Description for Fundamentals of ML for Supply Chain
Data Manipulation with Python: Teach yourself how to merge, sanitize, and manipulate datasets with Python libraries like Numpy and Pandas.
Advanced Python Functionalities: Become proficient in the application of lambda functions, the utilization of list comprehensions, and the importation of modules to facilitate efficient programming.
Exploratory Data Analysis (EDA): Create Pythonic skills and best practices for analyzing complex supply chain datasets, with techniques that are applicable to other disciplines.
Optimization of the Supply Chain: Utilize Linear Programming and the Pulp library to resolve a supply chain cost optimization issue.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by LearnQuest
Duration: 3 weeks at 4 hours a week
Schedule: Flexible
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