After taking this course, I have a much better idea of what people learn in an MBA program. I can make a better decision about whether I should apply for business school.
I found the course most informative and beneficial to me. I came away with answers to questions I have had for a long time with regard to Business Statistical and Modeling analysis.
I have enjoyed this class; very informative. The class gave me the opportunity to see another side of the business world and see all that analysts do to come up with solutions.
I have no background in business analysis, and this course provided a basic foundation. If I decided to pursue business analysis in more depth, I will at least have been exposed to important concepts and definitions. I will actually be able to apply some of the material directly in my job. Thank you.
The course was relevant and useful in my current position - and enabled me to use the information learned during the course to make real world decisions.
The instructor was thorough, had interesting real world and relevant examples and one could not help but gain some valuable and helpful knowledge.
This course is very useful to any individual in making business decisions. I also decided to continue my study of Management Science.
This course provided some valuable information that I can use on a daily basis. The instructor's writing style is very easy to comprehend and follow. Thanks for a great experience.
You do an outstanding job of covering the information -- your communication on the topic is just simple enough but just complex enough to bridge the "What?" and the "Why?" and the "How?" of this topic within a 12-lesson span. Thank you!
You make things simple enough for the non-business person, yet challenging enough to feel stimulated. I've already started implementing some concepts into my current job and my boss has taken notice of the different perspective I've developed thanks to your courses!
Course Code: iba
Explore a variety of analytical approaches you can use for making business decisions and look at the basic steps involved in problem solving. Then learn about basic probability concepts and how you assign probabilities to experimental outcomes as you find out how to apply probability concepts to business situations.
Understand the concepts of mean and standard deviation and how they're used in business. You'll also learn survey analysis, the various steps involved in doing a survey, and the most common errors that people make. Then, you'll learn how to structure a problem so that when you decide how to deal with it, you know what result to expect. We'll talk about using an optimistic, conservative, and an in-between approach in making decisions.
What if the decision you want to make isn't the most sensible one from a financial perspective? There are times when you need to base the worth of a decision on its value to you and you’ll learn about this approach. Then, understand forecasting as it's done in business analysis. You'll learn about the two types of forecasting: qualitative and quantitative.
Discover modeling, which is the application of mathematical constructs to decision making. You'll explore simple, intermediate, and complex types of models and discuss the two approaches to model development: reductionist and holistic. Then learn how models are developed within a business organization.
In this lesson, you'll look at financial analysis and how it differs from accounting. We'll discuss cost estimating, and various types of business costs, and you'll get familiar with the concepts of break-even analysis and benefit/cost analysis. Then learn the basics of PERT/CPM and how to utilize these techniques in your work.
Risk is a part of any business situation, which makes it something you need to consider when you do business analysis, so we'll cover step-by-step procedures for creating and using a simulation model to evaluate risk. Finally, you’ll look at computer-based information systems and their business applications.
Matt Crabtree, CFP ®, earned his Bachelor of Science in Business, Information Systems Management, in 1999, a mini MBA certificate from The School of Management at Yale University in 2004, a certificate in Financial Planning from Pepperdine University's Graziadio School of Business in 2012 and has received the financial industry's most rigorous and prestigious professional designation of Certified Financial Planner ™. After many years in project management, office management, and business sales, Matt began training individuals and organizations in areas of business finance, leadership development, successful negotiations, sales management, and customer service excellence. Matt has trained individuals and various units within the U.S. Department of Defense, as well as corporate organizations including IBM (technology), Accuray (healthcare-technology), and Gen-Probe (molecular diagnostics). Matt is registered as a securities broker with the Financial Authority Regulation Authority (FINRA) and with the U.S. stock exchanges (NYSE and NASDAQ) and as an investment advisor with FINRA. Matt's natural aptitude for explaining his material in an easy-to-understand and enjoyable manner allows each student to gain insights into areas that are often considered challenging.
There are no prerequisites for this course.
Proficiency with basic algebra.
A new session of each course opens each month, allowing you to enroll whenever your busy schedule permits!
Once a session starts, two lessons will be released each week, for the six-week duration of your course. You will have access to all previously released lessons until the course ends.
Keep in mind that the interactive discussion area for each lesson automatically closes 2 weeks after each lesson is released, so you’re encouraged to complete each lesson within two weeks of its release.
The Final Exam will be released on the same day as the last lesson. Once the Final Exam has been released, you will have 2 weeks plus 10 days to complete the Final and finish any remaining lessons in your course. No further extensions can be provided beyond these 10 days.