![]() ![]() I shall be putting the source file in for you all. ![]() Tableau Public is great at building visualizations like this and we can recreate this one with just a few simple steps. I redesigned the graphics to better show these proclivities and added the ability to link to the PolitiFact findings. Tableau Public, much like Tableau, is this easy-to-use tool for telling visual interactive stories on the web with the only exception that it’s absolutely free!įor example, the New York Times published an article in December 2015 that contained an infographic showing the tendencies of politicians to lie or tell the truth, based on findings from PolitiFact. Which just adds to the reasons you should learn Tableaufor. ![]() It even allows a non-technical user to create a customized dashboard. The data that is created using Tableau can be understood by the professional at any level in an organization. In this blog, we shall discuss the following concepts:ĭata analysis is very fast with Tableau and the visualizations created are in the form of dashboards and worksheets. Now, because of its utility to beginners, it makes for a very essential module in most Tableau Training Curriculum. However, for someone just beginning to explore this tool, it isn’t really feasible to cough up the kind of money it requires. It helps in simplifying raw data into a very easily understandable format. 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.Tableau is a powerful and one of the fastest growing data visualization tools used in the Business Intelligence Industry. 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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