Chicago Booth | Ms. CS Engineer To Consultant
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Ross | Ms. Packaging Manager
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Harvard | Mr. Gay Singaporean Strategy Consultant
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Wharton | Mr. New England Hopeful
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Cornell Johnson | Mr. Electric Vehicles Product Strategist
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Columbia | Mr. BB Trading M/O To Hedge Fund
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Wharton | Mr. Digi-Transformer
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Chicago Booth | Mr. Private Equity To Ed-Tech
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Columbia | Mr. Old Indian Engineer
GRE 333, GPA 67%
Harvard | Mr. Athlete Turned MBB Consultant
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Ross | Mr. Civil Rights Lawyer
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Stanford GSB | Mr. Co-Founder & Analytics Manager
GMAT 750, GPA 7.4 out of 10.0 - 4th in Class
Cornell Johnson | Ms. Environmental Sustainability
GMAT N/A, GPA 7.08
Cornell Johnson | Mr. Trucking
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Ross | Mr. Low GRE Not-For-Profit
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Harvard | Mr. Marine Pilot
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Harvard | Mr. Climate
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Harvard | Ms. Data Analyst In Logistics
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MIT Sloan | Mr. Marine Combat Arms Officer
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Darden | Mr. MBB Aspirant/Tech
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Best Free MOOCs in Business In March

Supply Chain Analytics

School: MIT

Platform:  edX

Registration Link: REGISTER HERE

Start Date: March 22, 2017 (8 Weeks Long)

Workload:  8-12 Hours Per Week

Instructor: Chris Caplice

Credentials: Dr. Caplice teaches logistics and supply management at MIT, ranked #1 (graduate) and #2 (undergraduate) in this field. He oversees the MIT Freight Lab, which researches ways to improve the design and management of freight transportation. He also manages the MIT Center for Transportation and Logistics and MIT’s Global SCALE Network. Caplice, who holds a Ph.D. from the University of Texas, also serves as the chief scientist for Chainalytics, a supply chain consulting firm.

Graded: Students who complete all course requirements can purchase a verified certificate for $150.

Description: Any company can get a product from point A to point B. The trick is doing it cheaper and faster, as customer expectations rise and resources stretch thin. That’s why analytics have become increasingly popular in operations. Blessed with a surplus of raw data, supply chain professionals can use this data to build new models to increase efficiencies across their distribution networks. In this course, students will be exposed to the fundamentals of supply chain analysis, including hands-on experience with uncertainty, statistical regression, optimization (linear, non-linear and mixed) and probability).

Review:  “MIT has taken learning beyond the classroom through programs like Supply Chain Micromasters. Simply put, this course is amazing if you are willing to put 10+ hours a week. The course content is good but the structure is sometimes confounding to learners. There is a huge gap between the difficulty of questions in the weekly assessments and the mid-term & final exam. From a personal perspective, being a full time post-grad student, this course consumed a lot of my time and hence it was difficult to manage time. However, if you want to learn about the fundamentals of statistics that you want to apply in your business, this is the course for you. The tutorials on the softwares were great and applicable in future.” For additional reviews, click here.

Additional Notes: This course is part of MIT’s MicroMaster’s program in supply chain management. To learn more about these courses, click here.

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