<p class="isSelectedEnd">Manufacturing companies generate large amounts of information from production lines, equipment, quality checks and maintenance records. I&rsquo;m interested in how businesses can use this data to improve efficiency.

<p class="isSelectedEnd">Can Python and data analysis tools be used to monitor production data, identify recurring equipment problems or reduce downtime? I&rsquo;ve also seen machine learning used for predictive maintenance and forecasting.

<p class="isSelectedEnd">For engineers who want to move into analytics, Data Science with Python seems like a useful foundation because it combines programming, statistics and practical data handling.

<p class="isSelectedEnd">I&rsquo;ve also noticed that people researching a Data Science course in Bangalore often ask whether a course should focus more on theory or hands-on projects. What would be the better approach for someone interested in applying Data Science to manufacturing?

Would be interested to hear from engineers who have worked with production data or predictive maintenance.