{"product_id":"visual-analytics-with-excel","title":"Visual Analytics with Excel","description":"\u003cdiv\u003e\n\u003cp\u003eData doesn’t speak for itself, but with the right visuals, it can tell a story that drives real decisions. This two-day, hands-on course teaches participants how to unlock the full power of Microsoft Excel for visual data analytics. Through practical exercises and real-world examples, learners will explore foundational visualization principles, advanced charting techniques, interactive dashboards, and even AI-supported analysis.\u003c\/p\u003e\r\n\u003cp\u003eBy the end of the course, participants will know how to design clear, accurate, and engaging visuals; build dynamic dashboards; interpret patterns and insights; and confidently present data-driven stories to stakeholders.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eVisual Analytics with Excel Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTransform raw data into compelling visual narratives using Excel’s full suite of charting, formatting, and dashboarding tools.\u003c\/li\u003e\n\u003cli\u003eLearn both the “why” and the “how” by combining strong visualization theory with step-by-step, real-world practice.\u003c\/li\u003e\n\u003cli\u003eBuild polished dashboards that highlight trends, outliers, and insights for business decision-making.\u003c\/li\u003e\n\u003cli\u003eAvoid common visualization mistakes and learn to design visuals that are accurate, intuitive, and trustworthy.\u003c\/li\u003e\n\u003cli\u003eUnderstand how AI fits into Excel workflows and how to structure data for AI-driven analysis and insights.\u003c\/li\u003e\n\u003cli\u003eBoost confidence and credibility when presenting charts, dashboards, and data stories to colleagues and leadership.\u003cb\u003e \u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eImportant Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003ePrerequisites\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic knowledge of Excel (data entry, formulas) highly recommended but not required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eVisual Analytics with Excel Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp data-pm-slice=\"1 1 []\"\u003e\u003cstrong\u003eChapter 1: Understanding Visual Data Analytics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine Data Analytics\u003c\/li\u003e\n\u003cli\u003eDiscuss the relationship between Data Analytics and decision-making\u003c\/li\u003e\n\u003cli\u003eReview the fundamentals of data visualization\u003c\/li\u003e\n\u003cli\u003eIdentify the data processing chain used in data mining\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 2: Excel and Power Query Clean, Structure, and Use Data\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImport and transform data with Power Query\u003c\/li\u003e\n\u003cli\u003eStructure data with Power Pivot\u003c\/li\u003e\n\u003cli\u003eCreate queries or data tables in Excel\u003c\/li\u003e\n\u003cli\u003eWork with the basics of data manipulation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 3: Using AI for Data Analysis with MS365 Copilot\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduce AI\u003c\/li\u003e\n\u003cli\u003eDiscuss the benefits and drawback of using AI\u003c\/li\u003e\n\u003cli\u003eUse AI with Excel Dashboards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 4: Using Excel’s Charting Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of Excel Charting\u003c\/li\u003e\n\u003cli\u003eDiscuss Chart types and usage\u003c\/li\u003e\n\u003cli\u003eCreate Excel charts\u003c\/li\u003e\n\u003cli\u003eEdit charts using chart items\u003c\/li\u003e\n\u003cli\u003eModify colors and styles for clarity\u003c\/li\u003e\n\u003cli\u003eWork with data series\u003c\/li\u003e\n\u003cli\u003eConsider chart templates\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 5: Visual Analytics for Decision Making\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHighlight use of trends and outliers\u003c\/li\u003e\n\u003cli\u003eCreate time series visualizations\u003c\/li\u003e\n\u003cli\u003eLeverage conditional formatting\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 6: Dashboards in Excel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReview principles of dashboard design\u003c\/li\u003e\n\u003cli\u003eIntegrate multiple charts and data sources\u003c\/li\u003e\n\u003cli\u003eCreate interactive elements\u003c\/li\u003e\n\u003cli\u003eBuild a functional dashboard\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 7: Course Summary\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267C92US \/ 2026-07-13T09:00:00 \/ Herndon, 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