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
Data Science Project: MATLAB for the Real World
This course is part of Practical Data Science with MATLAB Specialization
Instructors: Michael Reardon
5,575 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.7
(25 reviews)
Intermediate level
Some related experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
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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.
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- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
In this module you'll be introduced to the goals of the capstone project. You will complete the initial task of preparing a data set and performing an exploratory analysis.
What's included
5 videos6 readings2 assignments1 discussion prompt
In this module you'll perform feature engineering. You'll create a response variable and investigate the relationships between features and the response variable.
What's included
1 video3 readings2 assignments1 discussion prompt
In this module you will perform machine learning. You'll train and customize various models. Using validation data and common evaluation metrics you'll choose the most appropriate model for the problem.
What's included
2 videos3 readings1 assignment1 peer review1 discussion prompt
In this module, you'll learn a framework for creating a data science story and the importance of crafting your narrative for the intended audience, along with tips for creating meaningful visualizations.
What's included
2 videos2 readings1 discussion prompt1 plugin
Offered by
Recommended if you're interested in Data Analysis
MathWorks
Johns Hopkins University
SkillUp EdTech
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Learner reviews
4.7
25 reviews
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76%
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Showing 3 of 25
AS
5
Reviewed on Jan 26, 2021
A very good project on classification problems. Thank you so much!
AN
5
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
5
Reviewed on Feb 11, 2021
Very good course, but it requires a lot more of time dedication compared to the previous courses.
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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.