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Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
Organizations are turning to predictive analytics to help solve difficult problems and uncover new opportunities. Some of the most common uses of predictive analytics include detecting fraud, optimizing marketing campaigns, improving operations and reducing risks.
This class will provide analyst professionals with the most widely used predictive modelling and data analysis techniques and their core principles.
Please bring along your own laptop.
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