Data Analysis using Tableau

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Data Analysis using Tableau 

Tableau is one of the most widely recognized data analytics tools in the business intelligence (BI) world. It is renowned for its powerful data visualization capabilities and its ability to turn raw data into actionable insights. From a data analytics perspective, Tableau provides a comprehensive suite of features that allow businesses, analysts, and decision-makers to transform complex data into visually appealing, easy-to-understand reports and dashboards.Tableau was founded in 2003 with the mission to help people see and understand their data. The tool quickly gained traction because it simplified the process of data visualization and made it accessible to users without a technical background. Key features include real-time data updates, the ability to blend data from multiple sources, and advanced analytics such as forecasting and clustering. Tableau's visualization capabilities, such as heat maps, scatter plots, and treemaps, help users present complex data in a clear and visually appealing manner. Additionally, Tableau supports interactive filtering and drill-down functionalities, enabling users to explore data at different levels of detail.Tableau's sharing and collaboration features, such as Tableau Online and Tableau Server, allow teams to publish and share dashboards securely across organizations. Its integration with other tools, including R, Python, and SQL, enhances its analytical power, making it suitable for industries like finance, healthcare, and marketing. Overall, Tableau empowers organizations to make data-driven decisions by transforming raw data into actionable insights.

Disha Jambhale

SY BSc.IT

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