RA: Data Science and Supply chain analytics.

Free Download Udemy RA: Data Science and Supply chain analytics.. With the help of this course you can Learn R, Data Science for Supply chain Planning, Inventory Optimization,Big Data forecasting and Revenue Management..

This course was created by . It was rated 0 out of 5 by approx 0 ratings. There are approx 10 users enrolled with this course, so don’t wait to download yours now. This course also includes 1972 mins on-demand video, Full lifetime access, Access on mobile and TV & Certificate of Completion.

What will I need?

  • Microsoft Excel
  • Motivation to Learn R
  • Motivation to Use data on a bigger scale than excel

Is this course right for me?

  • interested to learn about Supply chain
  • Interested to learn about stock control
  • interested to learn about demand Planning
  • Interested to use data science for all of this.
  • Interested to learn R
  • Interested to learn about Simulation modelling.

What am I going to 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.
  • 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 the Power of Data Science in Supply Chain.
  • Learn Supply chain techniques you will only find in this course. Guaranteed!

                                                  “Learning Data science is boring! learning data science for a purpose is fun!!”

It’s been six 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 2000 professionals in supply chain and data science with R and python, and finally opening my own business in consulting for two 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. 7000 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 that tackles supply chains using data science. there are courses for data science, forecasting, revenue management, inventory management, and simulation modeling. but here we tackle all of them as a bundle. 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 the 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 to 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 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.

*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 too use orange for data mining.

Happy Supply Chain mining!

Haytham

Rescale Analytics

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