Finally, you will consult your design checklist to craft the final viz or data story in Tableau. You will then give structure to your data story by writing the story arc in narrative form. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then import that data into Tableau and prepare it for analysis. In the Open dialog box, navigate to the Sample - Superstore Excel file on your computer. On the start page, under Connect, click Microsoft Excel. This example shows how to connect to Sample - Superstore data in Tableau Desktop. You will then find data that will provide the information you are seeking. The first step is to connect to the data you want to explore. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. Data visualization occurs from the word go with tools like drag/drop that are easy to use to construct high-value visuals. Tableau is a data visualization interactive product commonly used in Business Intelligence. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. Data visualizations through Python can be generated using open libraries such as MatPlotLib, SeaBorn, ggPlot, etc. In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public.
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