With the use of the tools available for the Big Data analysis and dynamic simulation we are now able to have a glimpse into the future and make a decision based on the dynamic simulation of agent and process behaviour. This Big Data Analytics for Supply Chain Optimization course is there to help institutions, companies and individuals transform their existing supply chain to a Supply Chain 4.0 and be competitive within the fourth industry revolution.
What you’ll learn
- The knowledge of Big Data sources within the supply chain and logistics
- Insight into the Big Data analysis techniques
- Available software for Big Data analysis and dynamic simulation
- The way how to decide which decisions should be made and which left to the machines and systems
- How to incorporate simulation software with their existing ERP software
- Know how on using AnyLogic and AnyLogistix software
Requirements
Candidates must;
- Be proficient in English Language
- Have access to either a computer or smartphone with Internet Connectivity.
- Be equipped with quality webcam and headphones
Duration & Fees
- Regular – 8 Weeks – ₦150,000
- Fast-Track – 6 Weeks – ₦225,000
Program Dates
- August – October, 2024
- October – December, 2024
- February – April, 2025
- May – July, 2025
Curriculum
- 8 Sections
- 24 Lessons
- 10
- Module 1: Introduction to Big Data Analytics in Supply Chain Management3
- Module 2: Data Collection and Integration3
- Module 3: Data Storage and Management3
- Module 4: Data Analysis Techniques for Supply Chain Optimization3
- Module 5: Real-time Analytics and IoT Applications3
- Module 6: Machine Learning and Artificial Intelligence in Supply Chain3
- Module 7: Advanced Analytics for Risk Management and Resilience3
- Module 8: Implementation and Deployment of Big Data Analytics Solutions3
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