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Supply Chain Analytics 2026: Excel, Dashboards & Forecasting
Rating: 4.7 out of 5(100 ratings)
1,444 students

Supply Chain Analytics 2026: Excel, Dashboards & Forecasting

Build demand forecasts, inventory dashboards and KPI reports in Excel with Power Query and real supply data
Created byNavdeep Yadav
Last updated 10/2025
English
English [Auto],

What you'll learn

  • Understand the fundamentals of supply chains and their key functions
  • Learn how supply chains drive business efficiency and customer satisfaction
  • Define supply chain analytics and its role in modern business
  • Explore the benefits of analytics for decision-making and performance improvement
  • Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics
  • Apply descriptive analytics to analyze historical supply chain data
  • Build predictive models to forecast demand and supply variations
  • Apply prescriptive analytics to recommend data-driven solutions
  • Understand demand management and the causes of demand variability
  • Learn step-by-step demand management processes with real examples
  • Get introduced to time series analysis and its applications in forecasting
  • Identify and analyze key components of time series (trend, seasonality, noise)
  • Detect seasonal and trend patterns in real business datasets
  • Perform forecasting using weighted moving averages and rolling averages
  • Forecast disruptions in manufacturing supply chains using analytics tools

Course content

4 sections • 22 lectures • 1h 59m total length

  • What is a Supply Chain?6:30

    Explore the fundamentals of supply chain and operations management, using a simple apple-from-farm story to illustrate key metrics like on-time delivery, inventory, and cost per delivery.

  • Functions in Supply Chain5:46

    Explore how procurement, manufacturing, logistics, and fulfillment drive retail supply chains, with planning, coordination, reverse logistics, returns and repair, and key stakeholders like vendors and distributors.

Requirements

  • Basic knowledge of business operations or management concepts
  • Familiarity with Microsoft Excel or Google Sheets for data handling
  • A computer with internet access to complete assignments and case studies

Description

Every product you buy, from groceries to smartphones, has traveled through a complex web of suppliers, warehouses, logistics providers, and retailers.

This interconnected system is known as the supply chain, and it is the lifeline of global commerce. Yet, in today’s fast-paced and uncertain world, traditional supply chain management is no longer enough. Companies must harness the power of data and analytics to stay competitive, resilient, and efficient.

This course, Supply Chain Analytics: From Fundamentals to Forecasting, is designed to give you a complete, step-by-step journey into the world of supply chain data analysis. Whether you’re new to supply chain concepts or looking to deepen your expertise, this program will guide you from the basics of supply chain operations all the way to advanced techniques such as predictive forecasting and prescriptive modeling.

We start by laying a strong foundation—exploring what supply chains are, why they matter, and how different functions such as procurement, manufacturing, distribution, and logistics come together to deliver value. Once the fundamentals are clear, we dive into supply chain analytics, breaking it down into the four pillars: descriptive, diagnostic, predictive, and prescriptive analytics. Each of these will be explained with real-world examples so you not only understand the concepts but also see how they apply to business problems.

One of the highlights of this course is our deep focus on demand management and forecasting. You will learn how to identify the causes of demand variation, apply time series analysis, detect seasonality and trends, and use techniques like weighted moving averages to make reliable forecasts. We’ll also cover essential performance metrics such as MAPE, MAD, and RMSE, ensuring you can evaluate forecast accuracy with confidence.

To bridge the gap between theory and practice, this course includes hands-on assignments and a case study where you’ll forecast disruptions in a manufacturing supply chain. This practical exposure will sharpen your analytical thinking and give you skills that can be applied directly in the workplace.

Whether you are a student eager to build a career in supply chain or analytics, a professional working in logistics, procurement, or operations, or a business leader looking to optimize your company’s performance, this course is tailored to help you gain confidence in applying analytics to one of the most critical areas of business today.

By the end of this course, you will:

  • Gain clarity on how supply chains function at every level.

  • Understand the true role of analytics in driving smarter decisions.

  • Develop the ability to analyze, forecast, and optimize supply chains using data-driven methods.

  • Build confidence to handle real-world business challenges in logistics, operations, or manufacturing.

Whether you are a student aspiring to enter the field, a professional looking to upgrade your skills, or an entrepreneur seeking to streamline your business operations, this course will empower you with practical, job-ready skills in supply chain analytics.

Who this course is for:

  • Students studying supply chain, business, or data analytics
  • Professionals working in logistics, procurement, or operations
  • Data enthusiasts who want to apply analytics to real-world supply chain challenges
  • Entrepreneurs and managers seeking to optimize their business operations
  • Anyone curious about how data can transform supply chain performance

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