![]() ![]() The phone has become our second brain by proxy. At 6, they become literate and can read our Google search history, Twitter feeds, and whatever else is buried in there (note to self: take garbage out – recycling goes next week). At some point, it became attached to us, individually, only to be shared with children under 6. I can remember people at one time sharing a mobile phone, you know, like a landline. ![]() Over the years, our relationship with the phone has changed. We’ve also seen what dashboards could be on the phone with this brilliant post from Kelly Martin. For starters, Tableau introduced device designer, so now, the server can sort out what type of device I’m using. The work Blackberry may have also been there, mostly for Brickbreaker. I’m pretty sure I broke down and bought the original Droid in 2010 and finally kicked the Sidekick habit. ![]() iPhone 3S was king, with the 4 coming in the summer. In 2010, Blackberry was still comfortably making phones, including slide and flip versions with full keyboards. Yes, you read that right…we used Adobe Muse to deploy dashboards so we could get to it via smart(ish)-phone and tablets. You will exam the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.I first started using Tableau for mobile devices back in 2010. You will evaluate pre-attentive attributes and why they are important in visualizations. ![]() You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. In this course, you will analyze and apply essential design principles to your Tableau visualizations. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company. You will apply predicative analytics to improve business decision making. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will view examples from real world business cases and journalistic examples from leading media companies.īy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. And 75 times the number of information sources (IDC, 2011). In 2020 the world will generate 50 times the amount of data as in 2011. ![]()
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