- Programming Principles
- Data Transformation
- Exploratory Data Analysis
- Data Science
- Applied Machine Learning
- Data Analysis
- Supply Chain
- Data Preprocessing
- NumPy
- Python Programming
- Data Structures
- Data Manipulation
Fundamentals of Machine Learning for Supply Chain
Completed by Azadeh Rahmdel
March 4, 2022
13 hours (approximately)
Azadeh Rahmdel'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
