About this Specialization

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 10 hours/week

English

Subtitles: English

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 10 hours/week

English

Subtitles: English

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

Exploratory Data Analysis with MATLAB

4.9
stars
90 ratings
32 reviews
Course2

Course 2

Data Processing and Feature Engineering with MATLAB

4.9
stars
10 ratings
5 reviews
Course3

Course 3

Predictive Modeling and Machine Learning with MATLAB

Course4

Course 4

Data Science Project: MATLAB for the Real World

Instructors

Image of instructor, Nikola Trica

Nikola Trica 

Senior Online Content Developer
MathWorks
Image of instructor, Maria Gavilan-Alfonso

Maria Gavilan-Alfonso 

Senior Online Content Developer
MathWorks
Image of instructor, Heather Gorr

Heather Gorr 

Senior Product Manager
MathWorks
Image of instructor, Isaac Bruss

Isaac Bruss 

Online Content Developer
MathWorks
Image of instructor, Brian Buechel

Brian Buechel 

Online Content Developer
MathWorks
Image of instructor, Michael Reardon

Michael Reardon 

Senior Online Content Developer
MathWorks
Image of instructor, Matt Rich

Matt Rich 

Online Content Developer
MathWorks
Image of instructor, Adam Filion

Adam Filion 

Senior Product Manager
MathWorks
Image of instructor, Erin Byrne

Erin Byrne 

Senior Course Developer
MathWorks
Image of instructor, Brandon Armstrong

Brandon Armstrong 

Senior Online Content Developer
MathWorks
Image of instructor, Cris LaPierre

Cris LaPierre 

Senior Online Content Developer
MathWorks

About MathWorks

Accelerating the pace of discovery, innovation, development, and learning in engineering and science....

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.

  • Basic math, statistics and some experience working with spreadsheets will be helpful. No prior experience with MATLAB or programming is necessary.

  • You will be able to:

    • Import data from a variety of sources into MATLAB
    • Create compelling visualizations
    • Analyze and calculate statistics on groups of data
    • Perform common data cleaning techniques
    • Identify and create new features for machine learning models
    • Apply common machine learning methods and evaluate their performance
  • It is recommended that you take the courses in order. The skills gained in course one is considered pre-requiste knowledge for course two.

More questions? Visit the Learner Help Center.