Information Design And Visualisation Fundamentals (Aquent)

Offered by Aquent,
Information Design And Visualisation Fundamentals (Aquent)

Information Design & Data Visualization covers the design and visual principles needed to create effective information graphics and data visualizations.

This course focuses on information graphics and data visualization, a subset of a broader field of information design. You will learn what steps you need to create successful visualizations. Specifically, a survey of the tools of the trade will be covered, everything from mapping tools to charting tools such as D3.js and much more. Additionally, Graham will walk through two real-world examples of visualizations as featured in the New York Times and help you get on your way toward making information graphics and visualizations of your own.

Course Outline:

  • Lesson 1: Defining Information Design

You will learn the advantages of a visual approach to communication and take a look at the spectrum of the discipline-from infographics to data visualization. Additionally, you will take a look at at the goals of graphics and visualizations with a specific emphasis on journalistic approaches.

  • Lesson 2: Visual Design Principles
  • Learn the basics of visual comprehension including color, proximity, grouping, and more. Also, discover the steps involved with creating an information graphic including how to define focus, gather data, choose form, and how to create a hierarchy of importance.
  • Lesson 3: Interaction Design Principles

This lesson will briefly cover the evolution of interactive graphics over the years as well as introduce you to modern interactive techniques including steppers, hovering, sliders, drag and drop, and more.

  • Lesson 4: Tools Of The Trade

Discover the various techniques used to create infographics and data visualizations, specifically data tools, visualization tools, animation tools and illustration tools.

  • Lesson 5: In-depth example #1: Mariano Rivera—King of the Closers

You will walk through the thought process and tools used to develop this animated information graphic from beginning to end.

  • Lesson 6: In-depth example #2: 512 Paths to the White House

You will walk through the thought process and tools used to develop this animated information graphic from beginning to end.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Analysis and Visualization (Coursera) Coursera
University at Buffalo,The State University of New York

Data Analysis and Visualization (Coursera)

By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.

Oct 26th 2026
4 Weeks
Math for MBA and GMAT Prep (Coursera) Coursera
Emory University

Math for MBA and GMAT Prep (Coursera)

This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

Nov 2nd 2026
5-12 Weeks
Data Visualization with Advanced Excel (Coursera) Coursera
PwC

Data Visualization with Advanced Excel (Coursera)

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek.

Oct 26th 2026
4 Weeks
Introduction to Accounting Data Analytics and Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Accounting Data Analytics and Visualization (Coursera)

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

Nov 2nd 2026
5-12 Weeks
From Excel to Power BI (Coursera) Coursera
Knowledge Accelerators

From Excel to Power BI (Coursera)

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

Nov 2nd 2026
1 Week
Data Science with R - Capstone Project (Coursera) Coursera
IBM

Data Science with R - Capstone Project (Coursera)

In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.

Oct 26th 2026
5-12 Weeks
Communicating Business Analytics Results (Coursera) Coursera
University of Colorado Boulder

Communicating Business Analytics Results (Coursera)

The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions.

Oct 26th 2026
4 Weeks
Excel Power Tools for Data Analysis (Coursera) Coursera
Macquarie University

Excel Power Tools for Data Analysis (Coursera)

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

Oct 26th 2026
4 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 30th 2026
4 Weeks
Data Storytelling with Power BI (Coursera) Coursera
Edureka

Data Storytelling with Power BI (Coursera)

Welcome to the Data Storytelling with Power BI course, where you'll embark on a journey to acquire practical expertise in data transformation and visualization. Leverage the potential of Power BI to craft narratives through structured data, leading to the discovery of more profound insights. Throughout this course, you'll explore the industry-specific applications of Power BI and delve into its various features and functionalities.

Nov 9th 2026
5-12 Weeks
Excel Essentials and Beyond (Coursera) Coursera
Board Infinity

Excel Essentials and Beyond (Coursera)

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data organization techniques. As you advance, you'll delve into data visualization, transforming raw data into captivating stories.

Nov 9th 2026
5-12 Weeks
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Nov 2nd 2026
5-12 Weeks