Supply Chain Analytics Level 3 Advanced Diploma

Name: Supply Chain Analytics Level 3 Advanced Diploma
Price: 19.99 GBP
Rating: 4.5 (2 reviews)

The Supply Chain Analytics Level 3 Advanced Diploma is designed for supply chain professionals and data analysts aiming to elevate their expertise. From foundational principles to advanced analytics applications, this course equips you with the skills needed to navigate and optimize complex supply chain processes.

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Course Price:

Original price was: £194.00.Current price is: £19.99.

Course Duration:

4 hours, 55 minutes

Total Lectures:

Total Students:

Average Rating:

4.5

Embark on a transformative journey into the world of Supply Chain Analytics with our Level 3 Advanced Diploma. This comprehensive program seamlessly integrates foundational concepts with cutting-edge analytics techniques, providing a holistic understanding of supply chain management.

What Will You Learn?

Supply Chain Fundamentals: Gain insights into the basics of Supply Chain Management, understanding its core principles and processes.
Data Analysis Mastery: Develop a solid foundation in data analysis, equipping yourself with essential skills for handling and interpreting supply chain data.
Analytics Applications: Explore descriptive analytics techniques to interpret historical supply chain data and predictive analytics for demand forecasting.
Optimization Strategies: Delve into prescriptive analytics, learning to optimize supply chain processes for enhanced efficiency and cost-effectiveness.
Risk Management: Understand the intricacies of Supply Chain Risk Management, identifying and mitigating potential disruptions.
Advanced Topics: Explore cutting-edge topics in Supply Chain Analytics, staying ahead of industry trends and challenges.

Who Should Take The Course?

Supply Chain Professionals: Individuals seeking to advance their career in supply chain management through analytics.
Data Analysts: Those interested in applying their data analysis skills to the complexities of supply chain processes.

Requirements:

Basic Knowledge of Supply Chain: A foundational understanding of supply chain concepts is recommended.
Proficiency in Data Analysis: Basic familiarity with data analysis tools and techniques.

Course Curriculum

Lecture 1: Introduction to Supply Chain Management
- Exploring the importance of supply chain analytics in modern businesses 00:10:00
- Overview of key supply chain processes and their interdependencies 00:10:00
- Understanding the fundamentals of supply chain management 00:10:00
Lecture 2: Data Analysis Foundations
- Basics of data preprocessing, cleaning, and transformation techniques 00:10:00
- Exploring data collection methods and sources within the supply chain context 00:10:00
- Introduction to data analytics and its relevance to supply chain management 00:10:00
Lecture 3: Descriptive Analytics in Supply Chain
- Case studies of descriptive analytics in real-world supply chain scenarios 00:10:00
- Exploring techniques for summarizing and visualizing supply chain data 00:10:00
- Introduction to descriptive analytics 00:10:00
Lecture 4: Predictive Analytics for Demand Forecasting
- Exploring predictive analytics models for demand forecasting 00:10:00
- Hands-on exercises and case studies on forecasting demand using statistical and machine learning techniques 00:10:00
- Understanding the importance of demand forecasting in supply chain 00:10:00
Lecture 5: Prescriptive Analytics for Supply Chain Optimization
- Exploring 00:10:00
- Introduction to prescriptive analytics 00:10:00
- Practical applications and case studies 00:10:00
Lecture 6: Supply Chain Risk Management
- Case studies and simulations on managing supply chain disruptions 00:10:00
- Exploring risk identification, assessment, and mitigation strategies 00:10:00
- Understanding the concept of supply chain risk and its impact 00:10:00
Lecture 7: Advanced Topics in Supply Chain Analytics
- Advanced analytics techniques 00:10:00
- Emerging trends and technologies in supply chain analytics 00:10:00
- Industry-specific applications and case studies 00:10:00
Lecture 8: Capstone Project
- Application of supply chain analytics concepts 00:10:00
- Feedback and evaluation from instructors and peers 00:10:00
- Project planning, data analysis, and presentation of findings 00:10:00
Final Exam
- Exam of Supply Chain Analytics Level 3 Advanced Diploma 00:50:00
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- Order Certificate 00:05:00