Dates and Venue

Date:

Wednesday, April 29, 2026

Time:

1:00 PM to 5:00 PM (Vancouver Time)

Location:

Vancouver, Canada

Venue:

University of British Columbia(UBC Robson SQUARE) – 800 Robson Street Vancouver, British Columbia, Canada V6Z 3B7

Format:

In-person and Online (Virtual)

Choose Your Participation:

Foreign / International Participant

  • Full access to all sessions and activities (in person)
  • Practical tools, templates, and checklists
  • Teaching materials and learning resources
  • Q&A and Interactive case discussions
  • Guided exercises and role-based activities
  • Personalized invitation letter
  • Professional Development Certificate

Domestic Participant

  • Full access to all sessions and activities (in person)
  • Practical tools, templates, and checklists
  • Teaching materials and learning resources
  • Guided exercises and role-based activities
  • Q&A and group discussion throughout the session
  • Professional Development Certificate

Virtual / Online Attendee

  • Live instructor-led training (virtual)
  • Practical tools, templates, and checklists
  • Teaching materials and learning resources
  • Guided exercises and role-based activities
  • Q&A and group discussion during the session
  • Professional Development Certificate (digital)

Discounts Available

Group and early bird discounts are available for this program. Contact us at [email protected] to check the current discount options and eligibility.

Program Overview

Artificial intelligence and data analytics using MS Excel for workplace corporate training program in Vancouver is a practical, hands-on session built for busy professionals who want to work smarter with data using tools they already have. It focuses on real workplace reporting and analysis, showing how modern Excel features, including built-in AI support, fit into day-to-day business tasks without requiring any coding.

Participants follow the full analytics workflow from preparing data to interpreting results and presenting insights clearly for decision-making. The workshop also introduces Excel’s predictive and automated insight capabilities, so teams can move beyond “what happened” and start supporting planning with simple, reliable forecasting.

Program Schedule

To make the learning easy to follow, the program is broken into topic-based sessions, activities, and breaks. We’ll cover the essentials first, then build toward analysis and insights, using practical examples and plenty of practice time. Scroll down to view the full schedule and plan your participation.

NB: We may adjust the schedule to maintain a smooth learning flow.

Welcome Briefing

Opening & Workshop Orientation | 1:00 – 1:15 PM

  • Welcome and introductions
  • Workshop objectives and expected outcomes
  • Why AI and data analytics skills are essential in modern workplaces

Module 1

Foundations of AI and Data Analytics in Excel | 1:15 – 2:00 PM

  • Overview of the Data Analytics Life Cycle
  • What is Data Analytics and Machine Learning
  • Supervised vs. Unsupervised learning (conceptual overview)
  • How AI is embedded in Microsoft Excel features
  • Mapping Excel tools to the Data Analytics Life Cycle

Activity: Short discussion: Where do participants use Excel in their jobs?

Module 2

Data Cleaning and Preparation with AI-Assisted Features | 2:00 – 2:30 PM

  • Importing and structuring data
  • Removing duplicates
  • Flash Fill for automated data transformation
  • Basic data quality checks

Hands-on Exercise: Clean a sample workplace dataset using Excel features

Refreshment

Coffee Break | 2:30 – 3:00 PM

Module 3

Data Analysis and Insight Generation | 3:00 – 3:45 PM

  • Using “Analyze Data” for automated insights
  • PivotTables and basic visualizations

Hands-on Exercise: Generate insights and charts from the cleaned dataset

Module 4

Predictive Analytics and Decision Support | 3:45 – 4:30 PM

  • Introduction to predictive analytics in Excel
  • Creating forecast sheets
  • Interpreting trends and future projections
  • Using Copilot (or AI-assisted suggestions) for insights, decision support, and summaries

Hands-on Exercise: Create a simple sales or demand forecast using Excel

Closing Remarks

Closing, Certificates, and Testimonials | 4:30 – 5:00 PM

  • Recap of key takeaways
  • Q&A session
  • Certificate distribution
  • Participant testimonials and networking

Who Should Attend?

This corporate training program in Canada is designed for professionals who use Excel in their daily work and want to improve how they organize data, create insights, and support better workplace decisions. No prior AI knowledge or programming experience is required to join. If you belong to any of the following roles, this program is a strong fit for you:

  • Administrative and office professionals
  • Healthcare professionals
  • Business analysts and junior analysts
  • Marketing and sales professionals
  • HR and operations staff
  • Finance and accounting professionals
  • Customer service and support teams
  • Project coordinators and managers
  • Data analysts (for quick insight generation)
  • Small business owners and entrepreneurs
  • Students preparing for business or analytics roles
  • Professionals transitioning into data-driven roles
  • Managers who want to make data-backed decisions
  • Anyone uses excel regularly at work

Why This Training Stands Out

Most teams already work in Excel every day, but they’re not always using it in the most efficient way. This training program in Vancouver is designed to close that gap with practical, guided learning. Here are the key elements that make this training especially valuable for corporate participants:

Hands-on Guided Practice

This training is built around doing, not just listening. We walk through each task together, then you try it yourself with support so you’re not left guessing later. By the end, you’ll have practiced the same kind of work you deal with in real spreadsheets.

AI Without Coding

Participants learn how to use AI-assisted capabilities already available in Microsoft Excel, without writing code or learning complicated tools. It’s designed for everyday Excel users who want smarter results with simple, guided steps.

Immediate Workplace Application

Everything covered in the workshop connects directly to common workplace tasks like reporting, tracking, and analyzing trends. The goal is to help participants apply the methods quickly, so they can use the same approach in their role right away.

Save Hours of Manual Work

The training shows how Excel’s modern features can reduce repetitive work such as cleaning messy datasets, spotting issues, and creating summaries. Participants see how tasks that normally take hours can often be completed in minutes.

Built-in Predictive Analytics

Participants are introduced to Excel’s forecasting and trend tools in a clear, practical way. They learn how to create simple predictions and interpret results so they can support planning, budgeting, and decision-making without advanced analytics software.

End-to-End Analytics Life Cycle

Instead of learning isolated features, participants follow the full analytics workflow from start to finish, preparing data, analyzing it, visualizing results, and turning insights into decisions. This makes the learning easier to remember and easier to repeat at work.

AI as a Decision-Support Partner

The workshop reinforces human-led decision-making by showing how AI can assist with suggestions, summaries, and insights while professionals stay in control. This builds confidence and helps participants use AI responsibly and appropriately in a workplace setting.

High-ROI Skill for Any Team

Because Excel is already used across most departments, improving Excel analytics skills creates immediate value for individuals and organizations. Participants learn to work faster, report more clearly, and provide insights that others can act on.

Trainer Details

Meet the program trainer who will lead the program and support participants throughout the sessions. The trainer brings practical experience in workplace analytics and professional training. Learn the details of the trainer below, including professional background and areas of expertise.

Mirza Zaeem Baig
Sessional Instructor at Simon Fraser University

Mirza Zaeem Baig holds is an academician and Data Science Enthusiast. Currently, he is involved with multiple post-secondary institutes in Canada including Simon Fraser University and Herzing College, Toronto. He has been working with various institutions in Canada since he moved to the country in 2022. He has a passion for Data Science and AI and likes to work on exploring problems related to helping humans externalize their cognition with the help of AI and immersive technologies. He also explores the area of generating personalized recommendations for consumers in different business sectors.

Mirza brings with him several years of academic and professional experience at multiple roles. He worked at various universities from Pakistan, UAE and Australia. He has also served in the software industry in various technical roles. He was previously involved with Emirates Aviation University (the education arm of the Emirates Group) and the Dubai Campus of Curtin University, Australia where he taught Business, Computer Science and Data Science programs including supervising multiple Data Science based projects. He is also a specialist consultant trainer and has delivered multiple talks and workshops on the topic of AI globally.

Mirza Zaeem Baig 2

Frequently Asked Questions

Ready for a More Confident Excel Day?

Join this artificial intelligence and data analytics using MS Excel for workplace corporate training program in Vancouver, Canada. Walk away with a practical workflow you can apply to real workplace data the very next day.

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