Exploratory Data Analysis with MATLAB

This course is part of Practical Data Science with MATLAB Specialization

Instructors: Erin Byrne

Access provided by HAECO Americas

43,169 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

821 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

821 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

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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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.

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Gain a foundational understanding of a subject or tool
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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 videos Total 39 minutes

Practical Data Science with MATLAB 4 minutes
Overview of Exploratory Data Analysis with MATLAB 3 minutes
Instructor Introduction 3 minutes
Why Do We Need Data Science? 4 minutes
MATLAB as a Data Science Tool 6 minutes
Getting Started with MATLAB 5 minutes
How to ask Good Questions of Your Data 2 minutes
Interactive Data Exploration 3 minutes
Overview of the Data Science Workflow 4 minutes
The Workflow in Practice 4 minutes
Summary of Module 1: The Data Science Workflow 1 minute

4 readings Total 70 minutes

Access MATLAB 15 minutes
Data and Code Files 10 minutes
Introduction to Storm Events Data 15 minutes
Use a Live Script: Explore 2013 Tornado Events 30 minutes

2 assignments Total 32 minutes

Tell us why you're here 2 minutes
Quiz 1: Introduction to Data Science 30 minutes

1 discussion prompt Total 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 videos Total 20 minutes

Introduction to Module 2: Importing Data 1 minute
How Data is stored 3 minutes
How MATLAB Represents Data 4 minutes
How to Use the Import Tool 3 minutes
MATLAB Data Types 4 minutes
Why Automate the Import Process? 2 minutes
Generating and Reusing Code 2 minutes
Summary of Module 2: Importing Data 1 minute

1 reading Total 90 minutes

Overview of MATLAB Data Types 90 minutes

2 assignments Total 75 minutes

Practice Quiz 30 minutes
Quiz 2: Importing Data 45 minutes

1 discussion prompt Total 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 videos Total 15 minutes

Introduction to Module 3: Visualizing and Filtering Data 2 minutes
Plotting Data Contained in Tables 4 minutes
Selecting Data from Tables 4 minutes
Accessing and Creating Table Variables 4 minutes
Summary of Module 3: Visualizing and Filtering Data 2 minutes

3 assignments Total 65 minutes

Practice Selecting Data 15 minutes
Practice Questions 5 minutes
Quiz 3: Visualizing and Accessing Data in Tables 45 minutes

1 discussion prompt Total 10 minutes

Choosing Visualizations 10 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 videos Total 44 minutes

Introduction to Module 4: Performing Calculations: 2 minutes
Basic Mathematical Operations 3 minutes
Using Vectors 5 minutes
Using Functions 3 minutes
Calculating Summary Statistics 3 minutes
Correlations Between Variables 4 minutes
Accessing Subsets of Data 6 minutes
Introduction to Categorical Data 6 minutes
Performing Group Calculations 6 minutes
Visualizing Results 6 minutes
Summary of Module 4: Performing Calculations 2 minutes

4 readings Total 150 minutes

Performing Calculations 30 minutes
Performing Calculations with Vectors 45 minutes
Relational and Logical Operators 30 minutes
Calculations by Group 45 minutes

1 assignment Total 70 minutes

Quiz 4: Exploratory Data Analysis 70 minutes

10 app items Total 150 minutes

Body Mass Index 15 minutes
Thunderstorm Total Damage 15 minutes
Thunderstorm Summary 15 minutes
Polynomial Creation 15 minutes
Normal Probability Density Function 15 minutes
Propeller Thrust Model 15 minutes
Thunderstorm Crop Damage Distribution 15 minutes
Flooding by Latitude 15 minutes
Automobiles from the 70's and 80's 15 minutes
Lightning Strikes with Recorded Damage 15 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 videos Total 19 minutes

Documenting Your Work 2 minutes
Creating a Live Script 9 minutes
Adding Interactive Controls to a Live Script 6 minutes
Summary of Exploratory Data Analysis with MATLAB 2 minutes

2 readings Total 70 minutes

Create a Live Script 60 minutes
Introduction to the Final Project 10 minutes

2 assignments Total 70 minutes

Practice Communicating Your Data and Telling a Story 10 minutes
Project: Analyzing the Impact of Hurricane Harvey 60 minutes

1 plugin Total 1 minute

Complete the Course Survey 1 minute

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Instructors

Instructor ratings

(241 ratings)

Erin Byrne

MathWorks

4 Courses 55,609 learners

Michael Reardon

MathWorks

4 Courses 55,609 learners

Offered by

MathWorks

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Reviewed on Apr 23, 2020

Clear and to the point. Polished presentation that packs alot of info into each lesson. I learned a lot and am looking forward to continuing the series.

Reviewed on Nov 9, 2020

Great comprehensive course, covers basics. included project uses real world examples that can really help with other projects that require MATLAB implementation

Reviewed on Jul 17, 2020

Good course for all, those who know Matlab from the past or who are new to Matlab. Great brush up of skills and practical knowledge for all!

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