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Data Management and Visualization

Core Learning Objectives

Data Collection & Privacy Strategy: Master primary data gathering methods—such as surveys, observational studies, and third-party inputs—while implementing strict protocols for data privacy, confidentiality, and handling Personally Identifiable Information (PII) safely.
Data Manipulation & Functions: Gain practical fluency in Google Sheets by leveraging core-to-advanced functions and formulas to clean, transform, and structure datasets. (Includes deeper application of foundational workshop concepts).
Analysis & Unbiased Interpretation: Analyze complex datasets to extract actionable insights, identify logical fallacies, and detect or eliminate bias in flawed data.
Data Automation: Learn foundational automation techniques to streamline data workflows, reduce manual effort, and minimize human error.
Data Visualization & Dashboard Design: Translate raw metrics into clear visual stories by creating dynamic charts, KPI trackers, P&L statements, and executive dashboards.