Learn Data Visualization
5 expert-rated courses covering Data Visualization. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Data Visualization skills are highly valued across industries like technology, consulting, and finance. Professionals with this expertise can earn 20-30% higher salaries and are in high demand as organizations increasingly rely on data-driven decision making. Complementary skills like SQL, Python, and storytelling further enhance career prospects.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About Data Visualization
- 1Data Visualization tools include Tableau, Power BI, and D3.js, which allow users to create interactive visualizations from large datasets.
- 2The global data visualization market is expected to grow at a CAGR of 9.3% from 2021 to 2026, reaching $9.2 billion.
- 3According to LinkedIn, Data Visualization was one of the top 10 in-demand skills for software engineers in 2022.
- 4Well-designed visualizations can improve data comprehension by up to 60% compared to raw data alone.
- 5Effective Data Visualization can drive 20-30% improvements in business decision-making and productivity.
Available on
Top Data Visualization Courses
Creating Business Value with Data and Looker
This series of courses introduces data in the cloud and Looker to someone who would like to become a Looker Developer. It includes the background on how data is managed in the cloud and how it can be used to create value for an organization. You will then learn the skills you need as a Looker Developer to use the Looker Modeling Language (LookML) to empower your organization to conduct self-serve data exploration, analysis and visualization.
Data Analytics and Visualization
This learning path provides a comprehensive introduction to the data lifecycle, focusing on how to derive actionable insights using Google Cloud’s powerful analytics tools. Learners will progress from foundational cloud concepts to advanced data transformation with BigQuery and professional dashboarding in Looker Studio. By the end of this path, you will be able to ingest, clean, and visualize complex datasets to support data-driven decision-making.
Creating Tile-based Dashboard Alerts in Looker
This is a self-paced lab that takes place in the Google Cloud console.In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.
AI for Data Analysis
Are the answers you need buried in a dataset you can't decipher? In this course, you’ll learn to use AI as your analytical partner to transform unstructured data into clear, actionable insights. You’ll use Gemini to identify the right success metrics for any project and practice converting messy, raw data into structured tables. You'll use everyday language to generate powerful spreadsheet formulas and create compelling charts in Google Sheets—empowering you to make smarter, data-driven decisions. By the end of this course, you will create: • Success metrics you can stand by: Use Gemini to define exactly what to measure for your project so you can present your results with confidence. • A structured dataset: Clean and organize messy information into a structured Google Sheets table that is ready for immediate analysis. • Data visualizations and formulas: Use natural language to generate spreadsheet functions and create charts that visualize your findings to drive evidence-based decisions. • Business performance simulator: Use Gemini Canvas to transform static data into an interactive tool, so you can "test-drive" changes and visualize their ripple effects in real time.
Analyzing and Visualizing Data the Google Way
This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.
Pro Tips for Learning Data Visualization
- #1Start with the fundamentals of data types, chart types, and design principles.
- #2Practice creating visualizations with real-world datasets and seek feedback.
- #3Master key tools like Tableau and Power BI to build a robust technical skillset.
- #4Develop complementary skills in data analysis, storytelling, and presentation.
Why Learn Data Visualization?
- Develop a highly transferable skill set that is in high demand across industries.
- Unlock higher-paying, data-driven roles like Business Analyst, Data Scientist, and Consultant.
- Gain the ability to transform complex data into intuitive, impactful visual stories.
- Become a more effective communicator and decision-maker in any business function.