From Spreadsheets to Strategy

Building data skills that actually drive decisions 

In most organizations, data isn’t the problem. There’s plenty of it. The challenge is knowing what to do with it.

Whether you're in marketing, finance, HR, or operations, you’re likely working with data every day. But turning rows and columns into something meaningful and actionable takes more than instinct. It takes a combination of technical skill and analytical thinking.

That’s exactly where two complementary courses come in: Excel Analytics: Tools and Techniques and Data Analytics. Taken together, they offer a practical, step-by-step path from beginner to confident data user.

Why data skills matter now

The demand for data literacy is only growing. According to the World Economic Forum, data analysis and analytical thinking are among the most in-demand skills across industries, with employers increasingly prioritizing candidates who can interpret and act on data.

Closer to home, that trend shows up in everyday roles. Managers are expected to justify decisions. Marketers need to measure performance. Teams are asked to do more with less. Data sits at the centre of all of it.

But having access to data doesn’t automatically lead to better decisions.

Start with the foundation: Excel that goes beyond the basics

For anyone early in their data journey, or returning to Excel after years of only scratching the surface, Excel Analytics: Tools and Techniques builds the essential skills.

This isn’t about basic spreadsheets. It’s about learning how to work with real-world data in a way that’s efficient and useful.

You’ll learn how to:

• Organize and clean large datasets
• Use pivot tables and lookup functions to uncover patterns
• Apply advanced functions and descriptive statistics
• Work with dates, tables, and structured data
• Present your findings clearly, including integrating outputs into reports and presentations

Think of it as getting comfortable with the tools before being asked to solve bigger problems. It removes much of the friction people feel when working with data.

Then move into insight and decision-making

Once you’ve built that foundation, the Data Analytics course takes things further.

Here, the focus shifts from how to use Excel to how to think with data.

You’ll learn how to:

• Apply advanced Excel techniques to different types of datasets
• Interpret results and communicate insights clearly to stakeholders
• Move beyond description into predictive and prescriptive analysis
• Make informed business decisions backed by data

As instructor Raymond Leduc puts it, strong data skills come down to three things: identifying opportunities, doing the right analysis, and telling a clear story. That’s the difference between reporting numbers and actually influencing decisions.

Why these two courses work better together

You can take either course on its own. But together, they’re far more effective, especially if you’re starting with little or no experience.

Excel Analytics builds confidence with the tools
Data Analytics builds confidence with the thinking

One teaches you how to handle the data. The other teaches you how to use it.

Without the first, the second can feel overwhelming. Without the second, the first can feel a bit mechanical. Combined, they create a clear progression from “I can build a spreadsheet” to “I can explain what this means and what we should do next.”

A practical path forward

Both courses are designed for working professionals. They’re applied, flexible, and focused on real-world use. You won’t just learn concepts. You’ll work through examples that reflect the kinds of problems you’re likely already facing.

If you’ve ever opened a spreadsheet and thought, I know there’s something useful here, I just can’t quite get to it, you’re not alone.

The good news is that this is a skill you can build.

And once you do, it changes how you work.

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