predictive analytics, energy optimization, maintenance prediction, data science, performance forecasting

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Predictive Analytics for Energy Operations

AI, Data Analytics & Digital Transformation in Energy

By - Dr. Sophia Mensah
0 students
14 Hours
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Course Requirements

Basic understanding of statistics and data handling
Interest in operational efficiency and forecasting
Optional: exposure to spreadsheet modeling

Course Description

This course explores how predictive analytics transforms energy operations. Learners study data collection, pattern analysis, and model development to forecast outcomes such as maintenance schedules, production performance, and consumption efficiency. Real-life industry examples are provided to demonstrate analytics-driven insights.

Course Outcomes

Use predictive analytics tools for energy data
Forecast operational performance and maintenance needs
Interpret data trends for process optimization
Integrate predictive models into energy decision systems

Course Curriculum

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0 quizzes
14 Hours total length

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Instructor

Dr. Sophia Mensah

PhD in Petroleum Economics from the University of Aberdeen, Dr. Mensah specializes in oil trading, risk assessment, and market forecasting. She has consulted for international trading firms and developed investment simulation tools for energy markets.

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Duration 14 Hours
Lectures 0 lessons
Enrolled 0 students
Category: AI, Data Analytics & Digital Transformation in Energy
0 Quizzes
Language: English
Skill Level Intermediate
Certificate of Completion
Full lifetime access

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Predictive Analytics for Energy Operations

Course Requirements

Course Description

Course Outcomes

Course Curriculum

Instructor

Dr. Sophia Mensah

Course Full Rating

0

Student Feedback

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