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Analyzing Data Visualization Requirements

Being able to create visualizations is a powerful skill that you can learn. This course teaches you how to analyze your dataset and requirements, and how to adjust your visualization to create the most impactful visualization possible.

At the core of creating meaningful data visualizations is a thorough knowledge of understanding your data and your visualization requirements. In this course, Analyzing Data Visualization Requirements, you’ll learn how to prepare to build data visualizations. First, you’ll learn how to distinguish different types of data. Next, you’ll discover how to use visualizations to explore a dataset, or explain a point. Finally, you’ll examine how to adapt a visualization for a specific audience and medium. When you’re finished with this course, you’ll have a foundational knowledge of data visualizations that will help you as you move forward to create visualizations for your own datasets.

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What's inside

Syllabus

Course Overview

Visualizing Quantities or Qualities

Visualizing Numerical Data and Categories

Visualizing to Explain or Explore

Selecting Data to Explain or Explore

Displaying the Appropriate Level of Detail

Providing an Appropriate Visualization for Your Audience

Applying Data Visualization Requirement Analysis

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Helps learners build a foundational knowledge of data visualizations for creating visualizations for their own datasets

Taught by Chris Achard, who is recognized for their work in data visualization

Covers the fundamentals, such as understanding different data types and visualization techniques, as well as more advanced topics, such as adapting visualizations for a specific audience and medium

Provides hands-on practice with real-world datasets, helping learners develop their skills in data visualization

May be too introductory for experienced data visualization professionals

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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 Analyzing Data Visualization Requirements with these activities:

Practice distinguishing different types of data

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Build a strong foundation in understanding the different types of data, which is crucial for creating meaningful data visualizations.

Browse courses on Data Types

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Review the course materials on data types.
Complete the practice exercises on distinguishing data types.

Review basic principles of data visualization

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Ensure your understanding of the foundational principles of data visualization before starting the course

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Identify and define the main types of data visualization formats, e.g., bar charts, line graphs, pie charts, scatter plots, and histograms
Review the purpose and use of each type of visualization
Practice creating basic data visualizations using a visualization tool like Tableau or Google Data Studio

Review statistical concepts relevant to data visualization

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Brush up on statistical concepts to enhance your understanding of data visualization applications

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Review basic statistical measures such as mean, median, mode, and standard deviation
Understand the concept of sampling and its implications for data visualization
Explore statistical tests and their role in data visualization

Nine other activities

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Tutorial on using visualizations to explore a dataset

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Develop proficiency in using visualizations to gain insights from datasets, enhancing your ability to create impactful visualizations.

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Follow the step-by-step tutorial on using a specific visualization tool to explore a dataset.
Apply the techniques learned in the tutorial to your own datasets.

Explore data visualization best practices

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Supplement the course content by exploring best practices in data visualization to enhance your learning

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Research and read articles and blog posts on effective data visualization techniques
Follow online tutorials or workshops on data visualization best practices
Identify common pitfalls in data visualization and learn how to avoid them

Read 'Data Visualization: A Practical Introduction' by Andy Kirk

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Supplement your learning with a comprehensive guide that covers key concepts and techniques in data visualization

View Data Visualization: A Successful Design Process... on Amazon

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Read the book's chapters on data types, visual encodings, and design principles
Review the case studies and examples to understand real-world applications of data visualization
Apply the concepts and techniques in your own data visualization projects

Create a visualization to explain a point

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Hone your skills in creating visualizations that effectively communicate insights and tell compelling stories.

Browse courses on Data Storytelling

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Choose a topic and gather relevant data.
Select and customize an appropriate visualization type.
Design the visualization for clarity and impact.

Analyze and interpret data visualizations

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Gain hands-on experience in analyzing and interpreting data visualizations to improve your understanding

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Collect a dataset and create visualizations using different types of charts and graphs
Analyze the visualizations and identify patterns, trends, and insights
Write a report or presentation explaining the findings and insights derived from the visualizations

Lead a peer review session on data visualization

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Enhance your understanding by providing and receiving feedback on data visualizations, fostering a collaborative learning environment.

Browse courses on Peer Feedback

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Gather a group of peers and select visualizations for review.
Facilitate a discussion, providing constructive feedback and suggestions.
Reflect on the feedback received and make improvements to your own visualizations.

Create your own data visualizations

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Apply your learning by creating your own data visualizations to demonstrate your understanding

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Choose a dataset and identify the key insights you want to convey
Select appropriate visualization types based on the data and insights
Design and create the visualizations using a visualization tool
Share your visualizations with others and gather feedback

Contribute to open-source data visualization projects

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Enhance your practical skills and gain real-world experience by contributing to open-source data visualization projects

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Identify open-source data visualization projects that align with your skills and interests
Review the project documentation and identify areas where you can contribute
Submit pull requests or create issues to share your contributions
Collaborate with other contributors and learn from their expertise

Develop a data visualization dashboard

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Challenge yourself by developing a comprehensive data visualization dashboard to showcase your skills

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Determine the purpose and goals of the dashboard
Collect and prepare the required data
Design the dashboard layout and select appropriate visualizations
Implement the dashboard using a suitable tool or framework
Test and refine the dashboard based on user feedback

Career center

Learners who complete Analyzing Data Visualization Requirements will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are professionals who are responsible for **analyzing data**, identifying trends, and providing insights that can help businesses make informed decisions. This course, Analyzing Data Visualization Requirements, can help Data Analysts build the skills they need to create impactful data visualizations that communicate their findings effectively.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists are responsible for **analyzing data** and developing models that can help businesses make informed decisions. This course can help Data Scientists build the skills they need to create data visualizations that can communicate their findings clearly and effectively.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians are responsible for **analyzing data** and providing insights that can help businesses make informed decisions. This course can help Statisticians develop the skills they need to create data visualizations that can communicate their findings clearly and effectively.

See salaries and explore the career path for Statistician

Business Intelligence Analyst

Business Intelligence Analysts are responsible for **analyzing data** and providing insights that can help businesses improve their performance. This course can help Business Intelligence Analysts develop the skills they need to create data visualizations that can communicate their findings clearly and effectively.

See salaries and explore the career path for Business Intelligence Analyst

Market Research Analyst

Market Research Analysts are responsible for **analyzing data** and providing insights that can help businesses make informed decisions about their products and marketing strategies. This course can help Market Research Analysts develop the skills they need to create data visualizations that can communicate their findings effectively.

See salaries and explore the career path for Market Research Analyst

Quantitative Analyst

Quantitative Analysts are responsible for **analyzing data** and developing models that can help businesses make informed investment decisions. This course can help Quantitative Analysts develop the skills they need to create data visualizations that can effectively communicate their findings to stakeholders.

See salaries and explore the career path for Quantitative Analyst

Information Architect

Information Architects are responsible for designing and organizing websites and other digital products. This course can help Information Architects develop the skills they need to create data visualizations that can effectively communicate information to users.

See salaries and explore the career path for Information Architect

Sales Manager

Sales Managers are responsible for leading and motivating sales teams. This course can help Sales Managers develop the skills they need to create data visualizations that can effectively communicate the performance of their teams to stakeholders.

See salaries and explore the career path for Sales Manager

Operations Research Analyst

Operations Research Analysts are responsible for **analyzing data** and developing models that can help businesses improve their operations. This course can help Operations Research Analysts develop the skills they need to create data visualizations that can effectively communicate their findings to stakeholders.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts are responsible for **analyzing data** and providing insights that can help businesses make informed financial decisions. This course can help Financial Analysts develop the skills they need to create data visualizations that can effectively communicate their findings to stakeholders.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers are responsible for overseeing the development and launch of new products. This course can help Product Managers develop the skills they need to create data visualizations that can effectively communicate the value of their products to customers and stakeholders.

See salaries and explore the career path for Product Manager

User Experience Designer

User Experience Designers are responsible for designing and testing websites and other digital products to ensure that they are easy to use and enjoyable. This course can help User Experience Designers develop the skills they need to create data visualizations that are visually appealing and easy to understand.

See salaries and explore the career path for User Experience Designer

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. This course can help Marketing Managers develop the skills they need to create data visualizations that can effectively communicate the results of their campaigns to stakeholders.

See salaries and explore the career path for Marketing Manager

Data Engineer

Data Engineers are responsible for designing and building the infrastructure that stores and processes data. This course can help Data Engineers develop the skills they need to create data visualizations that can effectively communicate the performance of their systems to stakeholders.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and testing software. This course may be helpful for Software Engineers who are interested in developing data visualization applications.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 14 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 Analyzing Data Visualization Requirements.

Reflections on Slope Stability Engineering

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Classic in the field of data visualization. It must-read for anyone who wants to learn more about the principles of effective data visualization.

Analyzing Data Visualization Requirements

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What's inside

Syllabus

Good to know

Save this course

Activities

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Reading list

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