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Exploratory Data Analysis with MATLAB

This course is part of Practical Data Science with MATLAB Specialization

Instructors: Erin Byrne

43,649 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

823 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

823 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

What you'll learn

Import large tabular datasets & customize the import options for your application
Extract subsets of data & compute statistics on groups of related data
Create customized visualizations to highlight the most relevant results from your analysis
Use interactive tools to explore, analyze, & visual data with automated code generation for reproducing results

Skills you'll gain

Tools you'll learn

Matlab

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 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

There are 5 modules in this course

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.

These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.

In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.

What's included

11 videos4 readings2 assignments1 discussion prompt

11 videosTotal 39 minutes

Practical Data Science with MATLAB4 minutes
Overview of Exploratory Data Analysis with MATLAB3 minutes
Instructor Introduction3 minutes
Why Do We Need Data Science?4 minutes
MATLAB as a Data Science Tool6 minutes
Getting Started with MATLAB5 minutes
How to ask Good Questions of Your Data2 minutes
Interactive Data Exploration3 minutes
Overview of the Data Science Workflow4 minutes
The Workflow in Practice4 minutes
Summary of Module 1: The Data Science Workflow1 minute

4 readingsTotal 70 minutes

Access MATLAB15 minutes
Data and Code Files10 minutes
Introduction to Storm Events Data15 minutes
Use a Live Script: Explore 2013 Tornado Events30 minutes

2 assignmentsTotal 32 minutes

Tell us why you're here2 minutes
Quiz 1: Introduction to Data Science30 minutes

1 discussion promptTotal 10 minutes

What do you want to do with MATLAB?10 minutes

In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.

What's included

8 videos1 reading2 assignments1 discussion prompt

8 videosTotal 20 minutes

Introduction to Module 2: Importing Data1 minute
How Data is stored3 minutes
How MATLAB Represents Data4 minutes
How to Use the Import Tool3 minutes
MATLAB Data Types4 minutes
Why Automate the Import Process?2 minutes
Generating and Reusing Code2 minutes
Summary of Module 2: Importing Data1 minute

1 readingTotal 90 minutes

Overview of MATLAB Data Types90 minutes

2 assignmentsTotal 75 minutes

Practice Quiz30 minutes
Quiz 2: Importing Data45 minutes

1 discussion promptTotal 10 minutes

What does your data look like?10 minutes

In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.

What's included

5 videos3 assignments1 discussion prompt

5 videosTotal 15 minutes

Introduction to Module 3: Visualizing and Filtering Data2 minutes
Plotting Data Contained in Tables4 minutes
Selecting Data from Tables4 minutes
Accessing and Creating Table Variables4 minutes
Summary of Module 3: Visualizing and Filtering Data2 minutes

3 assignmentsTotal 65 minutes

Practice Selecting Data15 minutes
Practice Questions5 minutes
Quiz 3: Visualizing and Accessing Data in Tables45 minutes

1 discussion promptTotal 10 minutes

Choosing Visualizations10 minutes

In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.

What's included

11 videos4 readings1 assignment10 app items

11 videosTotal 44 minutes

Introduction to Module 4: Performing Calculations:2 minutes
Basic Mathematical Operations3 minutes
Using Vectors5 minutes
Using Functions3 minutes
Calculating Summary Statistics3 minutes
Correlations Between Variables4 minutes
Accessing Subsets of Data6 minutes
Introduction to Categorical Data6 minutes
Performing Group Calculations6 minutes
Visualizing Results6 minutes
Summary of Module 4: Performing Calculations2 minutes

4 readingsTotal 150 minutes

Performing Calculations30 minutes
Performing Calculations with Vectors45 minutes
Relational and Logical Operators30 minutes
Calculations by Group45 minutes

1 assignmentTotal 70 minutes

Quiz 4: Exploratory Data Analysis70 minutes

10 app itemsTotal 150 minutes

Polynomial Creation15 minutes
Normal Probability Density Function15 minutes
Propeller Thrust Model15 minutes
Thunderstorm Crop Damage Distribution15 minutes
Flooding by Latitude15 minutes
Automobiles from the 70's and 80's15 minutes
Lightning Strikes with Recorded Damage15 minutes
Body Mass Index15 minutes
Thunderstorm Total Damage15 minutes
Thunderstorm Summary15 minutes

In this module you’ll create live scripts with interactive controls. Then you’ll create your own analysis of a weather event to submit as a peer-reviewed assignment.

What's included

4 videos2 readings2 assignments1 plugin

4 videosTotal 19 minutes

Documenting Your Work2 minutes
Creating a Live Script9 minutes
Adding Interactive Controls to a Live Script6 minutes
Summary of Exploratory Data Analysis with MATLAB2 minutes

2 readingsTotal 70 minutes

Create a Live Script60 minutes
Introduction to the Final Project10 minutes

2 assignmentsTotal 70 minutes

Practice Communicating Your Data and Telling a Story10 minutes
Project: Analyzing the Impact of Hurricane Harvey60 minutes

1 pluginTotal 1 minute

Complete the Course Survey1 minute

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(241 ratings)

Erin Byrne

MathWorks

4 Courses56,244 learners

Michael Reardon

MathWorks

4 Courses56,244 learners

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MathWorks

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Learner reviews

5 stars
85.54%
4 stars
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3 stars
1.57%
2 stars
0.48%
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Reviewed on Jul 14, 2020

The content of this course is just enough for proper understanding of the concepts and teaching methodology followed by the instructors is amazing and perfect.

Reviewed on Mar 23, 2021

I thoroughly enjoyed the course. I recommend it to everyone. It not only enhanced my MATLAB skills but also gave me new insights in Data Science and Analysis.

Reviewed on May 30, 2020

Great course for Data analysis and visualization through MATLAB.. The instructors are awesome!. The gave their best!!.. 🙏🙇thanks.

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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.

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

There are 5 modules in this course

Introduction to the Data Science Workflow

What's included

Importing Data

What's included

Visualizing and Filtering Data

What's included

Performing Calculations

What's included

Documenting Your Work

What's included

Earn a career certificate

Instructors

Offered by

Explore more from Data Analysis

Data Processing and Feature Engineering with MATLAB

Exploratory Data Analysis With Python and Pandas

Conducting Exploratory Data Analysis

Introduction to Data, Signal, and Image Analysis with MATLAB

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Learner reviews

Unlock access to 10,000+ courses with a subscription

Advance your career with an online degree

Join over 4,700 global companies that choose Coursera for Business

Frequently asked questions

Will I have access to MATLAB?

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Specialization?

More questions