Using R for Data Science and Supply Chain Analytics
The course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by python programming fundamentals, this is to level all of the takers of this course to the same pace.
Data Science | core | 37 hours | Published: Aug 2021
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Overview
1.7KSTUDENTS*
94.9%RECOMMEND*
This course includes:
37 hours on-demand video
126 downloadable resources
Full lifetime access
Certificate of completion
The course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by python 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 python-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:
Introduction to supply chain.
Supply chain Flows.
Data produced by supply chains.
Python Programming Fundamentals Module includes:
Basics of python
Data cleaning and manipulation.
Statistical analysis.
Data visualization.
Advanced programming.
Supply chain Applications Module include :
Product segmentations single and multi-criteria.
Supplier segmentations.
Customers segmentations.
Forecasting techniques and accuracy testing.
Linear Programming and logistics optimizations.
Pricing and markdowns optimization techniques.
Inventory policy and safety stock calculations.
Inventory simulations.
Machine learning for supply-chain.
Simulations for optimizing capacity and resources.
Skills You Will Gain
Data Science
Inventory Management
Linear Programming
Python
Supply chain
Learning Outcomes (At the end of this program you will be able to)
Work as a demand planner.
Become a data driven supply chain manager.
Use linear Programming in python for logistics optimization and production scheduling.
Set stock policies and safety stocks for all of your business products.
Revenue management
Segment customers, products and suppliers to maximize service levels and reduce costs.
Learn simulations to make informed supply chain decisions.
Become a supply chain data scientist.
Learn Supply chain techniques you will only find in this course. Guaranteed!
Prerequisites
Basic knowledge of excel.
Who Should Attend
If you are an absolute beginner at coding.
If you work in a supply-chain and want to make data-driven decisions, this course will equip you with what you need.
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 python capabilities. You will become a regular python user in no time.
Curriculum
Instructors
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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Welcome to the course!
2Module 1: Introduction
3Module 2: Supply Chain Data
4Module 3: Installation and Overview of R
5Module 4: R Programming fundamentals
6Module 5: Supply Chain Statistical Analysis
7Module 6: Data Cleaning and Manipulation
8Module 7: Working with Dates in R
9Module 8: Visualize with ggplot2 and Plotly
10Module 9: Supplier and Products Segmentation
11Module 10: Forecasting Basics
12Module 11: Time Series Forecasting
13Module 12: Forecasting Aggregation
14Module 13: Product Segmentation for Demand Planning
15Module 14: Supply Chain Simulations
16Module 15: Inventory Basics
17Module 16: Inventory with Uncertainty
18Module 17: Inventory Simulations
19Module 18: Seasonal Inventory
20Module 19: Consumer Behavior and Pricing
21Module 20: Optimizing the Price for Single Product
22Module 21: Multi Product Optimization
23Module 22: Markdowns and Time Based Discounts
24Module 23: Customer Segmentation
25Module 24: Machine Learning
Segment - 01 - Why I Chose R for this Course
Segment - 02 - Why We Should Learn Coding
Segment - 03 - Curriculum
Segment - 04 - Supply Chain Visualization
Segment - 05 - Cost and Service Dynamics
Segment - 06 - Service Level and Product Characteristics
Segment - 07 - Customer and Supplier Characteristics
Segment - 08 - Supply Chain Views
Segment - 09 - The Financial Flow
Segment - 10 - Why is Supply Chain Complicated
About this course: Overview, Learning Outcomes, Who Should Enroll...
Haytham Omar
I brings a wealth of expertise in supply chain management and data science to our online education platform. With a deep-rooted background in strategic consulting and academic instruction, I've journeyed across pivotal roles in optimizing global supply chains and pioneering data-driven solutions. Holding a doctoral degree focused on basket data-driven forecasting and inventory management, my research has significantly advanced understanding in omni-channel logistics. I've cultivated this knowledge through extensive hands-on experience and academic pursuits, including a Master's in Global Supply Chain Management from KEDGE Business School and a Micro-Masters in Supply Chain Management from MITx on edX.
Throughout my career, I've championed numerous innovative projects in collaboration with international institutions and corporations. My contributions extend beyond theoretical frameworks to practical implementations that enhance operational efficiency and profitability. Notably, I've developed specialized courses and workshops covering diverse aspects of supply chain management, from purchasing and inventory control to logistics optimization and lean management. My teaching approach blends rigorous academic insights with real-world applications, empowering learners to navigate complex supply chain challenges with confidence.
As an instructor on our platform, I am dedicated to equipping students with essential skills in supply chain analytics, data-driven forecasting, and strategic management. My courses are designed to foster critical thinking and problem-solving abilities, essential for navigating the dynamic landscapes of global business operations. Whether you're an aspiring supply chain professional, a business owner aiming to optimize logistics, or a data enthusiast seeking to delve into practical applications, my expertise offers invaluable insights and actionable knowledge.
