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
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5,985 already enrolled
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
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
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
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
There are 4 modules in this course
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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
AS
Reviewed on Jan 26, 2021
A very good project on classification problems. Thank you so much!
JD
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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