About this Course

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Beginner Level

Approx. 26 hours to complete

Suggested: 5 weeks of study, 4 hours/week...

English

Subtitles: English

Skills you will gain

Data AnalysisData Visualization (DataViz)Matlab

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 26 hours to complete

Suggested: 5 weeks of study, 4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to the Data Science Workflow

2 hours to complete
11 videos (Total 39 min), 4 readings, 2 quizzes
11 videos
Overview of Exploratory Data Analysis with MATLAB2m
Instructor Introduction2m
Why Do We Need Data Science?4m
MATLAB as a Data Science Tool5m
How to ask Good Questions of Your Data2m
Interactive Data Exploration3m
Getting Started with MATLAB4m
Overview of the Data Science Workflow3m
The Workflow in Practice4m
Summary of Module 1: The Data Science Workflow1m
4 readings
Use a Live Script: Explore 2013 Tornado Events30m
Download and Install MATLAB15m
Data and Code Files10m
Introduction to Storm Events Data15m
2 practice exercises
Tell us why you're here2m
Quiz 1: Introduction to Data Science30m
Week
2

Week 2

3 hours to complete

Importing Data

3 hours to complete
8 videos (Total 20 min), 1 reading, 2 quizzes
8 videos
How Data is stored2m
How MATLAB Represents Data3m
How to Use the Import Tool3m
MATLAB Data Types4m
Why Automate the Import Process?1m
Generating and Reusing Code2m
Summary of Module 2: Importing Data1m
1 reading
Overview of MATLAB Data Types1h 30m
2 practice exercises
Practice Quiz30m
Quiz 2: Importing Data45m
Week
3

Week 3

1 hour to complete

Visualizing and Filtering Data

1 hour to complete
5 videos (Total 15 min)
5 videos
Plotting Data Contained in Tables4m
Selecting Data from Tables3m
Accessing and Creating Table Variables4m
Summary of Module 3: Visualizing and Filtering Data1m
3 practice exercises
Practice Selecting Data6m
Practice Questions5m
Quiz 3: Visualizing and Accessing Data in Tables45m
Week
4

Week 4

7 hours to complete

Performing Calculations

7 hours to complete
11 videos (Total 41 min), 4 readings, 11 quizzes
11 videos
Basic Mathematical Operations3m
Using Vectors4m
Using Functions2m
Calculating Summary Statistics2m
Correlations Between Variables3m
Accessing Subsets of Data5m
Introduction to Categorical Data5m
Performing Calculations by Category3m
Visualizing Results5m
Summary of Module 4: Performing Calculations1m
4 readings
Performing Calculations30m
Performing Calculations with Vectors45m
Relational and Logical Operators30m
Calculations by Group45m
1 practice exercise
Quiz 4: Exploratory Data Analysis1h 10m
4.9
29 ReviewsChevron Right

Top reviews from Exploratory Data Analysis with MATLAB

By FVDec 10th 2019

A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2

By CWDec 22nd 2019

Practicing part is more valuable than lecture videos in my opinion. Probably because it is just the first course of the specialization.

Instructors

Instructor rating4.76/5 (17 Ratings)Info
Image of instructor, Brandon Armstrong

Brandon Armstrong 

Senior Online Content Developer
MathWorks
3,836 Learners
2 Courses
Image of instructor, Maria Gavilan-Alfonso

Maria Gavilan-Alfonso 

Senior Online Content Developer
MathWorks
3,836 Learners
2 Courses
Image of instructor, Nikola Trica

Nikola Trica 

Senior Online Content Developer
MathWorks
3,836 Learners
2 Courses
Image of instructor, Cris LaPierre

Cris LaPierre 

Senior Online Content Developer
MathWorks
3,639 Learners
1 Course
Image of instructor, Michael Reardon

Michael Reardon 

Senior Online Content Developer
MathWorks
3,836 Learners
2 Courses
Image of instructor, Erin Byrne

Erin Byrne 

Senior Course Developer
MathWorks
3,836 Learners
2 Courses
Image of instructor, Adam Filion

Adam Filion 

Senior Product Manager
MathWorks
3,836 Learners
2 Courses
Image of instructor, Heather Gorr

Heather Gorr 

Senior Product Manager
MathWorks
3,836 Learners
2 Courses

Offered by

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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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.