Share Data Through the Art of Visualization
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Course Summary
Learn how to effectively visualize data and communicate insights using Tableau, one of the most popular data visualization tools in the world.Key Learning Points
- Learn how to create interactive visualizations with Tableau
- Gain insights into best practices for data visualization
- Learn how to effectively communicate insights through data storytelling
Job Positions & Salaries of people who have taken this course might have
- USA: $62,453
- India: ₹490,042
- Spain: €30,000
- USA: $62,453
- India: ₹490,042
- Spain: €30,000
- USA: $70,142
- India: ₹656,441
- Spain: €36,000
- USA: $62,453
- India: ₹490,042
- Spain: €30,000
- USA: $70,142
- India: ₹656,441
- Spain: €36,000
- USA: $80,000
- India: ₹1,000,000
- Spain: €40,000
Related Topics for further study
Learning Outcomes
- Create interactive visualizations with Tableau
- Effectively communicate insights through data storytelling
- Implement best practices for data visualization
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data analysis
- Access to Tableau software (free trial available)
Course Difficulty Level
IntermediateCourse Format
- Self-paced learning
- Video lectures
- Hands-on exercises
Similar Courses
- Data Visualization with Python
- Data Visualization with D3.js
Related Education Paths
Notable People in This Field
- Cole Nussbaumer Knaflic
- Alberto Cairo
Related Books
Description
This is the sixth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. 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.
Knowledge
- 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
Outline
- Visualizing data
- Introduction to communicating your data insights
- Kevin: The power's in the data viz
- Why data visualization matters
- Connecting images with data
- A recipe for a powerful visualization
- Dynamic visualizations
- Elements of art
- Data visualization impact
- Design thinking and visualizations
- Headlines, subtitles, and labels
- Accessible visualizations
- Andrew: Making data accessible
- Course syllabus
- Learning Log: Reflect on data visualization
- Effective data visualizations
- The beauty of visualizing
- Correlation and causation
- The wonderful world of visualizations
- Data grows on decision trees
- Principles of design
- Data is beautiful
- Design thinking for visualization improvement
- Pro tips for highlighting key information
- Designing a chart in 60 minutes
- Glossary: Terms and definitions
- Self-Reflection: Choosing your visualization
- Test your knowledge on data visualizations
- Test your knowledge on designing data visualizations
- Hands-On Activity: Making your own visualization
- Test your knowledge on exploring data visualizations
- Weekly challenge 1
- Creating data visualizations with Tableau
- Data visualizations with Tableau
- Tableau Public and other online tools
- Meet Tableau
- Create a data visualization in Tableau
- The good, the bad, and the ugly
- Getting creative
- Linking data in Tableau
- Logging in to Tableau Public
- Visualizations in spreadsheets and Tableau
- Optional: Using Tableau Desktop
- Bonus Guide: Additional insights on selecting the right data visualization
- Tableau resources for combining multiple data sources
- Glossary: Terms and definitions
- Hands-On Activity: Working with Tableau
- Test your knowledge on getting started with Tableau
- Self-Reflection: Selecting visuals and charts
- Test your knowledge on creating visualizations in Tableau
- Hands-On Activity: Practice linking data in Tableau
- Weekly challenge 2
- Crafting data stories
- Storytelling with data
- Bringing ideas to life
- Speaking to your audience
- Carolyn: Data journalism
- Tableau dashboard basics
- From filters to charts
- Creating your first Tableau dashboard
- Compelling presentation tips
- Sharing a narrative
- Sundas: How to manage imposter syndrome
- Effective data stories
- Learning Log: Tell a story with data
- Dashboards and static insights
- Glossary: Terms and definitions
- Test your knowledge on data-driven stories
- Hands-On Activity: Creating, filtering, and customizing charts
- Hands-On Activity: Build a dashboard in Tableau
- Test your knowledge on using dashboards
- Hands-On Activity: Practice presenting
- Test your knowledge on communicating data stories
- Weekly challenge 3
- Developing presentations and slideshows
- Pulling it all together
- Presenting with a framework
- Weaving data into your presentation
- Brittany: Presentation skills for new data analysts
- Connor: Messy example of a data presentation
- Connor: Good example of a data presentation
- Proven presentation tips
- Present like a pro
- Anticipate the question
- Handling objections
- Q&A best practices
- Connor: Becoming an expert data translator
- Congratulations!
- Learning Log: Review a slide presentation
- Step-by-step critique of a presentation
- Guide: Sharing data findings in presentations
- Learning Log: Evaluate your presentation
- Preparing for the Q&A
- Glossary: Terms and definitions
- Coming up next...
- Test your knowledge on effective presentations
- Self-Reflection: Examples of great presentations
- Test your knowledge on presentation skills and practices
- Self-Reflection: Real-world objections
- Test your knowledge on caveats and limitations to data
- Test your knowledge on listening, responding, and including
- Weekly challenge 4
- Course challenge
Google Career CertificatesTop Instructor
4.5 Raiting
Applied Data Visualization with R and ggplot2
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Create useful, elaborate, and visually-appealing plots using this open source package You'll also get to grips with plotting trends, correlations, and statistical summaries....
Complete Tensorflow 2 and Keras Deep Learning Bootcamp
- 4.7
-
![]()
![]()
![]()
![]()
![]()
Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras! 0's official API) to quickly and easily build models....
Learn SAP Lumira - Master Guide [Full Track]
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Learn how to create amazing informative visualizations and stories using SAP Lumira Then we will focus on how to create a data connection in the 2nd section....
Research Report: Delivering Insights
- 4.5
-
![]()
![]()
![]()
![]()
![]()
You have completed all the hard work of conducting your internal, secondary, and primary research. Getting Started & Synthesizing Findings and Deriving Insights...
