Supply Chain Analytics Essentials
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Supply Chain Analytics Essentials
This course is part of Supply Chain Analytics Specialization
Instructor: Yao Zhao
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What you'll learn
The supply chain challenges and why data analytics is critical in handling them.
Simple but powerful analytics skills to quantify the financial impact of supply chains and measure their overall efficiency.
The pain points of various supply chain domains (source, make, move and sell) and how analytics may relieve them.
Supply chain job opportunities, salary statistics, and the requirements.
Skills you'll gain
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There are 4 modules in this course
Welcome to Supply Chain Analytics - an exciting area that is in high demand!
In this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area that applies data analytics to define and solve problems in supply chain management. You will learn analytical skills through real-life examples to quantify the financial impact of supply chains and measure their efficiency. You will see how data analytics can be applied to various domains of a supply chain to relieve their pain points. You will learn the opportunities, salary and latest requirement of the supply chain job market. Upon completing this course, you will 1. Understand the supply chain challenges and why data analytics is critical in handling them. 2. Be able to quantify the financial impact of supply chains. 3. Know how to measure the overall supply chain efficiency by the cash conversion cycle. 4. Understand the pain points of various supply chain domains (source, make, move and sell) and how analytics may relieve them. 5. Learn supply chain job opportunities, salary statistics and the latest requirements. This course is for you, if, 1. You are exploring a career in Data Analytics and Supply Chain Management. 2. You work in supply chains or operations and hope to upskill your data analytics capabilities. 3. You want to apply data analytics skills to supply chain operations to make a practical impact. I hope you enjoy the course!
Welcome to supply chain analytics (SCA) β an emerging and exciting area in high demand! In this week, I will give you an introduction to supply chain analytics, share my journey, and preview the talent crisis and the course.
What's included
4 videos2 readings1 discussion prompt
4 videosβ’Total 25 minutes
- Why Supply Chain Analytics?β’9 minutes
- My Journey in Supply Chain Analyticsβ’8 minutes
- The Talent Crisisβ’4 minutes
- Topics and Weekly Scheduleβ’4 minutes
2 readingsβ’Total 90 minutes
- Is This Course Right for Me?β’30 minutes
- Supply Chain Analytics Talent Crisisβ’60 minutes
1 discussion promptβ’Total 60 minutes
- Your Storyβ’60 minutes
By real-life examples, you will learn how supply chain management (SCM), aided by data analytics, may create a long-term competitive advantage. You will learn how to quantify the financial impact of supply chains. You will see why analytics is critical to SCM, and how to measure supply chain efficiency. Finally, you will identify the main domains of a supply chain.
What's included
9 videos4 readings2 assignments1 peer review
9 videosβ’Total 58 minutes
- K-Mart vs Wal-Martβ’4 minutes
- Dell vs Compaqβ’4 minutes
- Wal-Mart vs. Amazonβ’7 minutes
- The Impact of Supply Chains on Financialsβ’8 minutes
- The Impact of Financials on Stock Market Valueβ’10 minutes
- Analytics Is Critical To Supply Chain Managementβ’7 minutes
- Measure Supply Chain Efficiency by Cash Conversion Cycleβ’7 minutes
- Apple vs. Samsung: Cash Conversion Cycleβ’4 minutes
- Supply Chain Domainsβ’7 minutes
4 readingsβ’Total 75 minutes
- Wal-Mart vs. Amazon: More Detailβ’30 minutes
- Financial Impact of Supply Chains: Data and More Detailsβ’30 minutes
- Apple vs. Samsung: data, formulas and calculationβ’10 minutes
- More on Supply Chain Domainsβ’5 minutes
2 assignmentsβ’Total 90 minutes
- Supply Chain Management and Analytics Basicsβ’60 minutes
- Cash Conversion Cycle and Supply Chain Domainsβ’30 minutes
1 peer reviewβ’Total 60 minutes
- Supply Chain Management Example(s)β’60 minutes
Through real-life examples, you will learn how analytics can be applied to various domains of a supply chain to relieve the pain points and generate economic value.
What's included
11 videos4 assignments
11 videosβ’Total 48 minutes
- Demand Planningβ’7 minutes
- Product Selection, Pricing & Promotionβ’6 minutes
- Fulfillment Diagnosticsβ’5 minutes
- Distribution & Logistics Planningβ’6 minutes
- Transportation Managementβ’3 minutes
- Production Planning, Workforce Managementβ’5 minutes
- Inventory Managementβ’4 minutes
- Strategic Sourcing, Spend Analysisβ’3 minutes
- Supplier Identification and Selectionβ’3 minutes
- Supplier Performance Managementβ’3 minutes
- Order Managementβ’3 minutes
4 assignmentsβ’Total 120 minutes
- Sell Analyticsβ’30 minutes
- Logistics Analyticsβ’30 minutes
- Make Analyticsβ’30 minutes
- Source Analyticsβ’30 minutes
In this final week, you will learn supply chain job opportunities, requirements and preparation. You will learn how to make strategic decisions on jobs by region, industry and company through the dream job analysis. You will practice the knowledge and skills learned in this course by a mini-project.
What's included
12 videos3 readings1 assignment1 peer review1 discussion prompt
12 videosβ’Total 53 minutes
- Supply Chain Job Opportunitiesβ’6 minutes
- Supply Chain Job Requirementsβ’5 minutes
- Supply Chain Job Preparationβ’3 minutes
- Dream Job Analysis: Overviewβ’4 minutes
- Dream Job Analysis by Region - Where to Locate?β’4 minutes
- Dream Job Analysis by Industry - Which Industry to Enter?β’7 minutes
- Dream Job Analysis by Company - Which Company to Work for?β’3 minutes
- Screenshots: Create A New Projectβ’2 minutes
- Screenshots: Business GEOINFOβ’5 minutes
- Screenshots: Industry Analysis and Enterprise Diagnosisβ’6 minutes
- Screenshots: Navigator and Supply Chain Mappingβ’4 minutes
- Screenshots: Preview, Share and Citeβ’3 minutes
3 readingsβ’Total 50 minutes
- Important updates on Dream Job Analysisβ’30 minutes
- Mini-project instructionsβ’10 minutes
- GCPS Tutorial and Screenshotsβ’10 minutes
1 assignmentβ’Total 20 minutes
- Supply Chain Jobsβ’20 minutes
1 peer reviewβ’Total 120 minutes
- Supply Chain Analytics Essentials Mini-Projectβ’120 minutes
1 discussion promptβ’Total 40 minutes
- Supply Chain Jobsβ’40 minutes
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Reviewed on Aug 6, 2023
This course is a good introduction to the supply chain analytics world it is well designed, and I like to confirm that Professor Yao Zhao did an excellent job. respects.
Reviewed on Oct 13, 2020
Length of the course should be more. The course can be developed more by going deep into individual categories of analytics.
Reviewed on Feb 7, 2021
Basic learning but relevant and well explained. For beginners this is what could be expected and for seniors its a rereview of main concepts.
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