RA: Supply Chain Applications with R & Shiny: Inventory.

Learn R & Shiny, Make A cloud based Inventory Application from Scratch! Take decisions Real time.

Ratings: 4.34 / 5.00




Description

" This is a project based course that will be a part of many courses on the same topic; in this Project,Mango Incorporation is hiring you to optimize their stock replenishment and automate the process for them. you will have to investigate their data and give them a real-time working solution"


Do you work in Inventory Control/ Procurement ?

Are you involved in taking supply chain decisions?

Did you ever wonder how inventory concepts work in real life?

Do You want to make a complete end to end inventory solution for you business/company?

Do you want to work as a consultant for supply chain?


...... you have come to the right place :)


Rescale analytics- A data driven supply chain consultancy and a solution provider- Developed The highest rated courses in supply chain analytics and Data science with Python and R and till now it is still the only comprehensive course on the  shows how to take data driven supply chain decisions with data science with Amazing feedback from students !!

with this course, Based one students demand.we take it one step further; we combine Supply chain , Devops and Data science to make a comprehensive inventory course for you.

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, Setup Codes, lifetime access, and a 30-day money-back guarantee.


in this course you will be able to:


* Deploy a could based Inventory application.

* Inventory Management techniques to be applied in  real-time in a Dynamic Environment

* Stock Algorithm Development and Automation.

* Connecting to remote Database .

* Know how to setup the server where you deploy the inventory algorithm.

* Know how to setup network configurations between multiple servers.

* Make you app accessible through the internet.

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











What You Will Learn!

  • Deploy a could based Inventory application.
  • reduce stock cost and increase service level.
  • Inventory Management.
  • Algorithm Development
  • Connecting to Database
  • Mysql
  • R
  • Scheduling algorithms
  • Azure
  • DevOps
  • Network Configurations

Who Should Attend!

  • Supply chain
  • Inventory
  • Applications Development