LearnQuest
Fundamentals of Machine Learning for Supply Chain
LearnQuest

Fundamentals of Machine Learning for Supply Chain

This course is part of Machine Learning for Supply Chains Specialization

Taught in English

Some content may not be translated

Rajvir Dua
Neelesh Tiruviluamala

Instructors: Rajvir Dua

3,010 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

3.9

(32 reviews)

Beginner level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.9

(32 reviews)

Beginner level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Machine Learning for Supply Chains Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

Welcome to the course! In this first module, we’ll learn about the fundamentals of programming and Python. We’ll start with basic data structures, functions, and loops and then some time becoming familiar with importing modules and libraries. Finally, we'll put our new skills to the test by optimizing a supply constraint problem using linear programming techniques.

What's included

12 videos5 readings3 quizzes4 programming assignments1 discussion prompt5 ungraded labs

In this next module, we'll dive into the most common tools used for data science: Python, and Numpy. We'll start with Numpy, getting used to np arrays and their main functionality. After getting familiar with loading in data of all types, we'll learn about some basic data description and cleaning techniques. We'll also learn to work with indexes and columns in Dataframes. We'll end with an introduction to plotting and summary statistics. We will use common supply chain data sets for our explorations

What's included

9 videos3 readings3 quizzes1 programming assignment1 discussion prompt2 ungraded labs

In this third module, we'll take our Pandas and Numpy skills to the next level, learning how to effectively combine and reshape data. We'll learn how to reshape data to fit with our needs through merges and pivots. This setup will help us tackle common data preprocessing steps necessary to run machine learning algorithms, such as one-hot encoding. Finally, we'll encounter the most important tools in our Pandas arsenal (Groupby-Apply-Transform) and explore its transformative functionality.

What's included

5 videos3 readings1 quiz1 programming assignment1 discussion prompt2 ungraded labs

In this final project, we'll take collection of various data sets involving warehouse capacities, product demand, and freight rates to optimize cost of producing and shipping products.

What's included

2 videos1 quiz1 programming assignment1 ungraded lab

Instructors

Instructor ratings
4.5 (11 ratings)
Rajvir Dua
LearnQuest
8 Courses12,752 learners

Offered by

LearnQuest

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 32

3.9

32 reviews

  • 5 stars

    43.75%

  • 4 stars

    28.12%

  • 3 stars

    9.37%

  • 2 stars

    9.37%

  • 1 star

    9.37%

RW
5

Reviewed on Jan 24, 2024

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions