"Spreadsheet Modeling Online Course, Excel 2013: Introductory Section" from Harvard Business School Publishing
Purchasing Instructions
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"BUSI758C: Data Driven Decision Making I is one of your required courses for Fall 2018. This critically important course covers analytical tools and models for managerial decisions that are used extensively in managerial practice as well as in other subsequent courses in the Smith MBA curriculum. As a part of DDDM, you are required to take an online course from Harvard Business Publishing Spreadsheet Modeling (or SM). SM covers basic and advanced topics in spreadsheet analysis and modeling skills that prepares you for DDDM."
What is SM?
Spreadsheet Modeling is an online course covering fundamental spreadsheet skills. Topics in this course include:
- The Excel Environment
- Working with Data: Basic Techniques
- Cells and Ranges
- Increasing Spreadsheet Readability
- Cell Formatting; Conditional Formatting
- Excel Formulas
- Relative and absolute addressing
- Named cell ranges; Referencing by names
- Hierarchy of Mathematical Operations
- Creating, Formatting and Customizing Charts
How does the Smith School Use SM?
Most of our entering MBA students have basic familiarity with Excel spreadsheets. The DDDM course requires the use of fundamental spreadsheet skills such as some of those listed above. The focus in DDDM is not on software issues, but instead, on the analytical aspects of modeling the business decision and the managerial implications. SM offers a way for all students to familiarize themselves with the spreadsheet software features that will be used and built upon in DDDM."
Grading
5% of grade in BUSI758C is determined by your performance in SM.
Due Date
Final Exam must be completed by Sunday, October, 2018 at 6:00 PM
You only have one chance to take the Final Exams!
Time Requirement
Estimated that advanced Excel users will take 6 to 8 hours to complete Spreadsheet Modeling, while beginning users will take 10 to 12 hours. Most students will likely need 10 hours or more.
You are urged to register for SM and begin studying the course material as soon as possible. Past experience indicates that many students significantly underestimate the time and effort needed to complete these courses.
Academic Integrity
You will take HBS Spreadsheet Modeling and the course Data, Models, and Decisions, under the University of Maryland’s Code of Academic Integrity(link is external). Any violation of this code, such as receiving help from another individual in taking a Test, will result in an automatic “XF” on your transcript with the notation “failure due to academic dishonesty”.
Purchasing Instructions: HBSP's "Spreadsheet Modeling Online Course, Excel 2013: Introductory Section"
HBSP Product Number: 9053-HTM-ENG
Login Information:
- Turn off all pop-up blockers
- Click on the following link for your cohort's discounted course
- Select “Register Now”
- Fill out the required information, and select “Register”
- Login using your newly created credentials
- Under Coursepack View, click on “Purchase Materials”
- You will be prompted for payment information and click "Next"
Payment: Individually by student directly to HBSP. Students receive the Smith discounted price of $45.00.
Technical Requirements:
HBS courses are internet-based and cannot be accessed off-line; different computers can be used to for access, as long as each computer satisfies the following requirements:
- Device -- Computer with minimum 1024x768 screen resolution. FA is iPad compatible.
- Internet -- High speed internet connection (DSL / cable modem quality)
- Operating System -- Windows 2000, XP, Vista, 7 / Mac OS 10.x
- Web Browser -- Firefox 3.6+ / Safari 4+ / Chrome web browsers with JavaScript and cookies enabled; Internet Explorer is not recommended for students using Online Courses or Tutorials--please use one of the other supported browsers instead.
Technical Difficulty? Please contact the Harvard Business School Publishing Technical Support:
24 hours a day, 7 days a week
U.S./Canada: (800) 810-8858
International:+1 617-783-7700
E-mail: techhelp@hbsp.harvard.edu