Data Literacy Level 2: The WISDOM Framework for Data Analysis
Transform Raw Data into Actionable Insights and Decisions
Learn how to transform raw data into actionable insights using the WISDOM Framework for Data Analysis. Master a flexible, tool-agnostic process for working with data — from asking worthwhile questions to communicating findings that drive decisions.
About this course
Data Literacy Level 2 teaches you how to transform raw data into actionable insights using the WISDOM Framework for Data Analysis. This course is for professionals who want to move beyond simply reading charts to independently analyzing data and making data-driven decisions. This course will empower you to master a flexible, tool-agnostic process for working with data — from making observations and asking worthwhile questions (The WONDER Phase), to preparing and structuring data (The SHAPE Phase), conducting analysis to uncover insights (The DISCOVER Phase), and effectively communicating findings to drive decisions (The MATURE Phase). You'll gain practical skills in data preparation, visualization, statistical analysis, and data storytelling that you can apply regardless of which tools your organization uses. **What you'll learn:** - The WONDER Phase: Making observations, asking worthwhile questions, forming hypotheses, and gathering relevant data - The SHAPE Phase: Exploring data contours, identifying shortcomings, and preparing data with pivots, joins, aggregations, and unions - The DISCOVER Phase: Analyzing data using visualization techniques and statistical methods to determine practical and statistical significance - The MATURE Phase: Crafting impactful data presentations, gathering audience feedback, and implementing data-driven decisions Taught by Ben Jones — author of Read, Write, Think Data — this course takes you through four lessons that each focus on a specific phase of the WISDOM framework, equipping you with the skills to confidently work with data regardless of what tools you have available. Includes a free digital copy of the companion book Read, Write, Think Data by course instructor Ben Jones.
What you'll cover
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