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Course / Course Details

Machine Learning for Logistics Optimization

Refining, Processing & Virtual Operations

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

Basic knowledge of logistics or operations
Introductory familiarity with data analysis or Excel
Optional: Python for data science (helpful)

Course Description

This course focuses on the application of machine learning (ML) to solve real-world logistics and supply chain challenges in the energy and industrial sectors. Participants explore predictive modeling, demand forecasting, routing optimization, and anomaly detection using ML algorithms and case studies.

Course Outcomes

Apply ML algorithms to logistics data
Optimize routes, storage, and demand forecasting
Use predictive analytics to prevent delays or losses
Evaluate the performance of logistics models

Course Curriculum

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15 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 15 Hours
Lectures 0 lessons
Enrolled 0 students
Category: Refining, Processing & Virtual Operations
0 Quizzes
Language: English
Skill Level Intermediate
Certificate of Completion
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