We may earn an affiliate commission when you visit our partners.
Pratheerth Padman

This course aims to build and solidify your understanding of what data visualization is, why it is important, and eventually, how to build visualizations and customise them from your own datasets using MATLAB.

Read more

This course aims to build and solidify your understanding of what data visualization is, why it is important, and eventually, how to build visualizations and customise them from your own datasets using MATLAB.

There has been an explosion of data and abundance of data sources post-2010. If you’re a data analyst or are involved in data-driven decision making for your organization, understanding the data you’re provided with or obtained becomes crucial.

In this course, Building Visualizations with MATLAB, you'll focus on a key component in understanding your data - data visualization - and MATLAB has plenty of options to do just that.

First, you’ll start off with what data visualization is and why you need it. Next, you’ll see what univariate and bivariate visualizations are and how they could influence decision making in a business case scenario.

Finally, you’ll learn how to customize the visualizations you created before by adding and manipulating elements like titles, grids, subplots etc.

When you're finished with this course, you'll be able to produce and customize visualizations from any given dataset through MATLAB.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Overview
Exploring Data Visualizations in MATLAB
Customizing Visualizations in MATLAB

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces fundamental data visualization concepts using MATLAB, valuable for data analysis and decision-making
Suitable for individuals involved in data analysis or data-driven decision-making, providing a practical approach to data comprehension
Covers essential data visualization types, enabling learners to effectively communicate insights from data
Offers hands-on experience in customizing MATLAB visualizations, empowering learners to tailor them to specific needs
Provides a foundation for understanding and utilizing MATLAB's data visualization capabilities
Suitable for beginners seeking to build a strong foundation in data visualization using MATLAB

Save this course

Save Building Visualizations with MATLAB to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Visualizations with MATLAB with these activities:
Review linear algebra basics
Linear algebra underpins data science, ensuring your foundation is strong will greatly aid your capability to grasp advanced topics.
Browse courses on Linear Algebra
Show steps
  • Review your class notes or a linear algebra textbook
  • Solve practice problems online or from a textbook
  • Go through video tutorials on linear algebra concepts
Peer code review
Collaborate with peers to enhance your understanding of MATLAB code and best practices
Show steps
  • Join an online forum or study group for the course
  • Post your code for review by peers and instructors
  • Review and provide feedback on other students' code
Attend a data science conference or webinar
Connect with professionals in the field and learn about the latest trends in data visualization
Show steps
  • Identify and register for a relevant conference or webinar
  • Attend sessions and workshops on data visualization
  • Network with speakers and attendees
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Create a cheat sheet of data visualization techniques
Creating a cheat sheet of the most essential data visualization techniques can help understand the relationships in data.
Show steps
  • Identify the most common and useful data visualization techniques
  • Create a visual representation of each technique, including a description of its purpose and benefits
  • Organize the cheat sheet into logical categories or sections
Data visualization workshop
Attend a workshop to gain hands-on experience and expert guidance in data visualization techniques
Show steps
  • Identify and enroll in a data visualization workshop
  • Participate actively in the workshop activities
  • Apply the techniques learned in your own projects
Practice creating visualizations with different datasets
Practice is essential for solidifying your understanding, reinforcement through application will help you retain knowledge.
Show steps
  • Find different datasets online or from your own projects
  • Use MATLAB to load and explore the data
  • Create visualizations for each dataset, using a variety of techniques
  • Analyze the visualizations and draw conclusions from the data
Follow online tutorials on advanced data visualization techniques
Going beyond the basics will allow you to explore more sophisticated ways of representing data.
Show steps
  • Search for online tutorials on advanced data visualization techniques
  • Choose a tutorial that covers a technique you're interested in learning
  • Follow the tutorial step-by-step and implement the technique in MATLAB
Data visualization project
Apply your learning by creating a data visualization project that addresses a specific business or research question
Show steps
  • Identify a suitable dataset for data visualization
  • Explore and analyze data to identify key insights and trends
  • Design and implement data visualizations to communicate these insights effectively
  • Present your findings and visualizations to others for feedback
Blog post or article on data visualization
Summarize your learning by creating a written piece that shares your insights on data visualization
Show steps
  • Identify a specific topic or technique in data visualization
  • Research and gather information from credible sources
  • Write an engaging and informative post or article
  • Publish your content on an online platform or share it with others
Mentor other students in data visualization
Teaching and mentoring are excellent ways to refine your understanding of a subject.
Show steps
  • Join a data visualization community or forum
  • Offer your help to students who are struggling with data visualization concepts
  • Provide guidance and support, sharing your knowledge and experience

Career center

Learners who complete Building Visualizations with MATLAB will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to provide insights that can help organizations make better decisions. This course in Building Visualizations with MATLAB is highly relevant for aspiring Data Analysts, as it provides the skills needed to create effective data visualizations. By learning how to communicate data insights visually, Data Analysts can make their findings more accessible and actionable for stakeholders.
Statistician
Statisticians collect, analyze, and interpret data to provide insights that can help organizations make better decisions. This course in Building Visualizations with MATLAB can be a valuable tool for aspiring Statisticians, as it provides the skills needed to create clear and concise data visualizations. By learning how to effectively communicate statistical findings, Statisticians can make their findings more accessible and actionable for stakeholders.
Data Scientist
Data Scientists are in high demand as organizations seek to make data-driven decisions. This course in Building Visualizations with MATLAB can be a useful tool for aspiring Data Scientists, as it provides a solid foundation in data visualization techniques. By learning how to create and customize visualizations, you can effectively communicate insights derived from data analysis, which is a key skill for Data Scientists.
Business Analyst
Business Analysts play a crucial role in helping organizations understand their data and make informed decisions. This course in Building Visualizations with MATLAB can be a valuable asset for Business Analysts, as it provides the skills needed to create clear and concise data visualizations. By learning how to effectively communicate data insights, Business Analysts can help stakeholders make better decisions.
Market Researcher
Market Researchers gather and analyze data to understand consumer behavior and market trends. This course in Building Visualizations with MATLAB can be a valuable tool for aspiring Market Researchers, as it provides the skills needed to create clear and compelling data visualizations. By learning how to effectively communicate market research findings, Market Researchers can help organizations make better decisions about product development and marketing strategies.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course in Building Visualizations with MATLAB can be a valuable tool for aspiring Quantitative Analysts, as it provides the skills needed to create clear and concise data visualizations. By learning how to effectively communicate financial data, Quantitative Analysts can help investors make informed decisions.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies and make investment recommendations. This course in Building Visualizations with MATLAB can be a useful tool for aspiring Financial Analysts, as it provides the skills needed to create clear and concise data visualizations. By learning how to effectively communicate financial data, Financial Analysts can help investors make informed decisions.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course in Building Visualizations with MATLAB may be useful for aspiring Marketing Managers who are interested in using data visualization to inform marketing decisions. By learning how to create and customize visualizations, Marketing Managers can gain a better understanding of how to present data in a clear and concise manner that can be used to make informed decisions.
Sales Manager
Sales Managers are responsible for leading and managing sales teams. This course in Building Visualizations with MATLAB may be useful for aspiring Sales Managers who are interested in using data visualization to inform sales decisions. By learning how to create and customize visualizations, Sales Managers can gain a better understanding of how to present data in a clear and concise manner that can be used to make informed decisions.
Product Manager
Product Managers are responsible for overseeing the development and launch of new products. This course in Building Visualizations with MATLAB may be useful for aspiring Product Managers who are interested in using data visualization to inform product decisions. By learning how to create and customize visualizations, Product Managers can gain a better understanding of how to present data in a clear and concise manner that can be used to make informed decisions.
Operations Manager
Operations Managers are responsible for overseeing the day-to-day operations of a business. This course in Building Visualizations with MATLAB may be useful for aspiring Operations Managers who are interested in using data visualization to inform operational decisions. By learning how to create and customize visualizations, Operations Managers can gain a better understanding of how to present data in a clear and concise manner that can be used to make informed decisions.
Web Developer
Web Developers design and develop websites and web applications. This course in Building Visualizations with MATLAB may be useful for aspiring Web Developers who are interested in creating data visualization applications for the web. By learning how to create and customize visualizations, Web Developers can gain a better understanding of how to present data in a clear and concise manner on the web.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course in Building Visualizations with MATLAB may be useful for aspiring Software Engineers who are interested in developing data visualization applications. By learning how to create and customize visualizations, Software Engineers can gain a better understanding of how to present data in a clear and concise manner.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that collect, store, and process data. This course in Building Visualizations with MATLAB may be useful for aspiring Data Engineers, as it provides a foundation in data visualization techniques. By learning how to create and customize visualizations, Data Engineers can gain a better understanding of the data they are working with and communicate insights more effectively.
UX Designer
UX Designers are responsible for designing the user experience of websites, apps, and other digital products. This course in Building Visualizations with MATLAB may be useful for aspiring UX Designers who are interested in creating data visualization applications. By learning how to create and customize visualizations, UX Designers can gain a better understanding of how to present data in a clear and concise manner that is easy for users to understand.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Visualizations with MATLAB.
Provides a comprehensive introduction to the principles of effective data visualization. It valuable resource for anyone who wants to learn more about how to create visualizations that are both accurate and persuasive.
Provides a comprehensive introduction to data visualization, covering both the theory and practice of creating effective visualizations. It valuable resource for anyone who wants to learn more about data visualization, regardless of their level of experience.
Provides a comprehensive introduction to data visualization with Python and JavaScript. It valuable resource for anyone who wants to learn more about data visualization in these languages.
Provides a comprehensive introduction to data visualization with R. It valuable resource for anyone who wants to learn more about data visualization in R.
Provides a comprehensive introduction to data visualization with Python. It valuable resource for anyone who wants to learn more about data visualization in Python.
Provides a practical guide to creating effective data visualizations. It valuable resource for anyone who wants to learn more about how to choose the right chart type for their data and how to design visualizations that are both visually appealing and informative.
Provides a comprehensive introduction to data visualization. It valuable resource for anyone who wants to learn more about the principles of effective data visualization.
Provides a comprehensive introduction to the ggplot2 package in R, which is one of the most popular data visualization libraries. It valuable resource for anyone who wants to learn more about data visualization in R.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Building Visualizations with MATLAB.
Getting Started with Matplotlib
Most relevant
Build Your First Data Visualization with Seaborn
Most relevant
Build Your First Data Visualization with Altair 4
Most relevant
Analyzing Data Visualization Requirements
Most relevant
Build Your First Data Visualization with Chart.js 2
Most relevant
Plotting Data with Pandas
Most relevant
Use Tableau for your Data Science Workflow
Most relevant
Designing Data Visualizations
Most relevant
Advanced Data Visualization with Tableau
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser