Data Skills Lab

Learn how to identify flawed business questions and reframe them into specific, data-driven, and actionable inquiries. This interactive exercise will guide you through systemic thinking techniques to ensure you're asking the right questions that lead to better decisions.

Practice making sense of and analyzing various AI outputs as a consumer of AI, including evaluating its trustworthiness and questioning its broader risks and impacts.

Develop your data literacy skills through real-world business scenarios. Practice evaluating data quality, interpreting insights, spotting biases, and making informed decisions to solve business challenges.

Sharpen your analytical thinking by tackling business problems that require evaluating data representativeness, distinguishing causation from correlation, and assessing decision risks.

Learn how to transform vague challenges into powerful, actionable questions using the QUESTION framework. You'll practice crafting specific inquiries that drive clear, informed decision-making.

Analyze retail sales data over time to identify key trends, seasonal patterns, and fluctuations, helping them make informed business recommendations.

Prioritize business initiatives by evaluating their potential impact and feasibility. Work through structured assessments to make strategic, data-informed funding decisions.

Turn raw survey data into a compelling, stakeholder-ready narrative. This exercise teaches you to extract key insights, frame a clear storyline, and present actionable recommendations.

Learn how to transform vague business inquiries into specific, actionable data questions. This activity walks you through a structured four-step process to bridge the gap between business needs and data insights.

Use a five-step framework, this activity guides you through choosing a focus area, mapping processes, spotting pain points, checking data availability, and prioritizing the best opportunities for impact.

Strengthen your critical data literacy by identifying common visualization pitfalls. In this interactive challenge, you'll spot misleading charts, uncover how they distort information, and learn techniques for creating and interpreting honest, accurate visuals.

Broaden your understanding of what "data" really includes. In this quick, interactive activity, you'll classify statements as quantitative data, qualitative data, assumptions, or noise—and discover why it matters for making better decisions.

Strengthen your data literacy by interpreting a simple business dashboard. Identify what’s going well, spot areas needing attention, and learn how to ask smarter questions about what the data does—and doesn't—show you.

Practice spotting clear, unclear, and misleading business questions. In this quick activity, you'll sharpen your ability to craft better, more specific questions that lead to stronger data collection and decision-making.

Build essential statistical literacy by interpreting real-world data scenarios. This activity helps you spot misleading statistics, understand limitations, and develop stronger, evidence-based conclusions from numbers and charts.

Learn to critically assess statistical language using the CLEAR framework. In this interactive activity, you'll evaluate real-world claims for causality, association, evidence strength, and measurability to sharpen your decision-making skills.