Watch video Introduction at: goo.gl/2R31ND
About the Author
Z. 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 2019-2013. At Boston University, Professor Ren teaches core operations management courses, and an analytics course 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 worked for INTEL in its Capital Equipment Development group. He has received several recognitions, including the INFORMS George B. Dantzig Dissertation Award, INFORMS Junior Faculty Paper Competition Award, and the Production and Operations Management Society (POMS) Wickham Skinner Early-Career Research Accomplishments Award.
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.
Description to the Multimedia Series
This multimedia series is not about learning all the powerful functionalities of Excel. It will not make you a guru on Excel. In fact, it covers a rather small subsets of functions existing in Excel.
Rather, this book aims to help you become a better decision maker. A better manager or executive. A better homemaker or entrepreneur. A better thinker.
This introductory series on business analytics is designed for readers who are interested in building analytics skills and applying them into business situations such as:
-How to model demand for a new drug?
-How to predict stock prices? Price stock options?
-How to evaluate risk and uncertainty?
-How to detect sex discrimination from compensation data?
-Does it pay to invest long-term?
It will help you build a set of essential analytics skills such as:
-Finding information efficiently;
-Using commonly used math, statistical, and financial functions;
-Building a correct and clear model to analyze a problem;
-Scenario analysis to make decision under uncertainty;
-Summarizing information (e.g., with pivot tables);
-Finding patterns among data;
-Simulation and analyzing risks;
-Optimization for better decision making.
Some key feature of this multimedia series:
1. Each key lesson is accompanied by a how-to video
2. Templates and answers for each example are downloadable
3. Hyperlinks are provided throughout for quick referencing and feedback
4. Built for both Mac and PC
5. FREE lifetime updates of new videos, templates and modules.
The whole series has seven modules, each in e-book format:
1: Basic Skills
2. Model Building
3. Power Analytics with Data Tables and Pivot Tables
4. Visualizing data
5. Pattern Finding,Curve Fitting, and Regression
6. Problem Solving and Optimization
7. Simulation
Whether you read (or watch or listen to) this multimedia series on a computer, a tablet, or a smartphone, you will find this new learning experience exciting, rewarding and fun. Happy learning!
About the Author
Z. 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 2019-2013. At Boston University, Professor Ren teaches core operations management courses, and an analytics course 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 worked for INTEL in its Capital Equipment Development group. He has received several recognitions, including the INFORMS George B. Dantzig Dissertation Award, INFORMS Junior Faculty Paper Competition Award, and the Production and Operations Management Society (POMS) Wickham Skinner Early-Career Research Accomplishments Award.
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.
Description to the Multimedia Series
This multimedia series is not about learning all the powerful functionalities of Excel. It will not make you a guru on Excel. In fact, it covers a rather small subsets of functions existing in Excel.
Rather, this book aims to help you become a better decision maker. A better manager or executive. A better homemaker or entrepreneur. A better thinker.
This introductory series on business analytics is designed for readers who are interested in building analytics skills and applying them into business situations such as:
-How to model demand for a new drug?
-How to predict stock prices? Price stock options?
-How to evaluate risk and uncertainty?
-How to detect sex discrimination from compensation data?
-Does it pay to invest long-term?
It will help you build a set of essential analytics skills such as:
-Finding information efficiently;
-Using commonly used math, statistical, and financial functions;
-Building a correct and clear model to analyze a problem;
-Scenario analysis to make decision under uncertainty;
-Summarizing information (e.g., with pivot tables);
-Finding patterns among data;
-Simulation and analyzing risks;
-Optimization for better decision making.
Some key feature of this multimedia series:
1. Each key lesson is accompanied by a how-to video
2. Templates and answers for each example are downloadable
3. Hyperlinks are provided throughout for quick referencing and feedback
4. Built for both Mac and PC
5. FREE lifetime updates of new videos, templates and modules.
The whole series has seven modules, each in e-book format:
1: Basic Skills
2. Model Building
3. Power Analytics with Data Tables and Pivot Tables
4. Visualizing data
5. Pattern Finding,Curve Fitting, and Regression
6. Problem Solving and Optimization
7. Simulation
Whether you read (or watch or listen to) this multimedia series on a computer, a tablet, or a smartphone, you will find this new learning experience exciting, rewarding and fun. Happy learning!
