

LEARNING PATH
This path is for anyone looking to build foundational data literacy and analytical thinking skills, and learn how to interpret, manage, analyze and communicate with data.
18 hours
4 courses
2 guided projects
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About this path
Data Foundations
Data Prep
Data Analysis
We live in a world that runs on data.
Whether you’re a teacher using test scores to improve lesson plans, a sales manager tracking monthly quotas, or a marketer exploring customer trends, data can help you work smarter and make better, more impactful decisions.
In this path, we'll set the stage by discussing what data literacy means, share resources to help you assess and benchmark your skills, and review key elements of the data ecosystem, including democratization, strategy, architecture and governance.
From there we'll introduce foundational skills for interpreting, managing, analyzing and communicating with data. We'll walk through frameworks for strategic thinking and measurement planning, review case studies and best practices for data prep, exploratory analysis, visualization and storytelling, and explore powerful use cases for leveraging Generative AI.
Finally we'll dive into the most ubiquitous tool in the data landscape: Microsoft Excel. We'll cover everything you need to get up and running, including spreadsheet fundamentals, formulas, pivot tables, and charts, then fully showcase the power of Excel PivotTables, one of the most flexible and intuitive tools for exploratory data analysis.
You'll also get a chance to apply your skills and build your portfolio by solving unique, real-world projects and business cases, like analyzing traffic safety trends in NYC and designing a dashboard for coffee shop transactions.
Who this path is for
Everyday people looking to build confidence and use data more effectively
Leaders seeking to upskill or empower teams with critical data skills
Data professionals who want to sharpen their data visualization and storytelling skills
Anyone looking to work smarter, earn more, and make more impactful data-driven decisions
What you’ll need
This is an entry-level path (no prerequisites)
Excel 365, ideally on Windows/PC (some functionality may be unavailable on other versions)
Some experience working with Excel or Sheets is helpful, but not required






























