Summary  
This chapter explains how to establish a connection to an external data source and import its data into the application workspace.  

General domain of usage  
Business intelligence and data visualization

After installing Tableau, you can open it and **connect to a data source** (file). Tableau supports various data formats, including Microsoft Excel, Text Files (CSV), and databases. We'll be working with a dataset called **"Sample – Superstore"**, which is stored as an Excel file. To practice, we recommend downloading the file by **clicking the button below** and following along with the videos.

Tableau Public allows importing data in which format?

This corse provides a comprehensive introduction to Tableau's core features, empowering learners to create impactful data visualizations and dashboards. We will cover essential topics such as working with charts, filters, calculated fields, and parameters, as well as advanced techniques like combining data and creating interactive dashboards. By the end, you will have the skills to transform raw data into actionable insights with ease and confidence.

This section lays the groundwork for mastering Tableau by guiding you through installation, navigation, and foundational operations. From performing joins and splitting columns to understanding filters, marks, and the data pane, you will be equipped with essential tools for data exploration and visualization. 

This section delves into Tableau's powerful tools for data organization, filtering, and customization. You'll learn to differentiate dimensions and measures, work with continuous and discrete fields, and create calculated fields and interactive dashboards. Through practical challenges, you'll apply these tools to analyze data, uncover insights, and enhance your visualizations.

This section focuses on creating impactful visualizations to uncover patterns and trends in your data. From heatmaps and scatter plots to treemaps and combination charts, you'll explore a variety of chart types tailored to different analytical needs.

This section introduces advanced visualization techniques to enhance data analysis and storytelling. You'll learn to create bullet graphs, stacked area charts, histograms, and box plots, enabling deeper insights into trends, distributions, and comparisons.

First Steps