- Data Manipulation
- Exploratory Data Analysis
- Applied Machine Learning
- Data Science
- Data Transformation
- Supply Chain
- Operations Research
- Data Wrangling
- Jupyter
- NumPy
- Data Cleansing
- Data Preprocessing
Fundamentals of Machine Learning for Supply Chain
Completed by Christos Logaras
September 8, 2022
13 hours (approximately)
Christos Logaras'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
