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To learn more, watch the video and review the specialization overview document we provided.In the third course of the specialization: Data Visualization and Communication with Tableau, you will learn how to communicate business-relevant implications of data analyses. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to a real-world business process. The Coursera Specialization: Excel to MySQL: Analytic Techniques for Business, is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.
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Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.
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