Monthly Subscription Starting at AED 99 + VAT

Fundamentals of Machine Learning for Supply Chain
  • Level Foundation
  • Duration 13 hours
  • Course by LearnQuest
  • Offered by

About

This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even if you are not familiar with supply chain fundamentals, the rich data sets that we will use as a canvas will help orient you with several Pythonic tools and best practices for exploratory data analysis (EDA). As such, though all datasets are geared towards supply chain minded professionals, the lessons are easily generalizable to other use cases.

Modules

Welcome to the Course

    • 3 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Welcome to the Course!

3 Videos

  • Welcome to the Course!
  • Why Python? Why Jupyter? Why ML?
  • Setting Up the Environment

Python Programming

    • 2 Videos
    • 1 Readings
    • 1 Lab
Show info about module content

1 Labs

  • The Playground

2 Videos

  • Module Introduction
  • Python and Jupyter Notebook Basics

1 Readings

  • Jupyter Notebook Basics

Data Structures for Data Science

    • 2 Videos
    • 1 Readings
    • 2 Lab
    • 2 Programming
    • 1 Assignment
Show info about module content

2 Programming

  • Lists
  • Dictionaries

1 Assignment

  • Data Structures Practice Quiz

2 Labs

  • Programming Assignment Solutions
  • Programming Assignment Solutions

2 Videos

  • Lists
  • Dictionaries

1 Readings

  • Python Docs: Data Structures

Loops and Functions

    • 2 Videos
    • 1 Readings
    • 2 Lab
    • 2 Programming
Show info about module content

2 Programming

  • Loops
  • Functions

2 Labs

  • Programming Assignment Solutions
  • Programming Assignment Solutions

2 Videos

  • Loops
  • Functions

1 Readings

  • Keyword Arguments

Libraries and Modules

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Libraries and Modules

1 Readings

  • Top 10 Python Libraries for Data Science

Linear Programming with Pulp

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Using Data Structures with Pulp

2 Videos

  • Linear Programming with Pulp (I)
  • Linear Programming with Pulp (II)

1 Readings

  • What is PuLP?

Introduction to Python Quiz

    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Python

Introduction to Pandas and Numpy (A Tale of Two Matrices)

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Numpy Basics

2 Videos

  • Module Introduction
  • Introduction to Pandas and Numpy (A Tale of Two Matrices)

1 Readings

  • Numpy Quickstart

Deep Dive into Numpy

    • 3 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Case Studies with Numpy

3 Videos

  • Deep Dive into Numpy (Part I)
  • Deep Dive Into Numpy (Part II)
  • Deep Dive Into Numpy (III)

Introduction to Pandas

    • 3 Videos
    • 1 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Indexing DataFrames

3 Videos

  • Introduction to Pandas
  • Indexing in Pandas (I)
  • Indexing in Pandas (II)

1 Readings

  • Inputing Missing Data

Deep Dive into Pandas

    • 1 Videos
    • 1 Readings
    • 1 Lab
    • 1 Programming
    • 1 Assignment
Show info about module content

1 Programming

  • Pandas Timeseries Prediction and Plotting (Optional)

1 Assignment

  • Pandas

1 Labs

  • Programming Assignment Solutions

1 Videos

  • Pandas Deep Dive

1 Readings

  • 10 min to Pandas

Numpy and Pandas Quiz

    • 1 Assignment
Show info about module content

1 Assignment

  • Numpy and Pandas Quiz

Groupby, apply, transform

    • 3 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Using Groupby, apply, transform

3 Videos

  • Module Introduction
  • Groupby, apply
  • Groupby, apply, transform

1 Readings

  • Split-Apply-Combine

Beyond Basic Groupby

    • 2 Videos
    • 1 Lab
Show info about module content

1 Labs

  • Groupby and Sorting

2 Videos

  • Beyond Basic Groupby
  • Groupby Rolling

Combining Datasets and Reshaping Data

    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz: Combining Data

2 Readings

  • Iterating a Dataframe
  • List Comprehensions

Pandas Lab

    • 1 Lab
    • 1 Programming
Show info about module content

1 Programming

  • Finding Outliers

1 Labs

  • Programming Assignment Solutions

Math of Linear Programming

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Linear Programming

2 Videos

  • Math of Linear Programming I (Optional)
  • Math of Linear Programming II (Optional)

Course 1 Project: Filling Demand while Optimizing Cost

    • 1 Lab
    • 1 Programming
Show info about module content

1 Programming

  • Course 1 Project: Filling Demand while Optimizing Cost

1 Labs

  • Programming Assignment Solutions

Auto Summary

"Fundamentals of Machine Learning for Supply Chain" focuses on leveraging Python for complex supply chain datasets, offering foundational insights into Big Data and Analytics. Taught by Coursera, this 780-minute course emphasizes exploratory data analysis (EDA) with practical, generalizable lessons. Available through Starter and Professional subscriptions, it targets supply chain professionals and data enthusiasts alike.

Rajvir Dua
Instructors

Rajvir Dua

Neelesh Tiruviluamala
Instructors

Neelesh Tiruviluamala