Data-Backed Decision Making

Data is everywhere — but knowing how to read it, question it, and act on it is what separates good decisions from great ones. This course gives you a practical, jargon-free foundation in data literacy, designed for professionals who want to work more confidently with data without becoming statisticians or data scientists.

You'll start by building a working vocabulary for data — metrics, reports, charts, and analysis — then move into the organizational side: overcoming resistance, assessing your company's data culture, and taking your first hands-on steps. From there, you'll follow the full data pipeline, learn how teams collaborate around data, and develop the critical thinking skills that turn raw numbers into meaningful action.

Along the way, you'll tackle the concepts that trip most people up — data quality, correlation vs. causation, statistical significance, and machine learning — broken down clearly and connected directly to real decisions. You'll finish with a practical framework for applying data literacy through clear goals, curiosity, and collaboration.

By the end, you'll have the vocabulary, the mindset, and the tools to engage with data at any level — and the confidence to keep going deeper.