What you’ll learn
• A-Z Guide to Mastering Python for Data Science.
• Work as A demand Planner.
• Become a data driven supply chain manager.
• Use linear Programming in python for logistics optimization and Production scheduling.
• Set stock policies and safety stocks for all of your Business products.
• Revenue management
• Segment Customers, Products and suppliers to maximize service levels and reduce costs.
• Learn simulations to make informed supply chain decisions.
• Become a supply chain data scientist.
• Learn Supply chain techniques you will only find in this course. Guaranteed!
Requirements
♦ Excel and Python knowledge.
♦ Anaconda
Course Preview
Description
The course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by Python programming fundamentals, this is to level all of the takers of this course to the same pace. and the third part is supply chain applications using Data science which is using the knowledge of the first two modules to apply. while the course delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and Python-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real supply chain use cases.
1- Introduction to supply chain.
2- Supply chain Flows.
3- Data produced by supply chains.
1- Basics of Python
2- Data cleaning and Manipulation.
3- Statistical analysis.
4- Data Visualization.
5- Advanced Programming.
1- Product segmentations single and Multi-criteria.
2- Supplier segmentations.
3- Customers segmentations.
4- Forecasting techniques and accuracy testing.
5- Linear Programming and logistics optimizations.
6- Pricing and Markdowns optimization Techniques.
7- Inventory Policy and Safety stock Calculations.
8- Inventory simulations.
9- Machine Learning for supply-chain.
10- Simulations for optimizing Capacity and Resources.
*NOTE: Many of the concepts and analysis I explain first in excel as I find excel the best way to first explain a concept and then we scale up, improve and generalize with Python. By the end of this course, you will have an exciting set of skills and a toolbox you can always rely on when tackling supply chain challenges. The course may take from 12-16 weeks to finish, 4-5 hours of lectures, and practice every week.
Who this course is for
• Python • Supply chain • Analytics • Forecasting • Inventory • Pricing • Machine learning • Revenue Management • Linear Programming • Simulations
Student reviews
This course is very good, I really like how he explains the concepts, looking forward to continue it till the end. Highly recommended for folks who want to learn R from the beginning.
I am study Applied Statistic. This course contain all the important areas in statistics as well R language. I encourage everyone in this filed to add this course in your list. because it will be a massive key in your daily work as a practical skills
I thought I knew Supply Chain a bit, but Haytham is redefining the concept using R. His Supply Chain Data science course is a gem in the vast land of data science knowledge. His step-by-step approach and clear articulate style are remarkable. I sometimes wonder if taking his class alone would have been better than degrees in supply chain. This gentleman is a treasure: learn from him as much as you can because he packs a formidable set of skills delivered to you for nothing
Well, I haven’t completed the course yet, but from what i see, it has been great. As a supply chain student about to graduate, this course is tailor made for Analytics knowledge that we are ought to have in our Arsenal. Thank you for thinking of students when you made this course. 38 hours of course is completely worth it.
One of the best courses available on Supply Chain Analytics. Really liked the approach of explaining concepts in Excel first before implementing it in R.