enable the development of methodologically-sound approaches. Throughout the module you will be given access to the Amazon Web Services (AWS) virtual environment where you will be able to complete additional assignments and earn micro-credentials.

2. Data Handling and Decision Making

This module is designed to introduce the theoretical concepts and practical applications of data auditing, handling and decision-making. It will equip you with the skills needed to identify what the findings from data analysis mean and how they can be applied.

You will learn approaches that can be used to audit existing data within an organization to identify gaps, analyze data and generate recommendations from your findings.

As part of your studies you, will be able to learn how to utilize R as it is rapidly becoming the leading language in data science and statistics. Today, R is the preferred programming language for data science professionals in every industry and field.

3. Working with Data using SAS and SQL

This module gives you an opportunity to gain practical experience in handling data using analysis software. The module will also cover theoretical concepts from data design and handling while teaching techniques to work with Structured Query Language (SQL) and SAS.

The module is designed in two parts; part one focuses on learning fundamentals of SQL) with multiple exercises, which is essential for working with databases. You’ll get hands-on experience accessing and manipulating data in order to gain useful insights. In part two, you will learn how to use SAS software for data handling and analysis.

4. Data Visualization and Interpretation

This module is partnered with the data handling and decision-making module, and enables you to develop your skills in data presentation to facilitate the understanding of findings, so you can make informed decisions. Data visualizations are a powerful method of making data accessible and understandable to non-specialists.

Through this module you will learn the appropriate use of graphs and charts as well as the use of specialist data visualization packages and tools such as Tableau, Qlik Sense and D3 to visualize data and impact the decision-making process.

5. Work Placement

At the conclusion of the program, you are required to complete 240 hours of work placement in a suitable business environment. Appropriate business sectors for placement include marketing, retail, finance and accounting, not-for-profit, customer care and administration.

Activities performed will vary depending on the work placement site, however, key responsibilities include being supervised by a placement host at all times, observing all workplace and school safety and security procedures, dressing appropriately, interacting with other staff respectfully, courteously and enthusiastically, learning about the work environment and participating in the daily routine as required.

• Ontario Secondary School Diploma or Equivalent * or Mature student **
• Age 18 or older
• IELTS of 5.5 or equivalent for Non-native English speakers 
• Pass a Wonderlic Scholastic Level Exam with a minimum score of 16

For more information on English language requirements, please see English Proficiency page

*A transcript, diploma or certificate from another country are considered equivalent to an Ontario high school diploma if assessed at an Ontario OSSD level by a recognized assessment service.

** Mature students must be at least 18 years of age and pass a Wonderlic Scholastic Level Exam with a minimum score of 16.

See the pre-approved recognized assessment services below:

• World Education Services
• University of Toronto, School of Continuing Studies, Comparative Education Service
• International Credential Assessment Service of Canada

You must successfully complete and pass all five modules to be awarded the TSoM Diploma in Data Analytics Co-op. An overall 50% pass mark is required in order to pass the course to make sure you have acquired sufficient knowledge and skills.

The assessment of each module consists of:

Module 1

• Individual assignments or class tests 40%
• Essay 25%
• Report 35%

Module 2

• Individual assignments or class tests 40%
• Essay 25%
• Report 35%

Module 3

• Individual assignments or class tests 20%
• Mid-term examination 30%
• Final examination 50%

Module 4

• Individual assignments or class tests 40%
• Presentation 35%
• Final assignment 25%

Module 5

• Co-op evaluation/report Pass/Fail

 

Letter Grade	Percentage	Grade Point
A+	90 - 100	4.3
A	85 - 89	4.0
A-	80 - 84	3.7
B+	77 - 79	3.3
B	73 - 76	3.0
B-	70 - 72	2.7
C+	67 - 69	2.3
C	63 - 66	2.0
C-	60 - 62	1.7
D	50 - 59	1.0
F	0 - 49	0.0

Upon completion of this program, you will be awarded a Diploma in Data Analytics Co-op. If you do not pass, you can re-enroll in the course and re-take at the next available sitting.

Graduates of this diploma can consider career opportunities under NOC 2172 which includes positions such as:

• Data analyst
• Database analyst
• Data mining analyst
• Data warehouse analyst