Data-Driven Decision Making
Turn raw data into clear, defensible business decisions with practical frameworks, metrics, and analysis.
Data-Driven Decision Making helps you make clearer, more confident choices by using evidence instead of guesswork. This practical course is ideal for professionals who want to strengthen their Business Strategy, evaluate information more effectively, and turn analysis into action that improves outcomes.
Build Smarter Business Strategy With Data-Driven Decision Making
- Learn how to frame the right business question before looking at data
- Use practical frameworks to assess data quality, relevance, and risk
- Compare options with simple analytical methods you can apply immediately
- Communicate insights clearly so stakeholders can act with confidence
Turn raw data into clear, defensible business decisions with practical frameworks, metrics, and analysis.
This Data-Driven Decision Making course takes you through the full decision process, from defining a problem to presenting recommendations that support better Business Strategy. You will explore where data comes from, how to judge whether it is trustworthy, and how to choose metrics that actually matter for the decision at hand.
As you progress, you will learn how to summarise information, compare options, and interpret the difference between correlation, causation, and confounding. The course also covers experiments, A/B testing, forecasts, and common statistical traps, helping you avoid mistakes that can weaken decision quality.
Beyond analysis, you will practice balancing data with experience and context, which is essential in real-world leadership and team settings. You will also develop skills in storytelling and stakeholder communication so your findings are understood and supported across the organisation.
By the end of the course, you will have a structured decision framework you can use with your team, along with the confidence to make better choices under uncertainty. You will finish able to turn raw data into clear, defensible business decisions with practical frameworks, metrics, and analysis.
Full lesson breakdown
Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.
Foundations
1 lesson
Problem Definition
1 lesson
Data Sources
1 lesson
Data Evaluation
1 lesson
Measurement
1 lesson
Summarising Information
1 lesson
Decision Comparison
1 lesson
Interpretation
1 lesson
Testing
1 lesson
Planning Ahead
1 lesson
Critical Thinking
1 lesson
Judgement
1 lesson
Storytelling
1 lesson
Applied Practice
1 lesson
Implementation
1 lesson
Professor Christina Ross
Professor Christina Ross guides this AI-built Virversity course with a clear, practical teaching style.