![]() Compelling visual analytics can be a critical tool for successful data storytelling, allowing you to capture research findings in a more memorable way than text and drive home key insights. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. ![]() In today’s era of big data, businesses of all kinds are seeking to harness data-driven insights to guide their decision-making. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. Tableau can also connect with spatial datasets such as Seri Shapefiles and GeoJSON to create maps at county, state, or country level, as well as customized geographic areas.Īs one of the most popular data visualization programs in the business world, Tableau is important to learn to create professional-quality, high-impact graphics for presentations and reports. ![]() It is capable of querying a variety of datasets including relational databases, spreadsheets, and cloud-based sources to produce graphs, interactive visualizations, and other tools for visual analytics. Tableau is a data visualization program created by Tableau Software.
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