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**What you’ll learn**

• A-Z Guide to Mastering R for Data Science.

• Become a data driven supply chain manager.

• Set stock policies and safety stocks for all of your Business products.

• Offer product recommendations for your customers.

• Learn simulations to make informed supply chain decisions.

• Move Beyond Excel, analyze and make decisions at scale!!

• Become a supply chain data scientist.

• Learn Supply chain techniques you will only find in this course. Guaranteed!

• Work as A demand Planner.

• Become a data driven sourcing manager.

• Increase profit of your business with pricing optimizations.

• Forecast and analyze all of your products at once.

• Move to Consultancy with your new acquired skills in this course.

• Learn the Power of Data Science in Supply Chain.

• Segment Customers, Products and suppliers to maximize service levels and reduce costs.

Requirements

♦ Microsoft Excel

♦ Motivation to Learn R

♦ Motivation to use data on a bigger scale than excel

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**Description**

#### Course Design

The course is designed as ** experiential learning Modules**, the first couple of modules are for

**followed by**

*supply chain fundamentals***, this is to level all of the takers of this course to the same pace. and the third part is**

*R programming fundamentals***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**

*supply chain applications***where you do the coding with me step by step. there will be**

*explaining the concepts on a whiteboard, Presentations, and R-coding sessions***to strengthen your newly acquired skills. all the practice and assessments are real supply chain use cases.**

*assessments in most of the sections*#### Supply chain Fundamentals Module includes:

*1- Introduction to supply chain.*

*2- Supply chain Flows.*

*3- Data produced by supply chains.*

#### R Programming Fundamentals Module includes:

*1- Basics of R*

*2- Data cleaning and Manipulation.*

*3- Statistical analysis.*

*4- Data Visualization.*

*5- Advanced Programming.*

#### Supply chain Applications Module include :

*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

**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,**

*I explain first in excel***. The course may take from 12-16 weeks to finish, 4-5 hours of lectures, and practice every week.**

*you will have an exciting set of skills and a toolbox you can always rely on when tackling supply chain challenges***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.*