Data Interpretation & Decision-Making in Professional Contexts

Data is part of almost every role today — from spreadsheets and reports to dashboards and daily decisions. Yet, many professionals struggle not because they lack data, but because they are not confident in understanding or using it effectively.

This fully interactive course is designed to help you build practical data skills that you can apply immediately in your work. Through hands-on activities, you will work with realistic examples that reflect common workplace scenarios, all in real-time simulations, to practice as many times as you want.

You will not learn complex analytics or advanced statistics. Instead, you will focus on what actually matters in everyday work:

  • understanding what data is telling you
  • identifying patterns and trends
  • avoiding common mistakes
  • turning data into clear, useful insights

By the end of the course, you will move from simply “looking at data” to using it with confidence to support your decisions.


  • Duration: 3 hours
  • Asynchronous Learning
  • Full Access
  • Language: English
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About the course

What's included?

  • Interactive Activities
  • Experiential Exercises
  • Presentations
  • Videos
The course is accessible on computers, tablets and mobile phones, and compatible with assistive technologies.

What will you learn?

  • Understand key data concepts used in everyday work
  • Read and interpret data from spreadsheets and reports
  • Identify patterns, trends, and inconsistencies
  • Clean and organize simple datasets
  • Create basic charts and visualizations
  • Turn data into clear insights and conclusions
  • Communicate data findings in a structured way
  • Avoid common mistakes when working with data

Who is it addressed to?

  • Professionals who work with data in spreadsheets or reports
  • Employees who need to make decisions based on data
  • Individuals who want to feel more confident when working with numbers
  • Anyone who wants to move beyond basic tool usage and truly understand data

Course Requirements

  • No previous experience required.
  • Access to a computer or tablet with internet connection.