Data visualization courses can help you learn how to create compelling charts, graphs, and dashboards, along with understanding data storytelling and visual design principles. You can build skills in interpreting data trends, selecting appropriate visual formats, and conveying insights effectively to diverse audiences. Many courses introduce tools like Tableau, Power BI, and D3.js, that support transforming raw data into visual narratives and making data-driven decisions in various fields.

Microsoft
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Data Architecture, Data Cleansing, Data Transformation, Database Design
Beginner · Professional Certificate · 3 - 6 Months

Microsoft
Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Microsoft Power Platform, Data Integrity, Data Visualization, Data Storage, Data Collection, Data Quality, Data Manipulation, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Report Writing, Data Processing, Data Warehousing, Business Intelligence, SQL
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Microsoft
Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram
Beginner · Course · 1 - 4 Weeks
Macquarie University
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Microsoft Excel, Excel Formulas, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Data Cleansing, Data Manipulation, Data Preprocessing, Excel Macros, Infographics, Data Transformation, Data Analysis, Data Sharing, Data Integration
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Business Intelligence, Data Presentation, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Analytics, Power BI, Pivot Tables And Charts, Dashboard, Key Performance Indicators (KPIs), Performance Reporting, Data Analysis, Scatter Plots, Business Reporting, Trend Analysis, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Knowledge Accelerators
Skills you'll gain: Data Visualization, Power BI, Data Analysis, Data Synthesis, Business Intelligence, Data Manipulation, Data Management, Trend Analysis, Excel Formulas, Business Analytics, Data Quality
Beginner · Course · 1 - 3 Months

Skills you'll gain: Azure Synapse Analytics, Performance Tuning, Microsoft Azure, System Monitoring, Data Engineering, Transact-SQL, Star Schema, Power BI, PySpark, Data Cleansing, Data Analysis Expressions (DAX), Apache Spark, Data Warehousing, Analytics, Data Modeling, Data Analysis, SQL, Azure Active Directory, Advanced Analytics, Microsoft Copilot
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, PySpark, Azure Synapse Analytics, Feature Engineering, Data Pipelines, Power BI, Apache Spark, Databases, Microsoft Azure, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, Data Visualization Software, SQL Server Integration Services (SSIS), Cloud Management, Data Governance, Performance Tuning, Big Data, Large Language Modeling
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Microsoft Azure, Database Design, Power BI, Real Time Data, Data Pipelines, Data Management, Data Architecture, Extract, Transform, Load, Microsoft Copilot, Cost Control, Data Modeling, Transact-SQL, SQL, Cloud Infrastructure
Intermediate · Professional Certificate · 3 - 6 Months
Corporate Finance Institute
Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Snowflake Schema, Data Modeling, SQL, Dashboard, Microsoft Excel, Business Intelligence, Excel Formulas, Pivot Tables And Charts, Data Import/Export, Business Reporting, Databases, Interactive Data Visualization, Data Storytelling, Financial Statements, Data Manipulation, Data Transformation, Financial Analysis, Data Visualization
Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Microsoft Power Platform, Excel Formulas, Process Flow Diagrams, Business Process Modeling, User Story, Business Requirements, Stakeholder Management, Data Modeling, Microsoft Excel, Software Development Life Cycle, Requirements Analysis, Requirements Elicitation, Quality Management, Diagram Design, Pivot Tables And Charts, Microsoft Visio, Power BI, Microsoft Power Automate/Flow, Business Analysis, Data Analysis
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Interactive Data Visualization, Data Modeling, Azure Synapse Analytics, Microsoft Azure, Business Reporting, Database Design, Data Lakes, Business Intelligence, Enterprise Architecture, Enterprise Security, Data Governance, Data Management, Performance Analysis, Solution Architecture, Governance, Analytics, Automation, Regulation and Legal Compliance
Intermediate · Professional Certificate · 3 - 6 Months
Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. It is important because it transforms complex data sets into visual formats that are easier to comprehend, enabling better decision-making. In a world where data is abundant, effective visualization helps communicate insights clearly and efficiently, making it a crucial skill in various fields.‎
A variety of job opportunities exist in the field of data visualization. Roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Visualization Specialist are common. These positions often require the ability to interpret data and present it visually to stakeholders. Additionally, professionals in marketing, finance, and healthcare increasingly rely on data visualization to convey insights and support strategic decisions. As organizations continue to prioritize data-driven decision-making, the demand for skilled data visualization practitioners is likely to grow.‎
To excel in data visualization, you should develop a mix of technical and analytical skills. Proficiency in data visualization tools such as Tableau, Power BI, or programming languages like Python and R is essential. Understanding data analysis concepts, statistics, and storytelling techniques will enhance your ability to present data effectively. Additionally, having a good eye for design and familiarity with user experience principles can help create more engaging visualizations. Continuous practice and learning will further strengthen these skills.‎
There are numerous online courses available for learning data visualization. Some highly regarded options include the Data Visualization with Tableau Specialization, which teaches how to create impactful visualizations using Tableau, and the Data Visualization: Fundamentals to Interactive Storytelling Specialization, focusing on the principles of effective storytelling through data. These courses cater to various skill levels and can help you build a strong foundation in data visualization.‎
Yes. You can start learning data visualization on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data visualization, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn data visualization effectively, start by identifying your learning goals and the specific tools or techniques you want to build proficiency in. Enroll in online courses that match your interests and skill level. Practice regularly by working on real-world projects or datasets to apply what you learn. Engage with online communities or forums to share your work and receive feedback. Additionally, reading books and articles on data visualization can provide deeper insights and inspire your creativity.‎
Typical topics covered in data visualization courses include data types and structures, visualization principles, tools and software (like Tableau and Excel), and techniques for creating various types of charts and graphs. Courses often emphasize the importance of storytelling with data, data cleaning and preparation, and best practices for designing effective visualizations. Advanced topics may include interactive visualizations and dashboard creation, providing a comprehensive understanding of the field.‎
For training and upskilling employees in data visualization, courses like the Microsoft Data Visualization Professional Certificate and the Data Analysis and Visualization Foundations Specialization are excellent choices. These programs are designed to equip learners with practical skills and knowledge that can be directly applied in the workplace, fostering a data-driven culture within organizations.‎