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IT Project ManagementResource
Microsoft Power BI ModuleFeature
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AI can produce a forecast in seconds, but only analysts who understand the logic underneath can tell whether to trust it. This resource builds that understanding in Excel, where students see the inner workings of core models instead of treating them as black boxes. With business understanding at its core, students learn the four types of analytics, then work through business intelligence, data warehousing, statistical modeling, forecasting, optimization, simulation, data mining, and natural language processing, applied across marketing, finance, and operations. Throughout, AI enhances and externally validates their solutions, and the resource closes with AI tools and ethics, preparing students to use AI with both confidence and judgment.
Chapter 1: Foreword Chapter 2: An Overview of Business Intelligence, Analytics, and Big Data Chapter 3: Business Intelligence and Data Warehousing Chapter 4: Marketing, Accounting/Finance, and Operations Principles Chapter 5: Nature of Data and Statistical Modeling Chapter 6: Forecasting, Optimization, and Simulation Chapter 7: Data Mining Process, Methods, and Algorithms Chapter 8: Natural Language Processing Chapter 9: Artificial Intelligence Tools and Ethics
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