Project overview
In this project, you’ll take on the role of a data analyst working for Dataquest to prepare data for analyzing their online learning platform. You’ll connect to an Excel file containing three key tables capturing student engagement, course performance, and content completion rates. Your challenge is to import these tables into Tableau and define the relationships between them to create a unified data model enabling insights into the platform’s effectiveness.
You’ll get hands-on practice with essential data preparation steps in Tableau, building a well-structured foundation for data visualization and analysis. By the end of the project, you’ll have a robust data model ready for generating insights on how students interact with the platform and perform in courses, informing future content strategy and platform enhancements.
Objective: Prepare Dataquest’s online learning platform data using Tableau to enable analyzing student engagement and course effectiveness, by connecting to data, importing tables, and defining table relationships.
Key skill required
To complete this project, it's recommended to build these foundational skills in Tableau
- Connecting to data sources in Tableau to access the required data
- Importing data tables into the Tableau canvas
- Defining relationships between tables in Tableau to combine data
- Cleaning and filtering imported data in Tableau to prepare it for use
Projects steps
Step 1: Introduction
Step 2: Connect the Dataset
Step 3: The Three Data Tables
Step 4: Import Your First Table
Step 5: Import and Connect Your Second Table
Step 6: Import and Connect Your Third Table
Step 7: Review
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