Predictive analytics has finally hit the mainstream as organizations realize its value and how it can help them become more competitive. The technology has also become easier to use. In fact, a current trend in predictive analytics is improving ease of use so that analysts supporting functions such as sales, marketing, and finance can use more sophisticated software. Drag-and-drop interfaces, automating predictive modeling, collaborative software, and embedding models are just some of the ways that the technology is becoming more consumable.
So do you need to be a data scientist with a degree to perform predictive analytics? This Webinar will provide an overview of predictive analytics, the skills needed to for it, and what this means for the business analyst.
You will learn:
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