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

Erin Byrne +7 more instructors

Offered By

Practical Data Science with MATLAB SpecializationMathWorks

About this Course

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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.

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Course 1 of 4 in the

Practical Data Science with MATLAB Specialization

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Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 19 hours to complete

English

Subtitles: English

Skills you will gain

Data AnalysisData Visualization (DataViz)Matlab

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

Practical Data Science with MATLAB Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 19 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.8/5 (146 Ratings)

Offered by

MathWorks

Accelerating the pace of discovery, innovation, development, and learning in engineering and science.

Syllabus - What you will learn from this course

Content Rating97%(2,695 ratings)

Week

Week 1

3 hours to complete

Introduction to the Data Science Workflow

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.

3 hours to complete

11 videos (Total 39 min), 4 readings, 2 quizzes

11 videos

Practical Data Science with MATLAB3m

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

Week 2

3 hours to complete

Importing Data

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.

3 hours to complete

8 videos (Total 20 min), 1 reading, 2 quizzes

8 videos

Introduction to Module 2: Importing Data59s

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

Week 3

2 hours to complete

Visualizing and Filtering Data

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.

2 hours to complete

5 videos (Total 15 min)

5 videos

Introduction to Module 3: Visualizing and Filtering Data1m

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 Data30m

Practice Questions5m

Quiz 3: Visualizing and Accessing Data in Tables45m

Week

Week 4

7 hours to complete

Performing Calculations

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.

7 hours to complete

11 videos (Total 41 min), 4 readings, 11 quizzes

11 videos

Introduction to Module 4: Performing Calculations:1m

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

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, 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.
Will I have access to MATLAB?
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.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Exploratory Data Analysis with MATLAB