Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data.
Data Science Project: MATLAB for the Real World
Ends in 5 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.
Data Science Project: MATLAB for the Real World
This course is part of Practical Data Science with MATLAB Specialization
Instructors: Michael Reardon
6,031 already enrolled
Included with Learn more
Gain insight into a topic and learn the fundamentals.
25 reviews
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
What you'll learn
Apply a full data science workflow, including importing & cleaning data, creating features, training machine learning models, & evaluating results
Effectively communicate results by identifying your target audience & creating meaningful visualizations
Create a final report that includes text, code, & visualizations to share with colleagues
Skills you'll gain
- Data Preprocessing
- Model Optimization
- Machine Learning Methods
- Machine Learning
- Feature Engineering
- Data Analysis
- Predictive Modeling
- Model Training
- Data Storytelling
- Data Visualization
- Technical Communication
- Data Wrangling
- Applied Machine Learning
- Data Science
- Exploratory Data Analysis
- Model Evaluation
- Data Processing
- Data Import/Export
- Data Presentation
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Flexible schedule
Learn at your own pace
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
There are 4 modules in this course
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
Instructor ratings
(10 ratings)Offered by
Explore more from Data Analysis
MathWorks
Johns Hopkins University
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
- 5 stars
76%
- 4 stars
20%
- 3 stars
4%
- 2 stars
0%
- 1 star
0%
Showing 3 of 25
MA
Reviewed on Mar 28, 2021
The capstone project gives full autonomy to the learner to execute the project in whichever way he deems good, which is a great learning step in the data science workflow
AN
Reviewed on Apr 14, 2021
I just loved this whole specialization. Thanks, Mathworks and all instructors for these awesome courses. One of the best in Coursera. Looking forward to Deep Learning, CNN courses next from you.
JD
Reviewed on Feb 11, 2021
Very good course, but it requires a lot more of time dedication compared to the previous courses.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.