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Data Science Project: MATLAB for the Real World

This course is part of Practical Data Science with MATLAB Specialization

Instructors: Michael Reardon

5,992 already enrolled

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4 modules

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

4 modules

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

Matlab

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

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

There are 4 modules in this course

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.

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

5 videos Total 15 minutes

Practical Data Science with MATLAB 4 minutes
Instructor Introduction 3 minutes
Introduction to the Capstone Project 3 minutes
Creating the Taxi Regions 3 minutes
Preparing Your Dataset 3 minutes

6 readings Total 65 minutes

Overview of the Capstone Project 15 minutes
Access MATLAB 15 minutes
Data and Code Files 5 minutes
Tasks for Creating the Taxi Regions 10 minutes
Tasks for Exploring and Cleaning the Taxi Data 10 minutes
Tasks for Creating the Grouped Summary Table 10 minutes

2 assignments Total 80 minutes

Exploring the Taxi Data by Region 30 minutes
Exploring the Grouped Summary Table 50 minutes

1 discussion prompt Total 10 minutes

What does your initial analysis tell you? 10 minutes

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

1 video Total 3 minutes

Introduction to Module 2 3 minutes

3 readings Total 30 minutes

Your Tasks for the Module 10 minutes
Create the Response Variable 10 minutes
Creating and Evaluating Features 10 minutes

2 assignments Total 70 minutes

Exploring the Demand for Taxis 30 minutes
Which Features are Important? 40 minutes

1 discussion prompt Total 10 minutes

What other features might help? 10 minutes

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

2 videos Total 5 minutes

Introduction to Module 3 2 minutes
Preparing for Your Final Report 3 minutes

3 readings Total 40 minutes

Your Modeling Tasks 10 minutes
Your Analysis Tasks 10 minutes
Data Science Report Requirements 20 minutes

1 assignment Total 10 minutes

How Does Your Model Perform? 10 minutes

1 peer review Total 240 minutes

Your Analysis of Taxi Demand 240 minutes

1 discussion prompt Total 10 minutes

What choices did you make and why? 10 minutes

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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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)

Michael Reardon

MathWorks

4 Courses 55,698 learners

Offered by

MathWorks

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Reviewed on Jan 26, 2021

A very good project on classification problems. Thank you so much!

Reviewed on Mar 13, 2021

Very good course, it was a big challgenge to me. I learned so much. I am very happy

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.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.