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Building Visualizations with MATLAB

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.

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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

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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

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Linear algebra underpins data science, ensuring your foundation is strong will greatly aid your capability to grasp advanced topics.

Browse courses on Linear Algebra

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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

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Collaborate with peers to enhance your understanding of MATLAB code and best practices

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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

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Connect with professionals in the field and learn about the latest trends in data visualization

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Identify and register for a relevant conference or webinar
Attend sessions and workshops on data visualization
Network with speakers and attendees

Seven other activities

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Create a cheat sheet of data visualization techniques

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Creating a cheat sheet of the most essential data visualization techniques can help understand the relationships in data.

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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

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Attend a workshop to gain hands-on experience and expert guidance in data visualization techniques

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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

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Practice is essential for solidifying your understanding, reinforcement through application will help you retain knowledge.

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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

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Going beyond the basics will allow you to explore more sophisticated ways of representing data.

Browse courses on Data Visualization Best Practices

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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

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Apply your learning by creating a data visualization project that addresses a specific business or research question

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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

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Summarize your learning by creating a written piece that shares your insights on data visualization

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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

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Teaching and mentoring are excellent ways to refine your understanding of a subject.

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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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Marketing Manager

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.

See salaries and explore the career path for Sales Manager

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.

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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.

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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.

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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.

See salaries and explore the career path for Software Engineer

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.

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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.

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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.

The Truthful Art

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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.

Building Visualizations with MATLAB

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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