This course is part of the Practical Data Science with MATLAB Specialization

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Michael Reardon +11 more instructors

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Practical Data Science with MATLAB SpecializationMathWorks

About this Course

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In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling.  This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.  
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB. 

Throughout the course, you will merge data from different data sets and handle common scenarios, such as missing data.  In the last module of the course, you will explore special techniques for handling textual, audio, and image data, which are common in data science and more advanced modeling.   By the end of this course, you will learn how to visualize your data, clean it up and arrange it for analysis, and identify the qualities necessary to answer your questions.  You will be able to visualize the distribution of your data and use visual inspection to address artifacts that affect accurate modeling.

Flexible deadlines

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Course 2 of 4 in the

Practical Data Science with MATLAB Specialization

Intermediate Level

Approx. 20 hours to complete

English

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Skills you will gain

Feature Engineering
Matlab
Data Cleansing

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Practical Data Science with MATLAB Specialization

Intermediate Level

Approx. 20 hours to complete

English

Could your company benefit from training employees on in-demand skills?

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Instructors

Instructor rating

4.71/5 (96 Ratings)

Offered by

MathWorks

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Syllabus - What you will learn from this course

Content Rating96%(1,154 ratings)

Week

Week 1

3 hours to complete

Surveying Your Data

3 hours to complete

10 videos (Total 46 min), 4 readings, 2 quizzes

10 videos

Practical Data Science with MATLAB3m

Overview of Data Processing and Feature Engineering3m

Instructor Introduction2m

Introduction to Module 11m

Introduction to the Flights Dataset7m

Exploring the Flights Dataset5m

Describing Distributions6m

Examples of Distributions5m

Visualizing Multidimensional Data8m

Summary of Module 1: Surveying Your Data2m

4 readings

Access MATLAB15m

Data and Code Files15m

Variables in the Flights Dataset15m

Practice Visualizing Multidimensional Data45m

2 practice exercises

Understanding the Flights Dataset20m

Module 1 Quiz30m

Week

Week 2

3 hours to complete

Organizing Your Data

3 hours to complete

8 videos (Total 34 min), 2 readings, 3 quizzes

Week

Week 3

3 hours to complete

Cleaning Your Data

3 hours to complete

9 videos (Total 44 min), 2 readings, 3 quizzes

9 videos

Introduction to Module 3: Cleaning Your Data1m

Identifying Missing Data6m

Handling Missing Data5m

Identifying Outliers5m

Investigating Outliers6m

Normalizing Data4m

Examples of Normalizing Data4m

Smoothing Data7m

Summary of Module 3: Cleaning Your Data1m

2 readings

Practice Working with Outliers1h

Cleaning Data: Analyzing Flight Volume30m

2 practice exercises

Practice Quiz: Putting it all Together15m

Quiz 3: Cleaning Your Data40m

Week

Week 4

4 hours to complete

Finding Features that Matter

4 hours to complete

7 videos (Total 35 min), 5 readings, 2 quizzes

7 videos

Introduction to Module 4: Finding Features that Matter2m

Introduction to Feature Engineering5m

Introduction to Unsupervised Learning3m

Introduction to Clustering Algorithms6m

Evaluating Features8m

Introduction to Dimensionality Reduction and PCA5m

Summary of Module 4: Finding Features that Matter1m

5 readings

Examples of Feature Engineering30m

Practice Clustering Data30m

K-means Clustering15m

Applying Filter Methods30m

Applying PCA45m

1 practice exercise

Quiz 4: Finding Features that Matter45m

Reviews

4.7

107 reviews

5 stars
76.34%
4 stars
18.61%
3 stars
3.15%
1 star
1.89%

TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB

by GVApr 23, 2020

Excellent videos, very good datasets, well-thought examples. Only the section with images (in module 5) was rather weak.

by ETOct 16, 2020

The course if a little bit challenging but in a good way. The examples and practice quizzes were very useful. Although some videos need improvement

by ATJul 9, 2020

The course was easy to follow and the sections in the week 5 module showed some real life applications of the methods learnt throughout the course.

by RRFeb 20, 2021

The course on Data Processing and Feature Engineering with MATLAB charms me extremely . It covers all the area , like image, signal and text processing with feature engineering.

View all reviews

About the Practical Data Science with MATLAB Specialization

Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?

Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups. This specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation). Throughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Will I have access to MATLAB?
Yes. A free license to MATLAB Online is available to learners enrolled in the course. You can view the supported browsers here.

More questions? Visit the Learner Help Center.

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Data Processing and Feature Engineering with MATLAB

About this Course

Skills you will gain

Instructors

Michael Reardon

Maria Gavilan-Alfonso

Erin Byrne

Amanda Wang

Cris LaPierre

Matt Rich

Brandon Armstrong

Adam Filion

Isaac Bruss

Nikola Trica

Brian Buechel

Heather Gorr

Offered by

MathWorks

Syllabus - What you will learn from this course

Surveying Your Data

Organizing Your Data

Cleaning Your Data

Finding Features that Matter

Domain-Specific Feature Engineering

Reviews

TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB

About the Practical Data Science with MATLAB Specialization

Frequently Asked Questions

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Data Processing and Feature Engineering with MATLAB

About this Course

Skills you will gain

Instructors

Michael Reardon

Maria Gavilan-Alfonso

Erin Byrne

Amanda Wang

Cris LaPierre

Matt Rich

Brandon Armstrong

Adam Filion

Isaac Bruss

Nikola Trica

Brian Buechel

Heather Gorr

Offered by

MathWorks

Syllabus - What you will learn from this course

Surveying Your Data

Organizing Your Data

Cleaning Your Data

Finding Features that Matter

Domain-Specific Feature Engineering

Reviews

TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB

About the Practical Data Science with MATLAB Specialization

Frequently Asked Questions

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Start or advance your career

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