Predictive Analytics for the Modern Enterprise

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies.

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• Explore ways that predictive analytics can provide direct input back to your business
• Understand mathematical tools commonly used in predictive analytics
• Learn the development frameworks used in predictive analytics applications
• Appreciate the role of predictive analytics in the machine learning process
• Examine industry implementations of predictive analytics
• Build, train, and retrain predictive models using Python and TensorFlow