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Supply Chain Analyst Course
More than 2 million students worldwide

Supply Chain Analyst Course

Master the analytical skills that supply chain teams rely on every day. This course takes you from foundational concepts to advanced tools — covering forecasting, inventory optimization, procurement analysis, and logistics cost management. If you want to work with real data and deliver recommendations that move the needle, this is where you start.

Dedika for businesses

What you will learn:

You will learn how to collect and clean supply chain data from ERP systems, warehouse platforms, and supplier portals. You will apply statistical forecasting methods, set optimal inventory levels, and measure supplier and carrier performance using industry-standard KPIs. The course covers SQL, Python, and advanced spreadsheet techniques so you can extract and analyze data without depending on IT. You will also learn how to design KPI frameworks, build business cases, and present findings to senior stakeholders. By the end, you will have the full analytical toolkit a supply chain analyst needs to add measurable value from day one.

How you study in practice Supply Chain Analyst Course

How you practice Supply Chain Analyst Course

For companies looking to train their teams

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Course Content

8 Chapters • 35 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Supply Chain Management

  • Lesson 1 • Supply Chain Trade-offs and Objectives

    Explains the cost-service-risk triangle that governs every supply chain decision. Prepares analysts to frame recommendations within business constraints.

  • Lesson 2 • Core Supply Chain Processes

    Introduces the Plan-Source-Make-Deliver-Return framework as a process lens. Links each process to measurable business outcomes.

  • Lesson 3 • Key Roles and Stakeholders

    Identifies internal and external actors and their decision rights. Clarifies how analyst outputs serve each stakeholder group.

  • Lesson 4 • Supply Chain Structure and Scope

    Defines the boundaries of a supply chain from raw material to end consumer. Establishes the vocabulary used throughout the course.

Chapter 2See details

Data Collection and Management for Analysts

  • Lesson 1 • Building and Maintaining Data Pipelines

    Introduces repeatable workflows that refresh datasets automatically. Reduces manual effort and ensures analyses stay current.

  • Lesson 2 • Data Quality Assessment

    Teaches methods to detect and quantify data quality issues before analysis. Poor data quality is the leading cause of flawed supply chain decisions.

  • Lesson 3 • Data Cleaning and Transformation

    Covers practical techniques to standardize and reshape raw data into analysis-ready formats. Builds the preprocessing habits that underpin all subsequent analytical work.

  • Lesson 4 • Supply Chain Data Sources

    Maps the primary internal and external data sources analysts encounter. Connects data origin to its analytical use case.

Chapter 3See details

Analytical Tools and Techniques

  • Lesson 1 • Data Visualization Best Practices

    Teaches how to choose and design charts that communicate supply chain insights clearly. Effective visuals accelerate stakeholder decision-making.

  • Lesson 2 • Statistical Analysis Fundamentals

    Covers descriptive and inferential statistics relevant to supply chain data. Provides the mathematical foundation for forecasting and performance analysis.

  • Lesson 3 • Introduction to SQL for Analysts

    Provides hands-on SQL skills for querying operational databases. Enables analysts to extract custom datasets without relying on IT teams.

  • Lesson 4 • Spreadsheet Mastery for Supply Chain

    Builds advanced spreadsheet skills applied directly to supply chain scenarios. Spreadsheets remain the most common analyst tool across industries.

  • Lesson 5 • Python and R for Supply Chain Analysis

    Introduces scripting languages for automating repetitive analytical tasks. Extends analyst capability beyond spreadsheet limitations.

Chapter 4See details

Demand Planning and Forecasting

  • Lesson 1 • Forecast Accuracy Measurement

    Teaches standard error metrics and how to use them to improve forecast processes. Accuracy measurement closes the feedback loop in demand planning.

  • Lesson 2 • Demand Patterns and Segmentation

    Identifies the demand behaviors that determine which forecasting method to apply. Segmentation prevents one-size-fits-all errors.

  • Lesson 3 • Quantitative Forecasting Methods

    Covers time-series models from simple averages to exponential smoothing and regression. Builds the technical toolkit for statistical demand planning.

  • Lesson 4 • Collaborative Forecasting Processes

    Explains how to integrate market intelligence and sales input into statistical forecasts. Combines quantitative rigor with qualitative business knowledge.

Chapter 5See details

Inventory Analysis and Optimization

  • Lesson 1 • Safety Stock and Service Level Analysis

    Quantifies the buffer stock needed to achieve target service levels under uncertainty. Links safety stock decisions to customer experience metrics.

  • Lesson 2 • Inventory Segmentation and Rationalization

    Applies ABC-XYZ and other segmentation frameworks to prioritize inventory management effort. Identifies candidates for elimination or consolidation.

  • Lesson 3 • Inventory Fundamentals and Costs

    Defines inventory types and the full cost of holding, ordering, and stocking out. Establishes the economic logic behind every inventory decision.

  • Lesson 4 • Inventory Performance Metrics

    Defines and calculates the KPIs used to track inventory efficiency over time. Enables analysts to build inventory scorecards for management review.

  • Lesson 5 • Replenishment Models and Policies

    Covers EOQ, reorder point, and periodic review models with worked examples. Connects model choice to demand variability and lead time characteristics.

Chapter 6See details

Procurement and Supplier Analysis

  • Lesson 1 • Spend Analysis and Category Management

    Teaches how to cleanse, classify, and analyze procurement spend data. Spend visibility is the prerequisite for any sourcing strategy.

  • Lesson 2 • Supplier Performance Measurement

    Defines and tracks KPIs that assess supplier quality, delivery, and responsiveness. Performance data drives supplier development and contract decisions.

  • Lesson 3 • Bid Evaluation and Total Cost Analysis

    Structures the quantitative comparison of supplier bids beyond unit price. Total cost of ownership reveals the true cost of sourcing decisions.

  • Lesson 4 • Supplier Market Assessment

    Evaluates supply market structure, concentration, and competitive dynamics. Informs negotiation strategy and make-vs.-buy decisions.

Chapter 7See details

Logistics and Transportation Analysis

  • Lesson 1 • Carrier Performance Analysis

    Measures carrier reliability, transit time, and damage rates using shipment data. Carrier scorecards support contract negotiations and routing decisions.

  • Lesson 2 • Freight Cost Analysis and Benchmarking

    Breaks down freight invoices and compares rates against market benchmarks. Cost visibility enables targeted negotiation and mode optimization.

  • Lesson 3 • Network Design Fundamentals

    Introduces the analytical framework for evaluating warehouse and distribution center placement. Network structure determines the baseline cost and service capability.

  • Lesson 4 • Transportation Modes and Cost Drivers

    Compares freight modes on cost, speed, capacity, and reliability dimensions. Mode selection is the first lever in logistics cost reduction.

Chapter 8See details

Supply Chain Performance and Strategic Analysis

  • Lesson 1 • Root Cause and Variance Analysis

    Applies structured problem-solving tools to diagnose performance deviations. Moves analysts from describing problems to identifying actionable causes.

  • Lesson 2 • KPI Framework Design

    Builds a balanced set of supply chain metrics aligned to business strategy. A well-designed KPI framework prevents metric gaming and misalignment.

  • Lesson 3 • Building the Improvement Business Case

    Teaches analysts to quantify benefits, estimate costs, and present investment proposals. A compelling business case converts analysis into funded action.

  • Lesson 4 • Benchmarking and Competitive Analysis

    Compares internal performance against industry peers using structured benchmarking methods. Benchmarking identifies performance gaps and prioritizes improvement efforts.

  • Lesson 5 • Continuous Improvement Methodologies

    Introduces Lean and Six Sigma concepts applied to supply chain processes. Provides the improvement toolkit analysts use to sustain performance gains.

Certification

Your valid completion certificate

This course is for you:

  • Operations coordinator: ready to move into a dedicated analyst role.

  • Recent business graduate: seeking a data-focused entry point in supply chain.

  • Procurement assistant: wanting to back sourcing recommendations with hard numbers.

  • Logistics coordinator: looking to quantify costs and influence network decisions.

  • Career changer from finance: bringing analytical instincts to a new operational domain.

  • Inventory planner: aiming to replace gut-feel decisions with rigorous modeling skills.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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