- Applied Machine Learning
- Scripting
- Python Programming
- Supply Chain
- Data Science
- Programming Principles
- Data Structures
- Pivot Tables And Charts
- Exploratory Data Analysis
- Data Manipulation
- Data Cleansing
- Operations Research
Fundamentals of Machine Learning for Supply Chain
Completed by Mohit Jugran
October 31, 2021
13 hours (approximately)
Mohit Jugran's account is verified. Coursera certifies their successful completion of Fundamentals of Machine Learning for Supply Chain
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
