Predictive Maintenance/IoT Analyst
Profile Code: AL-MFG-02
- ₹7 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 16 Weeks
Skills You Learn: Predictive Maintenance Analytics | IoT Sensors & Connectivity | Machine Condition Monitoring | Data Analysis & Visualization | Python & SQL | Machine Learning Basics | Industrial Automation | SCADA & MES Systems | Reliability Engineering | Root Cause Analysis
Overview Video
About This Course
A Predictive Maintenance/IoT Analyst in the manufacturing industry focuses on using sensor data and analytics to predict equipment failures and optimize maintenance schedules. This course equips learners with the skills to analyze machine data, monitor KPIs such as downtime, failure rates, and equipment health, and build models for predictive maintenance. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to IoT data and basic analytics techniques. The program emphasizes condition monitoring, predictive analytics, and process optimization in smart manufacturing environments. Learners will understand how to reduce unplanned downtime, extend asset life, and improve operational efficiency. By the end of the course, they are prepared for roles in maintenance and IoT analytics, with career progression into smart manufacturing, operations strategy, and digital transformation leadership positions.
Course Content
3 modules · 16 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Predictive Maintenance and IoT Analysts in the Manufacturing industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, equipment performance analysis, maintenance scheduling, downtime analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, asset utilization tracking, trend analysis, maintenance cost analysis, and interactive dashboards to monitor machine health, improve maintenance planning, reduce equipment failures, and support data-driven operational decisions.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Predictive Maintenance and IoT Analysts in the Manufacturing industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, equipment performance dashboards, maintenance analytics, downtime monitoring, production efficiency reporting, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, asset analytics, data storytelling, and business intelligence techniques to transform manufacturing and maintenance data into actionable insights for improved operational efficiency and strategic decision-making.
MES/SCADA Course
The **MES/SCADA Course** covers basic to advanced concepts for Predictive Maintenance and IoT Analysts in the Manufacturing industry, including Manufacturing Execution System (MES) fundamentals, SCADA architecture, industrial automation, PLC integration, machine monitoring, sensor data acquisition, real-time process monitoring, production tracking, alarm and event management, data historian concepts, equipment performance monitoring, predictive maintenance workflows, process visualization, quality monitoring, asset management, system integration, reporting, industrial communication protocols, operational analytics, and manufacturing intelligence to improve equipment reliability, production efficiency, and data-driven maintenance strategies.
Key Responsibilities
- Monitor machine health using IoT sensors
- Analyze equipment performance data
- Develop predictive maintenance models
- Detect anomalies and failure patterns
- Implement condition monitoring systems
- Create maintenance dashboards and reports
- Collaborate with maintenance and production teams
- Optimize asset reliability and uptime
- Recommend preventive actions to reduce downtime
- Support Industry 4.0 and smart factory initiatives
Growth Path
Tools Used
Perfect For
Engineering Graduates (Mechanical, Electrical, Electronics) | Data Analytics Enthusiasts | Manufacturing Professionals Interested in Industry 4.0 | Maintenance Engineers Seeking Digital Skills | Professionals Interested in Smart Factory Technologies
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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