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Learn comprehensive business analytics techniques using Excel through this extensive 19-hour course covering statistical analysis, data modeling, and advanced forecasting methods. Master spreadsheet model design principles and what-if analysis tools including Goal Seek, data tables, and scenario planning for business decision-making. Explore Excel's data analysis capabilities through sorting, filtering, pivot tables, and the Data Analysis Add-in for creating frequency distributions and histograms. Develop proficiency in statistical concepts including measures of central tendency, variability, probability distributions, percentiles, and the empirical rule using Excel's built-in functions. Gain hands-on experience with Power Query for importing, cleaning, and transforming data from multiple sources including text files, CSV files, Excel workbooks, and web sources. Discover Power Pivot and Data Model functionality for handling large datasets exceeding traditional Excel limits, including DAX formulas and relationship management between tables. Apply data visualization best practices for creating effective charts and reports that communicate insights clearly to stakeholders. Understand linear regression analysis including simple and multiple regression, correlation, covariance, significance testing, and using LINEST functions for predictive modeling. Master time series analysis and forecasting techniques including trend analysis, seasonal patterns, and various forecasting methods with error measurement. Learn linear programming optimization using Excel Solver for maximizing profits, minimizing costs, resource allocation, and portfolio optimization problems. Implement Monte Carlo simulation techniques for risk analysis and decision-making under uncertainty using random variables and probability distributions. Practice real-world business problem-solving through comprehensive case studies demonstrating multiple analytical approaches for the same business challenge.
