Why Business Analytics?

It is estimated that 90% of the data in the world was created in the past two years alone. We have more devices measuring more phenomena than ever before, producing vast quantities of data. Right now, in your pocket, you have a smartphone that is likely recording—however accurately—your every step, swipe, time spent on certain apps, browser history, and more. And that’s just you; multiply that by the hundreds of millions that also own smartphones. Now imagine the currently primitive versions of Internet of Things devices that we possess: sensors that track energy and resource consumption, wear and tear, and so much more. There are billions of data points being created and recorded all around us.

In such a world awash with data, it is not merely prudent to learn how to navigate the fundamentals of handling and analyzing data. It is the responsible choice. In the course of your career you will confront many thorny problems that will require difficult decisions, and in order to make the right choice you need to be properly armed. In order to deliver insights not only to yourself but to your employers and customers, you will need a toolkit that enables the parsing and analysis of various kinds of datasets—to properly fulfill your goals and create true value. The aim of this certificate in Business Analytics is to give you that toolkit. Throughout your two courses, the core principle of responsibility to yourself, your customers, and your employers will prove a guiding light, as in the end, each of us wants to create something of value. To do so nowadays requires additional tools, no different, really, than any other tools you have learned to use before. With that in mind, let’s begin.



Courses take place on the campus of Seattle Pacific University and meet once per week in the evening. Pass both of these courses to earn your certificate in Business Analytics.

Data Methods for Decision Making (10 Weeks)

During our first quarter together, we'll focus on data fundamentals and introduce a wide variety of analysis and visualization tools and techniques. At the end of the course, you will be able to identify which data and visualization technique will drive the most impact under a variety of scenarios. You will also learn how to present meaningful information in the most compelling and consumable fashion, with consideration of the following:

  • Metric definition, creation, implementation
  • Data querying and modeling
  • Prepping data for visualization
  • Best practices in data visualization, including user adoption, design principles, and more
  • Dashboard techniques and introductions to cutting-edge technologies

Data Science and Responsibility (10 weeks)

The second course teaches advanced data science techniques for business, as well as engages in deeper questions surrounding data, such as responsibility and morality, successful data projects, managing data projects, and more. At the end of the course, you will be able to navigate data scenarios in business and in the world at large with a deeper framework for decision-making under a variety of scenarios, including the following:

  • Applied data science methods for business professionals
  • Interpreting results and finding meaning with data
  • Responsibilities of the data profession