About this Course

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Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English

Skills you will gain

Feature EngineeringMatlabData Cleansing
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English

Offered by

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MathWorks

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Surveying Your Data

3 hours to complete
10 videos (Total 46 min), 4 readings, 2 quizzes
10 videos
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 Multi-Dimensional Data8m
Summary of Module 1: Surveying Your Data2m
4 readings
Download and Install 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
2

Week 2

3 hours to complete

Organizing Your Data

3 hours to complete
8 videos (Total 34 min), 2 readings, 3 quizzes
8 videos
Working with Strings7m
Working with Dates and Times4m
Importing Multiple Data Files4m
Combining Data5m
Joining Tables5m
Sorting Your Data3m
Summary of Module 2: Organizing Your Data2m
2 readings
Practice Working with Strings15m
Practice Using Dates and Times30m
2 practice exercises
Practice Working with Strings15m
Quiz 2: Organizing Your Data1h
Week
3

Week 3

3 hours to complete

Cleaning Your Data

3 hours to complete
9 videos (Total 44 min), 2 readings, 3 quizzes
9 videos
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
4

Week 4

4 hours to complete

Finding Features that Matter

4 hours to complete
7 videos (Total 35 min), 4 readings, 2 quizzes
7 videos
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
4 readings
Examples of Feature Engineering30m
Example of K-means Clustering15m
Applying Filter Methods30m
Applying PCA45m
1 practice exercise
Quiz 4: Finding Features that Matter45m

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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....
Practical Data Science with MATLAB

Frequently Asked Questions

  • 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.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.

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