Microsoft Mechanics shows us a practical use case for Predictive Maintenance, Safety, and Efficiency through Microsoft Azure Synapse.

Find out how Azure Synapse is part of the next-generation data and analytics platform for global aviation tech company, GE Aviation. Jeremy Chapman speaks with Luke Bowman, Senior Product Manager at GE Aviation’s Digital Group, to discuss how they are evaluating Azure Synapse to drive the development of predictive maintenance analytics at scale to help airlines, as well as to get ahead of issues to optimize flight safety and operational efficiency.

If you are new to Azure Synapse, it’s Microsoft’s limitless analytics platform that brings enterprise data warehousing and big data processing together into a single service, removing the traditional constraints for analyzing data of all shapes and sizes.

Great Learning has provided this free 7 hour course on statistics for Data Science.

This course will be taught by Dr.Abhinanda Sarkar who has his Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); and has co-founded OmiX Labs.

These are the topics covered in this full course:

  1. Statistics vs Machine Learning – 2:22
  2. Types of Statistics [Descriptive, Prescriptive and Predictive] – 9:05
  3. Types of Data – 1:50:45
  4. Correlation – 2:46:02
  5. Covariance – 2:52:33
  6. Introduction to Probability – 4:26:55
  7. Conditional Probability with Baye’s Theorem – 5:24:00
  8. Binomial Distribution – 6:17:01
  9. Poisson Distribution – 6:36:02