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

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

Update: machine learning forecasting with tidy models is added in the last chapter (Aug 2023)

_made by a supply chainer for supply chainers. A course designed for the modern supply chain profession._

_" 60000 Professionals are using inventorize across R & Python. Know how to use it only in this course"_ It's been seven years since I moved from Excel to R and since then I have never looked back! With eleven years between working in Procurement, lecturing in universities, training over 70000 professionals in supply chain and data science with and

_python_

, and finally opening my own business in consulting for five years now. I am extremely excited to share with you this course and learn with you through this unique rewarding course. My goal is that all of

you become experts in data science and supply-chain

. I have put all the techniques I have learned and practiced in this one sweet bundle of data science and supply chain. As a consultancy, we develop algorithms for retailers and supply chains to make

_aggregate and item controllable forecasting,_

_optimize stocks, plan assortment and Maximize profit margin by optimizing prices_

. 13000 people are already using our

_free package for supply chain analysis "Inventorize"_

and we can't wait to share its capabilities with you so you can start dissecting supply chain problems...for free! The motivation behind this project is

_filling the gap of finding a comprehensive course_

_Lectures, Concepts, codes, exercises, and spreadsheets_

. and we don't present the code,

_we do the code with you, step by step_

. the abundance of data from customers, suppliers, products, and transactions have opened the way for making informed business decisions on a bigger and more dynamic scale that can no longer be achieved by spreadsheets. In this course, we learn data science from a supply chain mindset. Don't worry If you don't know how to code, we learn step by step by applying supply chain analysis!

_

NOTE:_

_Full course includes downloadable_

_resources_

_and_

_R project files_

_,_

_homework_

_and_

_course quizzes_

_,_

_lifetime access_

_, and a_

_30-day money-back guarantee_

_._

Who this course is for:

· If you are an

_absolute beginner at coding_

, then take this course. · If you work in supply-chain and want to make

_data-driven decisions_

, this course will equip you with what you need. · If you work as a demand planner and want to make

_aggregate and item controllable forecasting, take this course._

· If you are an inventory manager and want to

_optimize inventory for_

_1000000 products at once,_

then this course is for you. · If you work in finance and want to

_forecast your budget_

by taking trends, seasonality, and other factors into account then this course is just what you need. · If you are a seasoned R user, then take this course to get up to speed quickly with R capabilities. You will become a regular R user in no time. · If you want to take a

_deep dive (not just talking)_

in supply chain management, then take this course. · If you want to

_apply machine learning techniques for supply -chain_

, we will walk you through the methods of supervised and unsupervised learning. · If you are

_switching from Excel to a data science language_

. then this course will fast track your goal. · If you are

_tired of doing the same analysis again and again on spreadsheets_

and want to find ways to automate it, this course is for you. · If you are frustrated about the

_limitations of data loading and available modules in excel_

, then Moving to R will make our lives a whole lot easier.

Course Design

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.

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

_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.

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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._

Happy Supply Chain mining! Haytham Rescale Analytics Feedback from Clients and Training:

"In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.

I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management."

Shailesh Mendonca

Commercial lead-in Adventure AHQ- Sharaf Group

“ Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham’s analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group”

Saify Naqvi

Head of Supply Chain Efficiency

“I participated to the training session called "Supply Chain Forecasting & Management" on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in simple way. I highly recommend this training.”

Djamel BOUREMIZ

Purchasing Manager at Mineral Circles Bearings