RA: Data Science and Supply chain analytics.(A-Z with R) by Haytham Omar
Salepage : RA: Data Science and Supply chain analytics.(A-Z with R) by Haytham Omar
Archive : RA: Data Science and Supply chain analytics.(A-Z with R) by Haytham Omar Digital Download
Delivery : Digital Download Immediately
What you’ll discover
The Complete Guide to Mastering R for Data Science.
Employed as a Demand Planner.
Develop your skills as a data-driven supply chain manager.
Develop your skills as a data-driven sourcing manager.
Establish stock policies and safety stocks for all of your company’s items.
Pricing optimization can help your company’s earnings.
Make product suggestions to your consumers.
Segment customers, products, and suppliers to improve service and cut expenses.
Learn how to use simulations to make more educated supply chain choices.
Forecast and evaluate all of your items at the same time.
Move beyond Excel and make large-scale choices!!
With your new abilities from this course, move on to consulting.
Learn how to become a supply chain data scientist.
Discover the Value of Data Science in Supply Chain.
Learn supply chain practices that are exclusively available in this course. Guaranteed!
Who should take this course:
Take this course if you are completely new to coding.
If you work in supply chain and want to make data-driven decisions, this course will prepare you.
Take this course if you work as a demand planner and wish to do aggregate and item controlled predictions.
This training is for inventory managers who wish to optimize inventory for 1000000 goods at once.
If you work in finance and want to anticipate your budget while considering trends, seasonality, and other considerations, this course is for you.
If you are a seasoned R user, take this course to rapidly get up to speed with R capabilities. You will quickly become a R expert.
Take this course if you want to get deep (not just speak) into supply chain management.
If you wish to use machine learning techniques in your supply chain, we will guide you through the supervised and unsupervised learning approaches.
If you are transitioning from Excel to a data science language, this course will help you get there faster.
This course is for you if you are weary of conducting the same analysis on spreadsheets over and again and want to find ways to automate it.
Moving to R will make our life a lot simpler if you are irritated with the constraints of data loading and accessible modules in Excel.
24.4GB in size
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