- Data Analysis
- Data Structures
- Pandas (Python Package)
- Data Preprocessing
- Pivot Tables And Charts
- Scripting
- NumPy
- Exploratory Data Analysis
- Supply Chain
- Data Wrangling
- Operations Research
- Data Science
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
