RA: Data Science and Supply Chain analytics. A-Z with Python

Learn Python, Supply Chain Data Science ,Linear Programming, Forecasting, Pricing and Inventory Management.

This course includes:
37 hours on-demand video | 123 downloadable resources | Full lifetime access | Access on mobile and TV | Certificate of completion


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!

♦ Excel and Python knowledge.
♦ Anaconda

Course Preview


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

Learn Python, Retail Budgeting and Metrics, OTB planning, Inventory and Assortment of retail space and price.