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Starts 3 June 2025 14:24

Ends 3 June 2025

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Multi-Table data analysis with Tableau: Customer Analysis

Master interactive dashboard creation in Tableau by analyzing e-commerce customer data, linking multiple data sources, and implementing drill-down functionality for comprehensive visual analysis.
Coursera Project Network via Coursera

Coursera Project Network

2014 Courses


1 hour 46 minutes

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Not Specified

Progress at your own speed

Paid Course

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Overview

Are you looking to create interactive dashboards to visualize data? This Guided Project was designed to help sales and data analysts who want to gain a solid understanding of Tableau and learn how to create impactful data visualizations.

More specifically in this 1 hour long project based course, you will learn how to set up Tableau desktop and import an e-commerce dataset, link and create single visualization on multiple data sources in Tableau, and last but not least create interactive dashboard for customer analysis. To achieve this you will analyze customer data from an E-commerce platform using Tableau Desktop.

Tableau Desktop is a user-friendly and powerful tool that allows you to load, link, and visualize multiple data sources. Additionally, you will explore multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis.

No advanced prerequisites are required, although a basic understanding of data analysis concepts, such as visualization techniques and data modelling, is recommended. Now let's get going!

Syllabus

  • Project Overview
  • Through this project, you will learn how to effectively use Tableau to create interactive dashboards for visualizing data from multiple sources. We will analyze customer data from an E-commerce platform using Tableau Desktop. Tableau Desktop is a user-friendly and powerful tool that allows you to load, link, and visualize multiple data sources. Additionally, you will explore multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis.

Taught by

Angela Tao


Subjects

Data Science