
Comprehensive Curriculum
Learn probability, statistics, regression, optimization, algorithms, and simulation in a structured and engaging format.

Supportive Learning Environment
Access videos, quick questions, practice problems, and discussion forums to enhance your understanding and retention of the material.

Expert Guidance
Receive guidance from industry experts and course creators to overcome challenges and succeed in mastering supply chain analytics.
About the Course
Welcome to SC0x Supply Chain Analytics, the foundational course of the MITx MicroMasters in Supply Chain Management Program. This course introduces essential techniques and methodologies used in supply chain management, equipping you with the necessary tools for success. Take your time to explore the course content, engage with the resources provided, and build a strong foundation for future SCx courses. Join our worldwide learning community and embark on a transformative learning journey today!

Meet the Creators
Meet Paulo Sousa Jr, Eva Ponce, Chris Caplice, and the whole MicroMasters in SCM team! Learn from industry experts with a passion for sharing knowledge and empowering learners to excel in the field of supply chain management. Benefit from their experience, guidance, and support throughout your learning journey.
Course Curriculum
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1
Module 1: Introduction to SCM and Analytics Basics
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Intro to SCM and Analytics Basics
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Learning Objectives
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Unit 1.1: Contents and Timing
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1.1.1: Introduction to Logistics and Supply Chain Management
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QQ 1.1.1
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1.1.2: What is a Supply Chain?
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QQ 1.1.2
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1.1.3: Logistics versus Supply Chain Management
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QQ 1.1.3
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1.1.4: Supply Chain Management Perspectives
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QQ 1.1.4
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1.1.5: Systems Perspective of Supply Chains
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QQ 1.1.5
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1.1.6: What are the major challenges?
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QQ 1.1.6
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1.1.7: Why do we care?
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Unit 1.2: Contents and Timing
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1.2.1: Analytics Basics
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QQ 1.2.1
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1.2.2: Mathematical Functions
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QQ 1.2.2
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1.2.3: Quadratic Functions
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QQ 1.2.3
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1.2.4: Quadratic Functions in Practice
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QQ 1.2.4
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1.2.5: Other Common Functional Forms
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QQ 1.2.5 - Part A
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QQ 1.2.5 - Part B
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1.2.6: Logarithms
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QQ 1.2.6 - Part A
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QQ 1.2.6 - Part B
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1.2.7: Multivariate Functions
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QQ 1.2.7
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1.2.8: Properties of Functions
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QQ 1.2.8
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1.2.9: Key Points from Lesson
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Unit 1.3: Contents and Timing
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1.3.1: Introduction to Data Management
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1.3.2: Example - TinyCo
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1.3.3: Cleaning Data
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1.3.4: Querying Data in Spreadsheets
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QQ 1.3.4
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1.3.5: Data Management Challenges
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Toolbox 1: Spreadsheet Basics
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Introduction to Spreadsheets
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Spreadsheet Layout
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Identifying Cell Values
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Spreadsheet Functions
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SUM function
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Commonly Used Functions
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Simple single parameters functions
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Common multiple parameters functions
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Advanced Functions
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SUMPRODUCT Function
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IF Function
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Working with Data Files
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Part 1: Median Sales
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Part 2: Coefficient of Variation
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Part 3: Total Cost
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Part 4: Counting Big Sellers
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Solutions for sample spreadsheets
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Toolbox 2: Introduction to Python Basics
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Using Google Colab
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Variables and Types
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Creating and Overwriting Variables
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Types
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Printing
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Printing the Output of Operations
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Strings
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String Formatting
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Operators
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Strings and Mathematical Operators
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Common Mathematical Operations
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Data Structures
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Concatenating Lists
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Lists
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Dictionary
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Data Structure Functions
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Looping and Iteration
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For Loop
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While Loops
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List Comprehension
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Functions
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Functions
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Pip, Importing, and Help
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Methods and Classes
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Toolbox 3: Wolfram Alpha
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Contents
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Video 1: Basics
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Video 2: Special Cases
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Ready to Dive Into Supply Chain Analytics?
Enroll now to access expert guidance, comprehensive curriculum, and a supportive learning environment. Take the first step towards mastering supply chain management.