TSoM Canada | Diploma in Data Analytics Co-op

Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance. ... Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance.

Created by created by TSoM Canada last updated Sat, 16-Jul-2022  English
₹ 757300

This course includes:

    • image 1 section
    • image 6 lessons
    • image full lifetime access
    • image Certificate of completion

Get Free certificate along with the course

Note : The above certificate is for reference, actual certificate will be available post completion of the course.

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This one-year program, Diploma In Data Analytics Co-op, is powered by AWS Educate, Tableau and Perlego.  It will help you to develop the in-demand skills and knowledge needed to analyze data and drive decision-making to improve business performance.

This program qualifies for Second Career funding.

Duration: Full-time: Academic: 24 weeks in class and 12 weeks of co-op Total length: 52 weeks including scheduled breaks

Start Dates: Blended Learning May 2, 2022; September 6, 2022

Class time: Daytime

  • Use the skills gained to enhance the quality and usefulness of data analytics by drawing from both the cutting-edge technology of automated data collection as well as traditional methods to enable the development of methodologically-sound approaches
  • Enhance your knowledge of theoretical concepts and practical applications of data auditing, handling and collecting as well as the accurate tools for this and for effective decision-making
  • Gain practical experience in handling and analyzing data to gain informative and useful insights using analysis software such as Structured Query Language (SQL) and SAS while continuously learning the theoretical concepts in handling and designing data
  • Learn to use specialist data visualization packages and tools such as Tableau, Qlik Sense and D3 to visualize datas
  • Acquire knowledge to use R, the leading programming language in data science and statistics
  • Understand the concepts of, and recognize the importance of professional conduct, and develop and implement strategies to promote professional competence.

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
curriculum for this course
6 lessons
5 lessons
  • Data Design
  • Data Handling and Decision Making
  • Working with Data using SAS and SQL
  • Data Visualization and Interpretation
  • Work Placement


  1. Ontario Secondary School Diploma or equivalent or
  2. Be at least 18 years of age and pass the Wonderlic test.

For non-native English speakers:

  1. Successful completion of TSoM EAP Level 2 or
  2. Have the required IELTS 4.5 score or equivalent or
  3. Pass the TSoM English Assessment (Written onsite or online with exam proctor)

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

Computer Use Expectation

In order to successfully progress through studies at Toronto School of Management (TSoM), it is required that you have access to a personal computer or laptop, with minimum configurations:

  1. CPU: 64-bit x86 Intel or AMD Processor from 2011 or later with full virtualization support with minimum 2GHz or faster core speed. Intel i5 or higher with 4 cores or more is recommended.  Ensure that it fully supports VMware and VirtualBox.
  2. RAM: 6GB or more is recommended.
  3. Storage: Minimum 256GB HDD/SSD or higher
  4. USB3 support
  5. Wireless Adapter with N or AC standard

Additionally, TSoM offers access to computer labs on campus, but availability cannot be guaranteed and some program software may not be available on all open access computers.

Assessment Method

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

**If you do not pass the module, you can re-take the module when it is offered next and by paying a retake fee.

Letter Grade


Grade Point


90 - 100



85 - 89



80 - 84



77 - 79



73 - 76



70 - 72



67 - 69



63 - 66



60 - 62



50 - 59



0 - 49


about the instructor
  • 17 courses
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"Toronto School of Management (TSoM)- is an award-winning college offering a range of industry-relevant programs, designed to ensure our students meet the demands of today’s ever-changing job market. Toronto School of Management is a part of the Global University Systems group of companies (the GUS Group). We have partnered with some of the biggest players in the industry to train our students to be proficient in the latest tools and software. Our program portfolio ranges from business, hospitality & tourism, and accounting, to programs in big data, digital marketing, data analytics and cyber security. Located in the heart of downtown Toronto, students are steps away from discovering countless employment opportunities and a myriad of local attractions with a diverse student body from over 87 countries. TSoM was conferred the Diamond Award Winner of Best Adult Education by The Star Readers' Choice 2021. Toronto School of Management Ranked 2nd Overall by Edurank in the Global – Business Schools Category for 2021!
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