MathWorks
Data Science Project: MATLAB for the Real World
MathWorks

Data Science Project: MATLAB for the Real World

Michael Reardon
Maria Gavilan-Alfonso
Erin Byrne

Instructors: Michael Reardon

5,517 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
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

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Assessments

5 assignments

Taught in English

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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
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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

Instructors

Instructor ratings
4.9 (10 ratings)
Michael Reardon
MathWorks
4 Courses51,684 learners

Offered by

MathWorks

Recommended if you're interested in Data Analysis

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4.7

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