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
Sponsored by Louisiana Workforce Commission
5,593 already enrolled
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
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.
- 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
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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
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4.7
25 reviews
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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!
JD
5
Reviewed on Feb 11, 2021
Very good course, but it requires a lot more of time dedication compared to the previous courses.
MS
4
Reviewed on Mar 13, 2021
Very good course, it was a big challgenge to me. I learned so much. I am very happy
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