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Introduction to Supply Chain Analytics using Microsoft Excel

Learn supply chain analytics with Excel: forecasting, optimization, and data-driven decisions without complex math

$9.99 (94% OFF)
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About This Course

<div>Learn the analytical tools that drive better decisions in supply chain and operations—without needing advanced math or specialized software. This practical, Excel-based course has helped over 7,300 students build real-world skills in analytics.</div><div><br></div><div>4.7 stars average rating</div><div>1,000+ five-star reviews</div><div>Designed for professionals in supply chain, inventory, or operations roles</div><div>Practice with Excel-based downloadable exercises</div><div><br></div><div>Why Take This Course?</div><div><br></div><div>Analytics and supply chain management are two of the most in-demand skills in today’s job market. This course helps you build capability in three key areas:</div><div><br></div><div>Descriptive Analytics – What happened?</div><div><ul><li>Parametric and nonparametric statistics</li><li><span style="font-size: 1rem;">Measures of central tendency and dispersion</span></li><li><span style="font-size: 1rem;">Process capability using the normal distribution</span></li><li><span style="font-size: 1rem;">Calculating process yield</span></li><li><span style="font-size: 1rem;">Combining normal random variables</span></li><li><span style="font-size: 1rem;">Practical applications in manufacturing and inventory</span></li></ul></div><div><span style="font-size: 1rem;">Predictive Analytics – What will happen?</span></div><div><ul><li><span style="font-size: 1rem;">Time series basics</span></li><li><span style="font-size: 1rem;">Building linear regression models in Excel</span></li><li><span style="font-size: 1rem;">Seasonality and trend analysis</span></li><li><span style="font-size: 1rem;">Forecasting techniques using real data</span></li><li><span style="font-size: 1rem;">Excel Data Analysis Add-in walkthroughs</span></li></ul></div><div><span style="font-size: 1rem;">Prescriptive Analytics – What should we do?</span></div><div><ul><li>Introduction to optimization and mathematical programming</li><li><span style="font-size: 1rem;">Excel’s Solver Add-in step-by-step</span></li><li><span style="font-size: 1rem;">Objective functions, constraints, and real-world modeling</span></li><li><span style="font-size: 1rem;">Economic Order Quantity (EOQ)</span></li><li><span style="font-size: 1rem;">Policy-driven models and product mix problems</span></li></ul></div><div><span style="font-size: 1rem;">What You’ll Get:</span></div><div><ul><li><span style="font-size: 1rem;">5+ hours of instructor-led content</span></li><li><span style="font-size: 1rem;">Step-by-step walkthroughs in Microsoft Excel</span></li><li><span style="font-size: 1rem;">Downloadable exercises for each major topic</span></li><li><span style="font-size: 1rem;">A 110+ term glossary to reinforce your learning and support continued study</span></li><li><span style="font-size: 1rem;">Lifetime access to the course and all future updates</span></li></ul></div><div><span style="font-size: 1rem;">What Students Are Saying:</span></div><div><br></div><div>“Very great course if you are starting out in the Supply Chain field. Found it very informative and engaging.” – Isabel B.</div><div><br></div><div>“I’ve learned things about inventory I never heard of before. Outstanding course.” – Jerry O.</div><div><br></div><div>“Easy to understand, recommended for beginners. One of the better courses on Udemy.” – Clifford C.</div><div><br></div><div>“Great tools for the Supply Chain professional! Engaging and very knowledgeable of the overall subject.” – Stephanie M.</div><div><br></div><div><span style="font-size: 1rem;">Build Skills That Advance Your Career</span></div><div><br></div><div>Whether you're new to analytics or want to sharpen your decision-making tools, this course will help you:</div><div><ul><li>Understand the numbers behind your supply chain</li><li><span style="font-size: 1rem;">Use Excel to perform real-world analyses</span></li><li><span style="font-size: 1rem;">Communicate more confidently with data</span></li></ul></div><div><span style="font-size: 1rem;">Introduction to Supply Chain Analytics using Microsoft Excel will serve as the starting point to your career in supply chain analytics and management. No intimidating math. No complicated jargon. Just practical analytics for real professionals.</span></div>

What you'll learn:

  • Fundamental tools of descriptive, predictive and descriptive analytics
  • How to answer the questions, "What happened?", "What will happen?", and "What should we do?"
  • Analytical tools for assessing demand forecasts, production outputs and product mix strategies
  • Introductory time series analysis tools
  • Baseline, Trend, Seasonality and Error
  • Linear programming using Excel Solver
  • Statistical tools in Excel like quartiles, the data analysis tool kit, Norminv, linear regression, mathematical programming, and more!
  • How to use the Economic Order Quantity (EOQ)
  • "Launch points" for further study in analytics