Introduction to Supply Chain Analytics using Microsoft Excel
Your first steps in descriptive, predictive and prescriptive analytics to solve your toughest supply chain problems
4.57 (1833 reviews)
7 480
students
5 hours
content
Apr 2025
last update
$84.99
regular price
What you will 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
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Our Verdict
Comprehensive introduction to supply chain analytics techniques but lacking real-world context and tailored examples for the domain. The instructor's knowledge and engagement are commendable, as are the Excel-based exercises which provide hands-on practice in applying various statistical tools. However, a more scenario-driven approach would be helpful in cementing these concepts to supply chain management contexts.\n Consider enhancing this course with actual case studies and metrics relevant to daily supply chain operations for higher impact and applicability in learners' careers.
What We Liked
- Wide range of supply chain analytics techniques covered, from descriptive to predictive and prescriptive analytics
- Practical approach with numerous exercises using Microsoft Excel for illustration and problem-solving
- Instructor is knowledgeable in the field and provides clear explanations of complex concepts
- Helpful engagement from instructor as evident in prompt responses to questions and concerns
Potential Drawbacks
- Course title can be misleading since there isn't enough focus on supply chain compared to other analytics techniques
- Lack of real-world case studies or examples tailored to the supply chain domain
- Information presented in a data dump fashion rather than being woven into scenarios, resulting in unclear application of concepts
- Technical issues like audio mutes and Udemy's platform limitations affecting user experience
Related Topics
4109922
udemy ID
08/06/2021
course created date
29/06/2021
course indexed date
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