Resources
Use any of the following Capella library articles for this unit’s assessment or find appropriate articles on your own:
· Anders, G. (2017).
The looming retail bailout
. Forbes, 199(6), 94–99.
· Badenhausen, K. (2016).
The world’s highest-paid athletes
. Forbes, 197(9), 22.
· Cam, D., & Au-Yeung, A. (2017).
Doctorate, degree or dropout?
Forbes, 200(5), 24.
· Canal, E., Kauflin, J., & Adams, S. (2016).
Shark Tank’s toothless deals
. Forbes, 198(7), 24–25.
· Decarlo, S., Elam, D. G., Smyth, K., Agus, S., Austin, C., Hackett, R., …Wieczner, J. (2017).
100 Fastest-Growing companies
. Fortune, 176(4), 157–163.
·
Growing, growing… gone!
(2016). Forbes, 197(5), 28.
· Lim, P. J. (2018).
The 50 best mutual funds and 50 best ETFs.
Money, 47(1), 86–91.
·
Meet the world’s richest
. (2016). Forbes, 197(4), 26–27.
· Salisbury, I. (2018).
How we got here
. Money, 47(1), 52–57.
· Sorvino, C. (2016).
Dollar days
. Forbes, 197(4), 28.
There are select chapters from the following text throughout this course that are useful for preparation for each assessment.
· Lind, D. A., Marchal, W. G., & Wathen, S. A. (2019). Basic statistics for business and economics (9th ed.). New York, NY: McGraw-Hill.
. Chapter 1, “What Is ?”
. This chapter explains why studying analytics and statistics is essential in business today.
If this is your first venture into the world of analytics, the following resources can provide a solid foundation of knowledge:
· Kenny, P. (2014).
Better business decisions from data: Statistical analysis for professional success
. New York, NY: Apress.
. Chapter 5, “Raw Data.”
. This resource presents an overview of how data are used to make business decisions in the professional context.
· Thomas, R., & McSharry, P. (2015).
Big data revolution: What farmers, doctors, and insurance agents can teach us about patterns in big data
. West Sussex, England: Wiley.
· Chapters 1–9.
. These chapters give practical examples of the use of analytics.
· Watson, H. J. (2018).
Successful analytics leaders
. Intelligence Journal, 23(1), 5–11.
· This reading covers key characteristics of how leaders use analytics in business effectively.
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