This comprehensive active course provides leaders and practitioners with both a strategic and tactical orientation to predictive analytics. Participants will build an analytic operation in stages to experience the natural messiness of predictive analytics. No other training in the market provides such an immersive, skill-reinforcing, and complete view of the practice – particularly with a real-world focus and vendor-neutral perspective. If you are a business or public sector leader or practitioner looking to propel your organization’s analytic maturity and put predictive analytics to work for measurable gain, then this course is designed for you. You do not need to know how code or have stats experience to participate. Traditionally, organizations use data retrospectively – to view what has already happened. Leading organizations use data strategically to anticipate behavior to maximize returns and minimize risk. The mining of data for predictive indicators creates invaluable information assets. Predictive analytics differs from traditional analytics because it produces models — models that capture and represent hidden patterns and interactions in the data. The models that result from such a proactive approach address both why things happened and what is likely to happen next. A user can pose “what-if” questions to an analytic model that cannot be queried directly from a data store. Examples include:
Registrants will be required to view a three-hour online video “Core Concepts” orientation prior to attending this event. Access details to the Core Concepts video modules will be shared with participants prior to the start of the course. Prior education or experience in data analytics or statistics is helpful, but not required. Participants need only supply a laptop computer with Microsoft Excel. Instructions on how to download exercise data and any analytic tools will be provided in the preparatory email. The instructor can assist participants with any preparation during breaks, and before or after class.
5 Days/Lecture & Lab
This course is designed for: