Data Science: Predictive Analytics Theory | Business Analytics & Intelligence Online Course by Udemy

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Learn how different domains can apply predictive analytics. Quick guide for analytics & machine learning professionals.

An excellent training about Business Analytics & Intelligence

Data Science: Predictive Analytics Theory

PREDICTIVE ANALYTICSThis course gives you an understanding of the application of predictive analytics in your field of interest /domain. As you learn the tools (machine learning, statistics e.t.c) its important to understand the application part. Whether you are a manager, newbie, enthusiast, data scientist or a machine learning professional, this course will bring more light on how you can apply predictive analytics in your domain. PREDICTIVE CUSTOMER ANALYTICSAnalyzing customer behaviourFrom focusing on segments to focusing on the individual customerThis has been made possible through technological advancement & data mining toolsAt the highest level of using customer data is predicting customer behaviourWhy? Lots of data: social media, transaction history, demographic data, e.t.cPREDICTIVE FRAUD ANALYTICSUsing predictive analytics in fraud detection & preventionMove from detecting fraud after we have already made a loss to detecting fraud behaviour and thus prevent it from happening. With tech, were trying to go into improving UX & UI such as fewer authentications but that comes with gaps for digital fraud hence the need for predictive fraud analytics. PREDICTIVE HR ANALYTICSWe are moving to a data-driven HR functionWhy? HR collects lots of data that can be used ( demographics, salary history, empl history, promotions data, churn data e.t.c )Moving from depiction HR dep as a cost function to a strategic partner in the business. Decisions like attracting, retaining and managing talent can be backed with data and to add more applying predictive analytics in those decisions.

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