Data-Driven Animation for Science Communication (Coursera)

Data-Driven Animation for Science Communication (Coursera)

In this course each student will create a scientific animation that tells a story with data to better communicate scientific results – along the way they will learn programming, science writing, and technical animation skills.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course trains students in data-based storytelling that promotes research and science communication for the benefit of communities and policymakers on local and global scales. Students will draft a science writing script, create custom raster and vector graphics, data visualizations, and animations in Adobe Photoshop, Adobe Illustrator, Adobe After Effects, Adobe Premiere Pro, and Autodesk Maya. For their final project, students will assemble these data-driven assets into an animated video abstract.

What you'll learn

  • Learners will be able to replicate the data-driven animation process from conceptualization to asset creation, data visualization, and composition.
  • Learners will be able to make informed decisions between available programs and techniques for visualizing data.
  • Learners will be able to distill the methods, results, and implications of scientific research into an accessible, succinct, and impactful animation.

Syllabus

Week 1—Planning your animation
Module 1
In this Module you will lay out the groundwork for your data-driven animation. You will pick a scientific study, tell its story, interpret a dataset, and compose a style guide that determines the fonts, colors, and mood of your animation. Using your script and style guide, you will plan out the action for each scene in your animation. After that, you will create a storyboard conveying the major action in your animation and, from that storyboard, create an animatic.

Week 2—Creating assets: illustrations & graphs
Module 2
In this Module you will use the animatic and list of assets from the last session to decide which custom assets to create. You will learn digital illustration techniques in Adobe Illustrator and Adobe Photoshop to create these assets with specific attention paid to the future ability to animate the assets. We will create data visualizations, learning about different tools, programs, and guiding principles.

Week 3—2D Animation with Adobe After Effects
Module 3
In this Module you will develop one of the scenes from your animatic into an animated scene that incorporates motion graphic principles. You will learn how to animate text, lines, and shapes in Adobe After Effects. You will also create an animated version of your improved key figure. We will learn to use JavaScript programming within Adobe After Effects to link data to the attributes of an animated 2D scene.

Week 4—3D Animation with Autodesk Maya
Module 4
In this Module you will familiarize yourself with the interface of a 3D animation software, Autodesk Maya. You will use your own custom 3D model or a demo file to animate a locomotion cycle (walk, swim, fly, etc., depending on your organism). You will learn about the major steps of creating a 3D animation from modeling and rigging to animation and rendering. You will use the locomotion cycle to create a data-driven animation. We will learn how to use Python programming in Autodesk Maya to create data-driven 3D scenes.

Week 5—Final Composition: Editing and Communication Strategy
Module 5
In this Module you will assemble the animated scenes you have generated into a fully produced animation. You will learn the basics of editing and composition using an Adobe workflow between Adobe Premiere Pro and Adobe After Effects. We will learn about the importance and power of musical accompaniment in creating your final composition. You will critique each other’s final projects in a peer reviewed assignment.

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

Related Courses

Scaling operations: Linking strategy and execution (Coursera) Coursera
Northwestern University

Scaling operations: Linking strategy and execution (Coursera)

Over the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.

Jul 27th 2026
5-12 Weeks
Digital business - Act on the digital world (Coursera) Coursera
École Polytechnique,Institut Mines-Telecom

Digital business - Act on the digital world (Coursera)

The idea that digital technology triggers profound change in companies is largely accepted. There is indeed no question that the digital world is profoundly changing business life. Everyone is now on the same page. But with the digital world come a lot of misconceptions and buzzwords. You can no longer get by with these commonplaces or general ideas.

Jul 20th 2026
3 Weeks
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Jul 27th 2026
5-12 Weeks
Google Slides (Coursera) Coursera
Google Cloud

Google Slides (Coursera)

With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more. Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved. You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations.

Jul 20th 2026
1 Week
Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

Jul 20th 2026
4 Weeks
Designing Effective Science Communication (Coursera) Coursera
University of Colorado Boulder

Designing Effective Science Communication (Coursera)

Although many would prefer to leave science in the past and no longer engage with it once completing compulsory science classes in school, the reality is that engaging with science is an integral part of our daily lives. Moreover, for the safety and wellness of human society, it is necessary to engage with scientific information. We are faced with the necessity of examining scientific evidence on topics ranging from conservation to public health and make decisions that impact not only our families but those around us.

Jul 27th 2026
5-12 Weeks
Landing.AI for Beginners: Build Data Visualization AI Models (Coursera) Coursera
Coursera Project Network

Landing.AI for Beginners: Build Data Visualization AI Models (Coursera)

In this 1-hour long project-based course, you'll step into the exciting field of Computer Vision and Generative AI using the LandingLens platform. We'll start by exploring the concept of visual prompting, and initiating a visual prompting project. LandingLens simplifies the model creation, training, and deployment process, making it a user-friendly platform for this endeavor.

Jul 27th 2026
1 Week
Designing Engaging Dashboards for Healthcare Analytics (Coursera) Coursera
Northeastern University

Designing Engaging Dashboards for Healthcare Analytics (Coursera)

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?” Discusses the challenges of making data understandable across a wide range of audiences.

Aug 3rd 2026
4 Weeks
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Aug 3rd 2026
4 Weeks
Data Analytics for Lean Six Sigma (Coursera) Coursera
University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Aug 3rd 2026
5-12 Weeks
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Jul 20th 2026
4 Weeks