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Microsoft Power BI ModuleFeature
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Go beyond basic and intermediate Excel and learn to analyze data like a professional. Students start with advanced functions, PivotTables, and dashboards, then move into optimization, simulation, and statistical and predictive modeling, including A/B testing, regression, classification, clustering, and time series. Students also use Excel for text classification, such as filtering spam. Every assignment is hands-on in the live Microsoft Excel environment and graded automatically with detailed feedback, supported by step-by-step video instruction and practice problems with hints.
Introduction: Device and Environment Setup Introduction to the Book: Data Analysis with Excel Lesson 1: Conditional Aggregate Functions Lesson 2: Referencing Functions and Date Functions Lesson 3: Conditional Formatting Variations Lesson 4: Multidimensional Analysis Using PivotTables Lesson 5: Advanced Visualization Lesson 6: Building Dashboards in Excel Lesson 7: Power Query and Power Pivot—Microsoft Windows Only Lesson 8: Optimization Using Solver in Excel Lesson 9: Simulation in Excel Lesson 10: Exploratory Data Analysis and Basic Probability Distributions Lesson 11: Inferential Statistics: A/B and A/B/C Tests Lesson 12: Prediction Using Linear and Multiple Regression Lesson 13: Predicting Class Using Logistic Regression Lesson 14: Predicting Class Using the Naïve Bayes Classifier Lesson 15: Grouping Objects Using Cluster Analysis Lesson 16: Forecasting: Time Series Lesson 17: Nonparametric Statistical Tests A1: Appendix
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