Learn How to Leverage Python modules for Advanced Analytics, How to Codify ML Algorithms for Descriptive Analytics, and How to deploy Python/Jupyter Notebook with Analytics Solutions
Learn the evaluation criteria metrics, levels of analytics, data science methods & solutions, scale-up strategy for successful implementation of ‘Data Science & Analytics’ initiative.
Learn How to Build intelligence for Operation through Soft Sensors, Create Connected Analytics for System-level KPI’s, Practical Workflow & implementation of Digital Twin
Learn How to start creating Value out of manufacturing data by defining the (achievable) problem statement and objectives. How to select right ML methods & workflows, Which techniques to apply and build (practical) solution.