Implementing Supply Chain Analytics

This course is part of Unilever Supply Chain Data Analyst Professional Certificate

Instructor: Unilever Team

Skills you'll gain

  •   Python Programming
  •   Technical Communication
  •   Supply Chain
  •   Supply Chain Management
  •   Analytics
  •   Data Presentation
  •   Supply Chain Systems
  •   Advanced Analytics
  •   SQL
  •   Forecasting
  •   Inventory Management System
  •   Supply Chain Planning
  •   Business Analytics
  •   Descriptive Analytics
  •   Data-Driven Decision-Making
  •   Predictive Analytics
  •   Data Analysis
  • There are 4 modules in this course

    By the end of this course, you’ll be able to: Interpret historical data effectively using descriptive analytics. Forecast the most probable outcomes, projects, or future. scenarios, along with their business implications, using predictive analytics. Collaborate and make recommendations that maximize business value, addressing problems through prescriptive analytics. Describe the appropriate communication channels to display and summarize the data results and Supply Chain recommendations. Use supply chain models to evaluate and optimize the flow of goods, information, and sots with a supply chain.

    Data analytics that drive impactful decision making

    Supply chain models: Inventory, Continuous Flow, Fast Chain

    Supply Chain Models: Efficient Chain, Agile, Custom-Configured, Flexible

    Explore more from Data Analysis

    ©2025  ementorhub.com. All rights reserved