Will I earn university credit for completing the Specialization?

No this is not a university course.

What will I be able to do upon completing the Specialization?

You will be able to use statistical models and machine learning to analyze retail stock and predict future sales as well as how many items to stock.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Machine Learning for Supply Chains Specialization

Use Machine Learning in the Supply Chain. You will learn to use machine language techniques to analyze and predict retail stock in the supply chain.

Instructors: Neelesh Tiruviluamala

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

3.7

(66 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

3.7

(66 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

This specialization is intended for students who wish to use machine language to analyze and predict product usage and other similar tasks. There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.

Applied Learning Project

You will learn and practice skills as you go through each of the courses, using the Coursera lab environment. The final course is a capstone project where you will analyze data and make predictions about retail product usage, and then calculate optimal safety stock storage.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

17 practice exercises

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

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from LearnQuest

Specialization - 4 course series

Applied Learning Project

Fundamentals of Machine Learning for Supply Chain

Course 113 hours

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

Skills you'll gain

Python Programming, Data Structures, Data Manipulation, NumPy, Programming Principles, Data Analysis, Pandas (Python Package), Data Transformation, Operations Research, Data Wrangling, Data Cleansing, Plot (Graphics), Applied Machine Learning, Exploratory Data Analysis, Data Science, Computer Programming, and Supply Chain

Demand Forecasting Using Time Series

Course 29 hours

What you'll learn

Building ARIMA models in Python to make demand predictions
Developing the framework for more advanced neural netowrks (such as LSTMs) by understanding autocorrelation and autoregressive models.

Skills you'll gain

Time Series Analysis and Forecasting, Regression Analysis, Correlation Analysis, Forecasting, Trend Analysis, Predictive Analytics, Exploratory Data Analysis, Plot (Graphics), Predictive Modeling, Matplotlib, Applied Machine Learning, Demand Planning, Machine Learning, Statistical Modeling, Pandas (Python Package), Supply Chain Management, Data Visualization, Data Analysis, Customer Demand Planning, and Python Programming

Advanced AI Techniques for the Supply Chain

Course 322 hours

What you'll learn

In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps. We’ll end with a project incorporating advanced techniques with an image classification problem to find faulty products coming out of a machine.

Skills you'll gain

Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Supply Chain Management, Supervised Learning, Predictive Modeling, Customer Demand Planning, Classification And Regression Tree (CART), Natural Language Processing, Demand Planning, Supply Chain, Machine Learning, Anomaly Detection, Statistical Modeling, and Random Forest Algorithm

Capstone Project: Predicting Safety Stock

Course 410 hours

What you'll learn

Calcualte safety stock using SARIMA predictions combined with manipulaitng lead times.

Skills you'll gain

Predictive Modeling, Predictive Analytics, Time Series Analysis and Forecasting, Exploratory Data Analysis, Pandas (Python Package), Feature Engineering, Statistical Modeling, Data Analysis, Data Transformation, Data Manipulation, Data Wrangling, Inventory Management System, Demand Planning, Forecasting, Inventory Management, Machine Learning, Matplotlib, Inventory Control, and Data Visualization

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Neelesh Tiruviluamala

LearnQuest

8 Courses19,447 learners

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Frequently asked questions

To complete all four courses, you will spend 3-5 hours per week for 13 weeks.

Machine learning is mathematical. There are no specific background requirements, but knowledge of algebra and calculus will be helpful, as well as a general understanding of supply chain concepts.

Yes, the courses build knowledge as they progress so we recommend taking them in order.

Machine Learning for Supply Chains Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

Advance your subject-matter expertise

Specialization - 4 course series

Fundamentals of Machine Learning for Supply Chain

What you'll learn

Skills you'll gain

Demand Forecasting Using Time Series

What you'll learn

Skills you'll gain

Advanced AI Techniques for the Supply Chain

What you'll learn

Skills you'll gain

Capstone Project: Predicting Safety Stock

What you'll learn

Skills you'll gain

Earn a career certificate

Instructors

Offered by

Compare with similar products

You might also like

Related skills

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

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

Frequently asked questions

More questions

Machine Learning for Supply Chains Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

Advance your subject-matter expertise

Specialization - 4 course series

Fundamentals of Machine Learning for Supply Chain

What you'll learn

Skills you'll gain

Demand Forecasting Using Time Series

What you'll learn

Skills you'll gain

Advanced AI Techniques for the Supply Chain

What you'll learn

Skills you'll gain

Capstone Project: Predicting Safety Stock

What you'll learn

Skills you'll gain

Earn a career certificate

Instructors

Offered by

Compare with similar products

You might also like

Related skills

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

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

Frequently asked questions

How long does it take to complete the Specialization?

What background knowledge is necessary?

Do I need to take the courses in a specific order?

More questions