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Predictive Analytics

Getting started in predictive analytics takes thoughtful planning and a little time, but it’s a necessary tool that virtually any business can implement. Being committed to an approach or model is key, as is the willingness to invest the time and resources needed to achieve success. Ultimately, predictive analytic models can help businesses acquire, manage, and grow new and existing customers.

Using techniques such as data mining, statistical modeling, machine learning, and even artificial intelligence, predictive analytics helps analyze existing data to make future predictions. We can generate future insights with more certainty, and more reliably forecast scenarios, trends, and behaviors.

  • Credits: 0 credits

What You'll Learn

Understand how to look at data and gain needed insights to move your business forward.
Improve and enhance your ability to forecast and make sound, predictable recommendations with data
Explore statistical methods and machine learning techniques to identify the likelihood of future outcomes based on historical data.
The right questions to ask in challenging assumptions of analytics and AI
How to use frameworks and tools to recognize the power and potential of data in driving competitive advantage.
How data can be used effectively from diverse industries and functional areas by networking with peers
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Course FAQs

What is asynchronous?
Asynchronous learning means that the instructor and the students in the course all engage with the course content at different times (and from different locations). The instructor provides students with a sequence of units which the students move through as their schedules permit.
What is the course structure?
Courses are offered fully online and are asynchronous. There is an optional, live interactive session offered weekly so students can engage with one another and with the faculty member. 

How long is each course?
Our mini-sessions (or terms) are 7.5 weeks long, and courses are offered in each mini. Each semester consists of 2 mini-sessions.
How many courses can I take in a mini-term?
We have structured our courses so students can take one course at a time; this is especially important for students balancing full-time employment. We do permit students to take a maximum of two courses in 1 mini-term (i.e. 6 credits over a 7.5 week period). While taking more than two courses in one semester may seem appealing, these online accelerated courses can be difficult to manage, especially while working full-time. In addition, taking more than one course in a mini session could cause conflicts in your weekly live sessions (i.e. they could be offered on the same day and time). 

What is a part-time course load vs. a full-time course load?
Part-time in SPS is defined as 3 credits (1 course) per semester, and full-time is defined as 6 or more credits (2 or more courses) per semester. Every course at SPS is 3 credits.
How fast can I earn a master's degree?
You can finish an SPS program in as little as 16 months if you take a course every mini semester*. If you need more time, that's okay too! We offer flexibility so you can go your own pace.

*This is for 30 credit hour programs only.