This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even if you are not familiar with supply chain fundamentals, the rich data sets that we will use as a canvas will help orient you with several Pythonic tools and best practices for exploratory data analysis (EDA). As such, though all datasets are geared towards supply chain minded professionals, the lessons are easily generalizable to other use cases.
This course is part of the Machine Learning for Supply Chains Specialization
Offered By

About this Course
No background required, though some general knowledge of supply chain will be helpful.
What you will learn
Learn to merge, clean, and manipulate data using Python libraries such as Numpy and Pandas
Gain familiarity with the basic and advaned Python functonalities such as importing and using modules, list compreohensions, and lambda functions.
Solve a supply chain cost optimization problem using Linear Programming with Pulp
Skills you will gain
- Data Science
- Pandas
- Numpy
- Supply Chain
- Linear Programming (LP)
No background required, though some general knowledge of supply chain will be helpful.
Offered by
Syllabus - What you will learn from this course
Introduction to Programming Concepts and Python Practices
Digging Into Data: Common Tools for Data Science
Higher Level Data Wrangling and Manipulation
Course 1 Final Project
About the Machine Learning for Supply Chains Specialization

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