Business Analytics for Data Driven Decision Making – Digital Nova Scotia – Leading Digital Industry

June 20 – July 1, 2022

Tuesdays & Thursday 1-3pm

Valued at $2,000 +HST, FREE for eligible DNS members

Hosted by Kevin D’Aguiar , Matters of Data

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About the Instructor

Kevin D’Aguiar Headshot

Kevin D’Aguiar


To apply your organization must

Apply Now

Step 1: Fill Out Business Eligibility Form

Download and complete the following form to confirm your eligibility for funding. Please ensure all fields are filled correctly prior to submitting, organizations who participated in the program last year can contact us for their previous forms for reference if needed.

Download Form

Step 2: Submit Paperwork

Send in your completed form to be reviewed.

Step 3: Wait for Eligibility Confirmation

Please give us at least 3 – 5 business days to respond to your email with your eligibility. Should we require any additional information, we will follow up with you. Note, space is limited, and submitting a form does not guarantee you a spot within the program. We encourage all interested organizations to apply as soon as possible.


Have Questions?

Please contact Aishwarya Shrestha at

Course FAQ

[ click on a question to view the answer ]

Who can take this course?

The program is tailored to all who want to improve their data literacy. There are no prerequisites. All those who work in the ICT sector in Nova Scotia, from small and medium businesses to big enterprises are welcome.

After completing this course, participants will:

  • Feel more confident about incorporating Analytics into their workflow.
  • Find more value from data as data-driven decisions become a key driver of every business objective.

What is the online course schedule?

Each Class session is 2 hours long and includes 1:1 sessions to help solve analytics challenges specific to the participants. All training presentations will also be provided for long-term reference

  • Class 1: Why Data Matters & Data Philosophy
  • Class 2: Data Culture & Analytics Strategy
  • Class 3: Data Monetization, Interpreting Data & Data Security
  • Class 4: Report Automation, Data Storytelling & Ethics in Data