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.
Этот курс входит в специализацию ''Специализация Machine Learning for Supply Chains'
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Об этом курсе
No background required, though some general knowledge of supply chain will be helpful.
Чему вы научитесь
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
Приобретаемые навыки
- Data Science
- Pandas
- Numpy
- Supply Chain
- Linear Programming (LP)
No background required, though some general knowledge of supply chain will be helpful.
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Программа курса: что вы изучите
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
Специализация Machine Learning for Supply Chains: общие сведения

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