Optimize! Make Best Decisions with Microsoft Excel
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Have you ever wondered whether, for those business and financial decisions that you have made, you could have done better?
Questions such as:
- Is this the right stock portfolio that would maximize my return?
- Did I order the right amount from my supplier that maximizes my profit?
- Is this the right staffing schedule that minimizes my cost?
If you have wondered about if and how you can make better business decisions, this course is for you.
In this course, I teach you to:
- Formulate a business problem properly in Microsoft Excel with a clear objective, and then seek the best solution;
- Learn to solve a range of managerial problems, such as
a) stock portfolio optimization,
b) cash allocation,
c) workforce scheduling,
d) location planning,
e) supply management
- Master advanced skills such as non-linear optimization and making best decisions when things are uncertain.
The valuable skills you learn from this course will help you make better decisions, advance your career, and make more money.
With 30-day money-back guarantee, you have nothing to lose but lots of gain.
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Certificate of completion.
|Section 1: Introduction|
Load Solver in Microsoft Excel
Load Solver in Excel on a MacPreview
Build a good model for optimization (I): List out all inputs and assumptionsPreview
Build a good model for optimization (II): Progress step by stepPreview
Build a good model for optimization (III): Thank hard and smart
|Section 2: Optimize (I): Common Business Problems|
Optimize spending on advertising campaigns
Optimize human resources: worker scheduling
Decide on order quantities
|Section 3: Optimize (II): YES/NO type of decisions|
Assign teams to projects
|Section 4: Optimize (III): More complex problems|
Maximize stock portfolio returns
Step by step instructions on stock portfolio return optimization
|Section 5: Make good decisions when things are uncertainty|
How much to contribute to Flexible Spending Account (I): Use Data Table
How much to contribute to Flexible Spending Account (I): Solver vs. DataTable
Dr. Justin Ren is an Associate Professor of Business Administration in the Operations and Technology Management Department, Dean's Research Fellow, and Senior Fellow of Health Policy Institute at Boston University School of Management. He was also a Visiting Scholar and Research Affiliate at Massachusetts Institute of Technology (MIT) Sloan School of Management from 2009-2013.
For almost ten years, Professor Ren has been teaching analytics courses which focuses on tools and frameworks that help managers gain market intelligence and make strategic decisions. He also teaches in executive education in financial risk management. He is a certified teacher by the Harvard Business School Case Method Discussion Leadership Program.
Professor Ren has consulted for Fortune 500 companies as well as start-ups. His work has been mentioned in Sloan Management Review, China Daily, and the World Financial Review. He has been invited to give lectures and presentations around the world at institutions such as Harvard University, MIT, Duke, Dartmouth, Georgetown, Emory, INSEAD (France), Hong Kong University of Science and Technology, Peking University (China), and Tsinghua University (China).
Professor Ren received his M.S. in Operations Research and Ph.D. in Operations and Information Management from The Wharton School at the University of Pennsylvania.