Failure Prediction for Manufacturing Industry with SQL Server & R

This course aims to teach learners how to predict product failures in the manufacturing industry using SQL Server and R. By utilizing machine learning techniques, participants will be able to build predictive models such as regression, binary classification, and random forest models based on past failure data. The course will demonstrate how to develop an end-to-end solution in SQL Server 2016, incorporating advanced analytics tools like R. The teaching method involves creating predictive models and reports using SQL Server, R, and R services. This course is designed for BI or Data Scientist developers working in the manufacturing industry who are responsible for monitoring and predicting product failures during the production or delivery phase.