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

Learn R,Supply-chain Data Science, Inventory Optimization,Big Data forecasting, Machine learning and Revenue Management.

This course includes:
38 hours on-demand video | 1 article | 156 downloadable resources | Full lifetime access | Access on mobile and TV | Certificate of completion

What you’ll learn

• A-Z Guide to Mastering R for Data Science.
• Work as A demand Planner.
• Become a data driven supply chain manager.
• Become a data driven sourcing manager.
• Set stock policies and safety stocks for all of your Business products.
• Increase profit of your business with pricing optimizations.
• Offer product recommendations for your customers.
• Learn the Power of Data Science in Supply Chain.

• Segment Customers, Products and suppliers to maximize service levels and reduce costs.
• Learn simulations to make informed supply chain decisions.
• Forecast and analyze all of your products at once.
• Move Beyond Excel, analyze and make decisions at scale!!
• Move to Consultancy with your new acquired skills in this course.
• Become a supply chain data scientist.
• Learn Supply chain techniques you will only find in this course. Guaranteed!

Course Preview

♦ Microsoft Excel
♦ Motivation to Learn R and to use data on a bigger scale than excel


The course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by R 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 R-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 R

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- Forecasting aggregation approaches.

6- Pricing and Markdowns optimization Techniques.

7- Inventory Policy and Safety stock Calculations.

8- Inventory simulations.

9- Machine Learning for supply-chain.

10- Product Recommendations for customers.

11- 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 R. 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.

*Bonus: one hour webinar of Intro to machine learning where I am the panelist for NOBLE PROG; the host and organizer of the webinar event. the webinar has a demo on how to use orange for data mining.

Who this course is for

• Supply chain • Inventory • Demand Planning • Data science • R • Simulation modelling. • Optimization • Forecasting • Time-series • Excel

Student reviews

Learn R,Supply-chain Data Science, Inventory Optimization,Big Data forecasting, Machine learning and Revenue Management.