04-28-2026, 06:21 AM
[center]![[Image: d965db2e465b7e91d1839ba6b07d4052.jpg]](https://i127.fastpic.org/big/2026/0428/52/d965db2e465b7e91d1839ba6b07d4052.jpg)
Demand Planning & Forecasting For Supply Chain
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.82 GB | Duration: 11h 28m
Build real-world forecasts, measure accuracy (MAPE, Bias), and create dashboards using Excel, Power Query & Power BI[/center]
What you'll learn
Build a fully automated demand forecasting model in Excel using real-world supply chain data
Apply forecasting techniques including moving averages, time series (ETS), and regression models
Measure and improve forecast accuracy using MAPE, Mean Absolute Error, and Bias
Create interactive Power BI dashboards to monitor forecast performance across products and time
Analyze forecast performance and identify drivers of error and bias
Write DAX measures to calculate accuracy metrics and enable dynamic forecast analysis
Clean and transform data using Power Query for scalable and automated forecasting workflows
Requirements
Basic familiarity with Microsoft Excel formulas
Description
In many organizations, demand planning still faces a few common challenges:Forecasts are often built in Excel, but lack structure and consistencyAccuracy is measured inconsistently, or not tracked in a meaningful wayComparing forecast cycles and understanding changes is difficultDecision-making is often driven by intuition rather than dataThis course is designed to address these challenges in a practical and structured way.What makes this course different?This is not a theory-heavy course.And it's not just a collection of Excel formulas either.This is a complete, real-world demand planning workflow.By the end of this course, you will be able to:Build structured forecasts in ExcelEvaluate forecast performance using real metrics (MAPE, MAE, Bias)Understand what's driving forecast errorsCompare different forecast versions and cyclesCreate interactive dashboards in Power BI for decision-makingYou won't just "learn forecasting" - you'll learn how to actually do it in a real business environment.What you'll learn in this courseThis course is structured to take you from foundations → practical execution → advanced analysis.1. Demand Planning FundamentalsWhat demand planning really is (beyond definitions)Forecast cycles and governance in real companiesHow forecasts are used in business decisions2. Forecasting Techniques in ExcelExtrapolation and growth-based forecastingMoving averages (short-term vs long-term)Time series forecasting (ETS)Regression-based forecasting (including promotions & pricing impact)3. Build a Fully Automated Forecasting Model in ExcelOne of the most powerful parts of this course.You will build a dynamic, automated forecasting model where:You simply input actual sales dataSelect forecasting techniques for different productsThe model automatically generates forecastsYou'll learn how to:Structure models for scalabilityApply different forecasting methods dynamicallyDesign a system that works across multiple SKUs and time periodsThis is not just learning formulas - this is building a real forecasting engine.4. Measuring Forecast AccuracyForecast ErrorMean Absolute Error (MAE)Mean Absolute Percentage Error (MAPE)Weighted MAPE (WAPE)Bias and why it mattersYou'll also learn when each metric should be used-something most courses don't cover properly.5. Data Transformation with Power QueryClean and prepare messy dataCombine multiple files dynamicallyBuild scalable data modelsThis is where your work becomes automated and repeatable.6. Power BI Dashboards & DAX for Forecast AnalysisYou won't just build dashboards-you'll understand how they work.You will learn:How to visualize forecast vs actuals effectivelyHow to analyze accuracy across products, customers, and timeHow to track bias and error patternsAnd importantly:Build powerful calculations using DAX (Data Analysis Expressions)Create dynamic measures for accuracy, comparisons, and insightsControl filter context to design flexible, interactive dashboardsDAX is taught in a practical, step-by-step way, so even beginners can follow along.Why this course is practical (and not just theoretical)Realistic datasets (not overly simplified examples)Step-by-step walkthroughs of actual workflowsExercises and solved examples to reinforce learningQuizzes to test your understandingFocus on how things work in real companiesWho this course is forThis course is beginner-friendly, but designed to take you to a job-ready level.It is ideal for:Aspiring demand plannersSupply chain professionalsBusiness analysts and data analystsFinance professionals working with forecastsExcel users who want to apply their skills in real-world scenariosTeaching styleThis course is designed to respect your time:Short, focused lessonsClear and simple explanationsNo unnecessary theory or fluffStrong focus on practical understandingThe end resultBy the end of this course, you will have:A complete understanding of how demand planning worksThe ability to build and evaluate forecasts independentlyHands-on experience with Excel, Power Query, and Power BIA practical skillset you can apply immediately in your jobIf you want to go beyond theory and actually build real forecasting solutions.This course is for you.
Aspiring demand planners who want to build practical forecasting skills,Supply chain professionals looking to improve forecast accuracy and decision-making,Business and data analysts working with sales, demand, or planning data,Finance professionals (FP&A) involved in budgeting, forecasting, and performance analysis,Beginners who want to learn demand planning using a structured, step-by-step approach,Excel and Power BI users who want to apply their skills to real-world forecasting and analytics
Demand Planning & Forecasting For Supply Chain
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.82 GB | Duration: 11h 28m
Build real-world forecasts, measure accuracy (MAPE, Bias), and create dashboards using Excel, Power Query & Power BI[/center]
What you'll learn
Build a fully automated demand forecasting model in Excel using real-world supply chain data
Apply forecasting techniques including moving averages, time series (ETS), and regression models
Measure and improve forecast accuracy using MAPE, Mean Absolute Error, and Bias
Create interactive Power BI dashboards to monitor forecast performance across products and time
Analyze forecast performance and identify drivers of error and bias
Write DAX measures to calculate accuracy metrics and enable dynamic forecast analysis
Clean and transform data using Power Query for scalable and automated forecasting workflows
Requirements
Basic familiarity with Microsoft Excel formulas
Description
In many organizations, demand planning still faces a few common challenges:Forecasts are often built in Excel, but lack structure and consistencyAccuracy is measured inconsistently, or not tracked in a meaningful wayComparing forecast cycles and understanding changes is difficultDecision-making is often driven by intuition rather than dataThis course is designed to address these challenges in a practical and structured way.What makes this course different?This is not a theory-heavy course.And it's not just a collection of Excel formulas either.This is a complete, real-world demand planning workflow.By the end of this course, you will be able to:Build structured forecasts in ExcelEvaluate forecast performance using real metrics (MAPE, MAE, Bias)Understand what's driving forecast errorsCompare different forecast versions and cyclesCreate interactive dashboards in Power BI for decision-makingYou won't just "learn forecasting" - you'll learn how to actually do it in a real business environment.What you'll learn in this courseThis course is structured to take you from foundations → practical execution → advanced analysis.1. Demand Planning FundamentalsWhat demand planning really is (beyond definitions)Forecast cycles and governance in real companiesHow forecasts are used in business decisions2. Forecasting Techniques in ExcelExtrapolation and growth-based forecastingMoving averages (short-term vs long-term)Time series forecasting (ETS)Regression-based forecasting (including promotions & pricing impact)3. Build a Fully Automated Forecasting Model in ExcelOne of the most powerful parts of this course.You will build a dynamic, automated forecasting model where:You simply input actual sales dataSelect forecasting techniques for different productsThe model automatically generates forecastsYou'll learn how to:Structure models for scalabilityApply different forecasting methods dynamicallyDesign a system that works across multiple SKUs and time periodsThis is not just learning formulas - this is building a real forecasting engine.4. Measuring Forecast AccuracyForecast ErrorMean Absolute Error (MAE)Mean Absolute Percentage Error (MAPE)Weighted MAPE (WAPE)Bias and why it mattersYou'll also learn when each metric should be used-something most courses don't cover properly.5. Data Transformation with Power QueryClean and prepare messy dataCombine multiple files dynamicallyBuild scalable data modelsThis is where your work becomes automated and repeatable.6. Power BI Dashboards & DAX for Forecast AnalysisYou won't just build dashboards-you'll understand how they work.You will learn:How to visualize forecast vs actuals effectivelyHow to analyze accuracy across products, customers, and timeHow to track bias and error patternsAnd importantly:Build powerful calculations using DAX (Data Analysis Expressions)Create dynamic measures for accuracy, comparisons, and insightsControl filter context to design flexible, interactive dashboardsDAX is taught in a practical, step-by-step way, so even beginners can follow along.Why this course is practical (and not just theoretical)Realistic datasets (not overly simplified examples)Step-by-step walkthroughs of actual workflowsExercises and solved examples to reinforce learningQuizzes to test your understandingFocus on how things work in real companiesWho this course is forThis course is beginner-friendly, but designed to take you to a job-ready level.It is ideal for:Aspiring demand plannersSupply chain professionalsBusiness analysts and data analystsFinance professionals working with forecastsExcel users who want to apply their skills in real-world scenariosTeaching styleThis course is designed to respect your time:Short, focused lessonsClear and simple explanationsNo unnecessary theory or fluffStrong focus on practical understandingThe end resultBy the end of this course, you will have:A complete understanding of how demand planning worksThe ability to build and evaluate forecasts independentlyHands-on experience with Excel, Power Query, and Power BIA practical skillset you can apply immediately in your jobIf you want to go beyond theory and actually build real forecasting solutions.This course is for you.
Aspiring demand planners who want to build practical forecasting skills,Supply chain professionals looking to improve forecast accuracy and decision-making,Business and data analysts working with sales, demand, or planning data,Finance professionals (FP&A) involved in budgeting, forecasting, and performance analysis,Beginners who want to learn demand planning using a structured, step-by-step approach,Excel and Power BI users who want to apply their skills to real-world forecasting and analytics
Code:
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