What is Data Visualization?
Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights. Complex ideas are presented in charts and graphs with the goal of quickly and easily disseminating key, actionable information. Data visualization is an essential part of data science and analytics, especially when working with large, complicated data sets. The visualization tells a story, whether as a stand-alone graph or combined with other graphs, charts and design elements in an infographics or dashboard.
Online Courses in Data Visualization
Learning data visualization techniques is important for jobs in business analytics, data analysis, data science, statistics and much more. Any time you are tasked with communicating information from data, whether it's to an audience of coworkers, clients or customers, you will need to know how to most effectively present your findings. Start by learning how to use some of the key data visualization software and programming languages such as Microsoft Excel and Python. The free online Excel course, Analyzing and Visualizing Data with Excel, will teach you key analysis skills as well as how to combine data in mashups, create various types of visualizations and share them to the Microsoft Power BI cloud service.
Learn how to quickly explore different visualizations to determine which one are the most effective for your audience. Microsoft also offers courses in using Power BI and SQL Server reporting to build and share visualizations of your data. Python is a very powerful open-source programming language for creating data visualizations. Enroll in one of the free online Python courses that focus on using the language in data science applications.
Jobs in Data Visualization and Analysis
Data visualization and skills are required for many jobs in the data analysis and statistics professions. Whether you're applying for a position in data science, business analytics or a related field, having expertise in visualization will be beneficial to your CV. Data visualization specialists are in high demand by companies working with big data analytics, machine learning and other areas that involve processing extremely large and complex data sets. Applicants should have experience with multiple data visualization tools and platforms, be both highly creative and analytical and have hands-on experience working with Java, Python, SQL, and other languages.
Explore a Career in Data Visualization and Analysis
If you like using both the analytical and creative sides of your brain and you love math, computer science, data analysis, and statistics, then a career as a data visualization consultant or engineer may be right for you. Explore data visualization, data science and programming courses on edX to get started on your journey into this exciting field. Most courses are self-paced so you can enroll and start learning today.
Still looking? Search all of our courses:
Practical Data Visualization techniques, tips, and tricks for the aspiring analyst and people who want to start from the beginning in any field needing this critical 21st-century skill.
About this course
Data Visualization Literacy is fundamental for consuming any analysis in any industry or media - from the news to working in healthcare or not-for-profit budgets and more. As well, the ability to create data visualizations that are compelling, accurate, and tell a story, is becoming a core skill of any job in the 21st Century. This course provides a practical approach to learning the theories and techniques of data visualization for data analysis.
What you'll learn
- Build the most-used and simplest data visualizations and chart types
- Understand how interaction, design, and the science of visualization enhances basic data visualization artifacts
- Create basic reports and dashboards for applications in work and life
- Learn how to avoid common pitfalls, and make visualizations that work
Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their data.
About this course
Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organization's data.
In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You'll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users on the web and on mobile devices.
What you'll learn
- Connect, import, shape, and transform data for business intelligence (BI)
- Visualize data, author reports, and schedule automated refresh of your reports
- Create and share dashboards based on reports in Power BI desktop and Excel
- Use natural language queries
- Create real-time dashboards