About this Course

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

N​o background required, though some general knowledge of supply chain will be helpful.

Approx. 13 hours to complete
English

What you will learn

  • L​earn to merge, clean, and manipulate data using Python libraries such as Numpy and Pandas

  • G​ain familiarity with the basic and advaned Python functonalities such as importing and using modules, list compreohensions, and lambda functions.

  • S​olve a supply chain cost optimization problem using Linear Programming with Pulp

Skills you will gain

Data SciencePandasNumpySupply ChainLinear Programming (LP)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

N​o background required, though some general knowledge of supply chain will be helpful.

Approx. 13 hours to complete
English

Offered by

Placeholder

LearnQuest

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Introduction to Programming Concepts and Python Practices

4 hours to complete
12 videos (Total 45 min), 5 readings, 7 quizzes
Week
2

Week 2

3 hours to complete

Digging Into Data: Common Tools for Data Science

3 hours to complete
9 videos (Total 34 min), 3 readings, 4 quizzes
Week
3

Week 3

3 hours to complete

Higher Level Data Wrangling and Manipulation

3 hours to complete
5 videos (Total 23 min), 3 readings, 2 quizzes
Week
4

Week 4

3 hours to complete

Course 1 Final Project

3 hours to complete
2 videos (Total 8 min)

About the Machine Learning for Supply Chains Specialization

Machine Learning for Supply Chains

Frequently Asked Questions

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