RA: Data Science and Supply chain analytics.(A-Z with R)

Why take this course?
🚀 Course Overview: Dive into the world of Data Science and Supply Chain Optimization with this comprehensive course designed for professionals who manage large inventories, work in finance, or are looking to transition from Excel to R for data analysis. This course will cover fundamental supply chain concepts, provide a solid foundation in R programming, and apply these skills to real-world supply chain challenges using data science techniques.
📚 Modules:
- Supply Chain Fundamentals – Understand the basics of supply chain, including flows, data production, and how it all fits into the data science context.
- R Programming Fundamentals – Get up to speed with R, learning about data cleaning, statistical analysis, data visualization, and advanced programming.
- Supply Chain Applications – Apply your knowledge to segment products and suppliers, forecast demand, optimize pricing and markdowns, calculate inventory policies and safety stock, and perform inventory simulations using machine learning techniques.
🎓 Learning Format: The course is structured as experiential learning modules with a mix of theoretical explanations, presentations, coding sessions, and assessments to ensure you grasp the concepts and can apply them practically.
🛠️ Skills Acquired:
- Understanding Supply Chain Mechanics
- Mastering R programming for data analysis
- Applying statistical methods in supply chain scenarios
- Implementing machine learning algorithms (with a bonus webinar intro)
- Developing predictive models for demand planning
- Automating inventory management with data science tools
🕒 Duration: The course is estimated to take between 12-16 weeks to complete, with approximately 4-5 hours of lectures and practice each week.
💡 Real-World Impact: This course has been successfully implemented in businesses like Aster Group and Adventure AHQ- Sharaf Group, leading to significant improvements in supply chain efficiency and data-driven decision-making.
🚀 Testimonials: Clients have highly recommended this training for its clarity in explaining complex calculations and its practical application in enhancing supply chain processes.
📅 Next Steps: If you're ready to transform your approach to inventory management and supply chain forecasting, enroll in this course today and embark on a journey to master R and data science in the context of supply chain optimization.
Join us for an exciting learning adventure that will equip you with the tools and knowledge to navigate the complexities of modern supply chains and data analysis. 🌟
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