Training in data analysis for manufacturers typically involves learning how to use tools and techniques to analyze data that is relevant to the manufacturing process. This may include learning how to collect, organize, and visualize data in order to identify trends, patterns, and other insights that can be used to improve the efficiency, quality, and profitability of the manufacturing process.
Examples of data that may be analyzed in the manufacturing context include production data, quality control data, supply chain data, and customer data. Training in data analysis for manufacturers may also involve learning how to use statistical techniques to analyze data and make predictions about future performance.
In addition to learning how to use specific tools and techniques, training in data analysis for manufacturers may also involve learning how to communicate findings and recommendations to stakeholders, as well as how to implement data-driven improvements to the manufacturing process.