Data Science Career Tracks: What's the Right Path for You?
Free Live Webinar on May 31 - Register Now
Explore 636 data science courses covering everything you need to know about Data Visualization. Data visualization is the process of turning underlying data into summary graphics. The purpose may be to tease out insights during exploratory analysis or package visuals in a way that effectively informs and influences others. There are many visualization design choices that can be constructed in static or interactive form.
Data Visualization is most likely to appear on Data Analyst job descriptions where we found it mentioned 36.1 percent of the time.
At this point, it would be surprising for a global corporate enterprise to not take advantage of data visualization. But the discipline is quickly advancing. Ultimately data visualization is the outcome of the questions being asked. Organizations are going from a dashboard mindset to a ‘decisionboard’ mindset.
Tools that cannot be customized to the business user's needs are quickly becoming obsolete. Interactivity through data visualization is of paramount importance. Sizable organizations simply need a data virtualization layer within the data visualization to reduce time spent with tools- the data fabric of the organization must be accessible in real-time.
Register now