Munch Learn #5: Data Science Unplugged Part 2

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Today, the pressure to extract value from data through the application of Data Science is intense. Yet many of us, even those who are technical specialists in this field, lack the depth of understanding required to successfully implement the art, processes, and business applications of Data Science. In this series of Data Science 101 primers, we hope to clear up much of the confusion and help you understand how data is transformed into information, knowledge and wisdom to create meaningful business value.

These sessions are entirely Powerpoint free and will be white-board and discussion based, covering the following topics:

· Data Science in action – Real-time and batch
· Application centric & information-driven business
· Closing the data intimacy gap with Data Science
· Value vs. volume decision debate
· AI/ML/DL taxonomy
· Descriptive, diagnostic, predictive & prescriptive hierarchy
· Discovery, monetization & monitoring phases
· People in the process – Coping with infinite demand

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