Share Data Through the Art of Visualization
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Share Data Through the Art of Visualization
This course is part of Google Data Analytics Professional Certificate
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What you'll learn
Describe the use of data visualizations to talk about data and the results of data analysis.
Identify Tableau as a data visualization tool and understand its uses.
Explain what data driven stories are including reference to their importance and their attributes.
Explain principles and practices associated with effective presentations.
Skills you'll gain
Tools you'll learn
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- Earn a shareable career certificate from Google
There are 4 modules in this course
This is the sixth course in the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Understand the importance of data visualization. - Learn how to form a compelling narrative through data stories. - Gain an understanding of how to use Tableau to create dashboards and dashboard filters. - Discover how to use Tableau to create effective visualizations. - Explore the principles and practices involved with effective presentations. - Learn how to consider potential limitations associated with the data in your presentations. - Understand how to apply best practices to a Q&A with your audience.
In this module, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.
What's included
11 videos13 readings6 assignments
11 videos•Total 50 minutes
- Introduction to communicating data insights•3 minutes
- Kevin: The power's in the data viz•3 minutes
- Why data visualization matters•7 minutes
- Connect images with data•6 minutes
- A recipe for a powerful visualization•5 minutes
- Dynamic visualizations•3 minutes
- Elements of art•5 minutes
- Data visualization impact•5 minutes
- Design thinking and visualizations•6 minutes
- Accessible visualizations•4 minutes
- Andrew: Making data accessible•2 minutes
13 readings•Total 90 minutes
- Course 6 overview•8 minutes
- Helpful resources and tips•4 minutes
- Effective data visualizations•8 minutes
- The beauty of visualizing•8 minutes
- Correlation and causation•8 minutes
- The wonderful world of visualizations•8 minutes
- Data grows on decision trees•8 minutes
- Principles of design•8 minutes
- Data is beautiful•8 minutes
- [Optional] Design thinking for visualization improvement•8 minutes
- Pro tips for highlighting key information•8 minutes
- Design a chart in 60 minutes•4 minutes
- Glossary terms from module 1•2 minutes
6 assignments•Total 144 minutes
- Module 1 challenge•40 minutes
- Self-Reflection: Choose your visualization type•20 minutes
- Test your knowledge on data visualizations •8 minutes
- Test your knowledge on designing data visualizations•8 minutes
- Hands-On Activity: Create your own visualization•60 minutes
- Test your knowledge on exploring data visualizations•8 minutes
Tableau is a business intelligence and analytics platform that helps people visualize, understand, and make decisions with data. In this part of the course, you’ll become well-versed in Tableau’s dynamic capabilities and learn to inject creativity and clarity into your visualizations, ensuring that your findings are easy to understand.
What's included
7 videos7 readings5 assignments1 plugin
7 videos•Total 35 minutes
- Data visualizations with Tableau•2 minutes
- Tableau Public and other online tools•2 minutes
- Meet Tableau•9 minutes
- Create a data visualization in Tableau•6 minutes
- Optimize the color palette in data visualization•3 minutes
- Get creative •4 minutes
- Link multiple datasets in Tableau•9 minutes
7 readings•Total 50 minutes
- Begin to use Tableau Public•8 minutes
- Visualizations in spreadsheets and Tableau•8 minutes
- Optional: Using Tableau Desktop•8 minutes
- Essential design principles•8 minutes
- Bonus Guide: Additional insights on selecting the right data visualization•8 minutes
- Tableau resources for combining multiple data sources •8 minutes
- Glossary terms from module 2•2 minutes
5 assignments•Total 188 minutes
- Module 2 challenge•40 minutes
- Hands-On Activity: Create a data visualization in Tableau•60 minutes
- Self-Reflection: Select visuals and charts•20 minutes
- Test your knowledge on creating visualizations in Tableau•8 minutes
- Hands-On Activity: Link multiple datasets in Tableau•60 minutes
1 plugin•Total 10 minutes
- Creating effective visualizations•10 minutes
Connecting your objective with your data through insights is essential to data storytelling. In this part of the course, you’ll get acquainted with the principles of data-driven storytelling and learn to craft compelling narratives using Tableau's dashboard and filtering capabilities, giving life to your data insights.
What's included
9 videos4 readings7 assignments2 plugins
9 videos•Total 39 minutes
- Craft stories with data•3 minutes
- Bring ideas to life•5 minutes
- Speak to your audience•5 minutes
- Carolyn: Data journalism•4 minutes
- Tableau dashboard basics•5 minutes
- From filters to charts•7 minutes
- Compelling presentation tips•3 minutes
- Share a narrative•6 minutes
- Sundas: How to manage imposter syndrome•3 minutes
4 readings•Total 22 minutes
- Effective data stories•8 minutes
- Live and static insights•4 minutes
- Create your first Tableau dashboard•8 minutes
- Glossary terms from module 3•2 minutes
7 assignments•Total 244 minutes
- Module 3 challenge•40 minutes
- Test your knowledge on data-driven stories•8 minutes
- Hands-On Activity: Create, filter, and customize charts•60 minutes
- Hands-On Activity: Build a dashboard in Tableau•60 minutes
- Test your knowledge on using Tableau dashboards•8 minutes
- Hands-On Activity: Practice presenting•60 minutes
- Test your knowledge on sharing data stories •8 minutes
2 plugins•Total 20 minutes
- Understanding data storytelling•10 minutes
- Elements of an effective narrative•10 minutes
In this part of the course, you’ll discover how to give an effective presentation about your data analysis. This final module teaches you to construct insightful presentations that resonate with your audience. You'll learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders.
What's included
13 videos9 readings6 assignments
13 videos•Total 68 minutes
- Pull it all together•1 minute
- Present with a framework •6 minutes
- Weave data into your presentation•8 minutes
- Brittany: Presentation skills for new data analysts•3 minutes
- Connor: Messy example of a data presentation•5 minutes
- Connor: Good example of a data presentation•16 minutes
- Proven presentation tips•5 minutes
- Present like a pro•5 minutes
- Anticipate the question•6 minutes
- Handle objections•4 minutes
- Q&A best practices•5 minutes
- Connor: Becoming an expert data translator•3 minutes
- Congratulations! Course wrap-up•1 minute
9 readings•Total 50 minutes
- Review a slide presentation•8 minutes
- Step-by-Step: Critique of a presentation•4 minutes
- Guide: Share data findings in presentations •8 minutes
- Evaluate your presentation•8 minutes
- Prepare for the Q&A•10 minutes
- Glossary terms from module 4•2 minutes
- Reflect and connect with peers•4 minutes
- Course 6 glossary•2 minutes
- Coming up next...•4 minutes
6 assignments•Total 104 minutes
- Module 4 challenge•40 minutes
- Self-Reflection: Examples of great presentations•20 minutes
- Test your knowledge on presentation skills and practices •8 minutes
- Self-Reflection: Practice handling objections •20 minutes
- Test your knowledge on caveats and limitations to data•8 minutes
- Test your knowledge on listening, responding, and including•8 minutes
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Reviewed on Dec 6, 2023
Course was interesting. Initially the concept was little tough but by going into deep, there are lot of minor things which needs to be taken care at the time of presentation and visualization.
Reviewed on May 30, 2022
This course is really good and amazing, I have learned a lot of thing from this course but very unofortunate that this materi only have 4 weeks in totals. Anyway thank you very much for this course.
Reviewed on Nov 9, 2021
great course that give me lots of insight in data visualization, also give me many different additional resources for my self-learning. Thank you for all of your efforts and creating these courses
Frequently asked questions
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.
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