What you'll 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
Many industry analyst predict that both supply chain management and analytics will be among the most in-demand workplace skills the coming years. This class, "Introduction to Supply Chain Analytics using Microsoft Excel" will teach you many of the fundamental tools of descriptive (What happened?), predictive (What will happen?), and prescriptive (What should we do?) analytics, all within the familiar context of Excel.
In the descriptive analytics section you will learn:
Example of parametric and nonparametric statistics
Measures of central tendency and dispersion
How to use the normal distribution to describe processes
How to combine the normal random variables
How to calculate process yield
Lots of practical applications for descriptive analytics
In the predictive analytics section you will learn:
The basics of time series analysis
How to build a linear regression model in Excel
How to calculate seasonality
How to combine baseline, trend and seasonality to build forecasts
How to use Excel Data Analysis Add-in
Real life applications of time series forecasting
In the prescriptive analytics section you will learn:
The basics of mathematical programming
How to use Excel's Solver Add-in
How to build data models using objective functions and constraints
The Economic Order Quantity and how to use it to cut your Total Inventory Costs
How to integrate management policies into your linear programs
How to apply linear programming in a "classic" product mix problem
Plus for each section -- descriptive, predictive, and prescriptive -- you will have a chance to practice your newly learned skills with Excel-based, downloadable practice exercises covering all the major tools within each section.
You will also receive a downloadable Glossary of Terminology early in the course that you can use to study offline. The 110+ terms were carefully chosen to not only cover the key ides in this course, but also to give you starting points into more in-depth or adjacent topics.
Here's what Udemy students are saying 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 easy to understand manner. Attended a few Udemy courses and this is one of the better ones. Kudos." - Clifford C.
Plus Over 900 5-star Reviews!!
"Introduction to Supply Chain Analytics using Microsoft Excel" will serve as the starting point to advance your analytical problem-solving skills. No need to feel intimidated by statistics or heavy-duty math ... this class will step you through a powerful selection of analytical tools at a pace and level that any professional can handle.
Sign up today!!
