Introduction to Supply Chain Analytics using Microsoft Excel
Why take this course?
🎉 Welcome to Your Analytics Journey! 🎉
Introduction to Supply Chain Analytics using Microsoft Excel
Are you ready to dive into the fascinating world of supply chain analytics? With the demand for supply chain and analytic skills soaring, this course is your gateway to mastering these critical competencies. Ray Harkins, an expert from The Manufacturing Academy, will guide you through the essentials of descriptive, predictive, and prescriptive analytics within the familiar and versatile platform of Microsoft Excel.
Your Learning Adventure Awaits:
Descriptive Analytics:
Understand the foundational aspects of data analysis by learning how to:
- 📊 Explore parametric and nonparametric statistics.
- 📈 Calculate measures of central tendency and dispersion.
- 📉 Utilize the normal distribution to describe processes.
- 🔄 Combine normal random variables for a comprehensive view.
- ⚙️ Calculate process yield effectively.
- 🧠 Grasp practical applications that bring descriptive analytics to life.
Predictive Analytics:
Discover the secrets behind forecasting with these key learning points:
- 🕰️ Master the basics of time series analysis.
- 📊 Build a linear regression model using Excel's powerful tools.
- ⏱️ Calculate seasonality and incorporate it into your models.
- 📉 Combine baseline, trend, and seasonality to create accurate forecasts.
- 🛠️ Utilize the Excel Data Analysis Add-in for advanced analysis.
- 💡 Explore real-life applications of time series forecasting.
Prescriptive Analytics:
Unlock the potential of mathematical programming and optimization with:
- 🧮 Learn the fundamentals of mathematical programming.
- 🎯 Understand how to use Excel's Solver Add-in for problem solving.
- 📊 Build data models with objective functions and constraints.
- 💰 Discover the Economic Order Quantity (EOQ) to cut Total Inventory Costs.
- 📈 Integrate management policies into your linear programs.
- 🧩 Apply linear programming to solve classic problems like product mix optimization.
Hands-On Learning Experience:
For each analytics type, you'll have the opportunity to put your new skills into practice with downloadable Excel-based exercises that cover all the key tools and techniques. This ensures that you don't just learn theoretically but also gain practical experience.
Why Choose This Course?
This course serves as a comprehensive starting point for those looking to advance their analytical problem-solving skills within the supply chain domain. You don't need to be intimidated by statistics or heavy math—Ray will guide you at a comfortable pace that is accessible to professionals of all levels.
Student Testimonials:
Don't just take our word for it, here's what Udemy students have to say about "Introduction to Supply Chain Analytics using Microsoft Excel":
- 🌟 "Very great course if you are starting out in the Supply Chain field. Found it very informative and engaging." - Isabel B.
- 🌟 "The course was outstanding, I've learnt things about inventory that I never heard of before." - Jerry O.
- 🌟 "A well-designed course... Very helpful to start learning Supply Chain diagnostics. Thank you, Ray!" - Nakul T.
- 🌟 "It's my first course about supply chain analytics and I love it! Easy to understand, recommended for beginners." - Haidar A.
- 🌟 "One of the best courses I have taken on Udemy." - Laxman S.
- 🌟 "Great tools for the Supply Chain professional! Engaging and very knowledgeable of the overall subject." - Stephanie M.
- 🌟 "I love how topics are being explained in a very understandable manner. Attended a few Udemy courses and this is one of the better ones. Kudos." - Clifford C.
- 🎉 Over 400 5-star Reviews!! 🎉
Sign up today to embark on your analytics adventure with "Introduction to Supply Chain Analytics using Microsoft Excel" and transform the way you approach problem-solving within the supply chain ecosystem. Let's unlock your potential together! 🚀📊💡
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Comidoc Review
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