In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.
Data Processing and Feature Engineering with MATLAB
New year. Big goals. Bigger savings. Unlock a year of unlimited access to learning with Coursera Plus for $199. Save now.
Data Processing and Feature Engineering with MATLAB
This course is part of Practical Data Science with MATLAB Specialization
Instructors: Michael Reardon
15,312 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(340 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 20 hours
Learn at your own pace
96%
Most learners liked this course
What you'll learn
Prepare data for further analysis by removing noise, identifying outliers, & merging data from multiple sources
Create and evaluate features for machine learning applications
Explore special techniques for handling textual, audio, & image data
Perform unsupervised machine learning
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Practical Data Science with MATLAB 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
In this module you'll apply the skills gained in Exploratory Data Analysis with MATLAB on a new dataset. You'll explore different types of distributions and calculate quantities like the skewness and interquartile range. You'll also learn about more types of plots for visualizing multi-dimensional data.
What's included
10 videos4 readings2 assignments1 discussion prompt
In this module you'll learn to prepare data for analysis. Often data is not recorded as required. You'll learn to manipulate string variables to extract key information. You'll create a single datetime variable from date and time information spread across multiple columns in a table. You'll efficiently load and combine data from multiple files to create a final table for analysis.
What's included
8 videos2 readings2 assignments1 app item1 discussion prompt
In this module you'll clean messy data. Missing data, outliers, and variables with very different scales can obscure trends in the data. You'll find and address missing data and outliers in a data set. You'll compare variables with different scales by normalizing variables.
What's included
9 videos2 readings2 assignments1 app item
In this module you'll create new features to better understand your data. You'll evaluate features to determine if a feature is potentially useful for making predictions.
What's included
7 videos5 readings1 assignment1 app item1 discussion prompt
In this module you'll apply the concepts from Modules 1 through 4 to different domains. You'll create and evaluate features using time-based signals such as accelerometer data from a cell phone. You'll use Apps in MATLAB to perform image processing and create features based on segmented images. You'll also use text processing techniques to find features in unstructured text.
What's included
11 videos5 readings4 assignments1 app item1 discussion prompt
Instructors
Instructor ratings
4.7 (105 ratings)Offered by
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
4.7
340 reviews
- 5 stars
76.53%
- 4 stars
18.18%
- 3 stars
3.51%
- 2 stars
0%
- 1 star
1.75%
Showing 3 of 340
D
4
Reviewed on Feb 7, 2020
Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow
MA
5
Reviewed on Apr 15, 2020
Great intro and additional learning into data analysis, handling, processing filtering plotting and manipulation with MATLAB.
NM
5
Reviewed on Oct 12, 2024
This course is a real deal, You have to take it if you're data analyst and specially working with matlab environment
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ 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
Yes. A free license to MATLAB Online is available to learners enrolled in the course. You can view the supported browsers here.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.