Industrial Technical Data Analysis
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This professional Industrial Technical Data Analysis course is designed to develop practical skills for collecting, cleaning, validating, analyzing and presenting industrial technical data for engineering and management decision-making. Learners will understand how data from logbooks, checklists, CMMS, HMI, SCADA, meters and field observations can be transformed into meaningful performance information.
The course covers industrial data analysis fundamentals, data sources and structure, data cleaning and validation, engineering units, practical statistics, KPI development, baseline and benchmarking, time-series and trend analysis, equipment and maintenance performance, reliability, energy and utility analysis, cost analysis, abnormality detection, data-based RCA, technical visualization, dashboards, management reporting and practical industrial data-analysis projects. Through industrial datasets, calculations, analytical exercises and case studies, learners will develop the ability to identify performance gaps, discover recurring losses, support root-cause analysis and convert technical data into clear improvement actions.
Target Audience
- Engineers, engineering students and technical professionals
- Maintenance, Reliability, Utility, Production and Operations Professionals
- Energy, Performance, Process and Industrial Engineering Professionals
- Supervisors, Team Leaders and Technical Managers responsible for performance review
- Professionals working with CMMS, HMI, SCADA, logbooks, meters and technical records
- Professionals seeking to improve engineering analysis, KPI monitoring and data-driven decision-making skills
Course Features
- 📘 Industrial Data Analysis Resources / Templates
- 💻 100% Pre-Recorded Video Course
- 📊 Practical Industrial Data Analysis Training
- 🧮 Calculations, KPI, Trend & Performance Analysis
- 📈 Dashboard & Technical Visualization Practice
- 📝 Industrial Data Analysis Assignments & Case Studies
- 🏅 Official Certificate upon Successful Completion
- Android Mobile
- Laptop
- Internet
- 9 Sections
- 34 Lessons
- 30 Hours
- Data Analysis FundamentalsBuild a practical foundation in industrial technical data and understand how engineering data supports performance analysis and decision-making.3
- Data Cleaning & ValidationLearn how to identify data-quality problems and prepare reliable datasets for engineering analysis.3
- Statistics & KPIDevelop practical statistical and KPI skills for measuring industrial performance and establishing meaningful performance references.4
- Trend & Comparative AnalysisLearn how to analyze time-based data, compare performance and identify deterioration, variation and performance gaps.4
- Equipment, Maintenance & Loss AnalysisApply data analysis to equipment performance, breakdowns, reliability and recurring losses to support maintenance and reliability decisions.4
- Energy, Utility & Cost AnalysisDevelop the ability to analyze energy, utility and maintenance-related costs and evaluate specific consumption and savings opportunities.4
- Abnormality, Risk & Root Cause AnalysisUse technical data to identify abnormal conditions, investigate performance gaps and support evidence-based root-cause analysis.4
- Visualization & Management ReportingLearn how to present technical analysis clearly through charts, dashboards and concise management reports that support decisions.4
- Practical Industrial Data AnalysisIntegrate the complete data-analysis workflow through practical industrial datasets, equipment and utility analysis, RCA and a final management presentation.4
Engineer (Technical Management & developments) | MSc in EEE II Skills Trainer | Writer | Volunteer
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