- Scripting
- Data Preprocessing
- Data Structures
- Plot (Graphics)
- Pivot Tables And Charts
- Data Cleansing
- Exploratory Data Analysis
- Operations Research
- Supply Chain
- Jupyter
- Data Wrangling
- Data Manipulation
Fundamentals of Machine Learning for Supply Chain
Completed by Mawaddah yousif Bantan
November 5, 2021
13 hours (approximately)
Mawaddah yousif Bantan'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
