About this Specialization

62,673 recent views
Learner Career Outcomes
46%
Started a new career after completing this specialization.
19%
Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 8 months to complete

Suggested 7 hours/week

English

Subtitles: English, Korean, Vietnamese, Chinese (Simplified), Arabic

Skills you will gain

Data Clustering AlgorithmsMachine LearningClassification AlgorithmsDecision Tree
Learner Career Outcomes
46%
Started a new career after completing this specialization.
19%
Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 8 months to complete

Suggested 7 hours/week

English

Subtitles: English, Korean, Vietnamese, Chinese (Simplified), Arabic

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Course 1

Machine Learning Foundations: A Case Study Approach

4.6
stars
9,379 ratings
2,252 reviews
Course2

Course 2

Machine Learning: Regression

4.8
stars
4,587 ratings
860 reviews
Course3

Course 3

Machine Learning: Classification

4.7
stars
2,995 ratings
493 reviews
Course4

Course 4

Machine Learning: Clustering & Retrieval

4.6
stars
1,847 ratings
317 reviews

Offered by

University of Washington logo

University of Washington

The logo of one of the Industry Partners

Reviews

TOP REVIEWS FROM MACHINE LEARNING

Frequently Asked Questions

  • 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, or you can audit it to view the course materials for free. 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.

  • 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.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 8 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • You should have some experience with computer programming; most assignments in this Specialization will use the Python programming language. This Specialization is designed specifically for scientists and software developers who want to expand their skills into data science and machine learning, but is appropriate for anyone with basic math and programming skills and an interest in deriving intelligence from data.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to use machine learning techniques to solve complex real-world problems, by identifying the right method for your task, implementing an algorithm, assessing and improving the algorithm’s performance, and deploying your solution as a service.

More questions? Visit the Learner Help Center.