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Data Preparation and Cleaning in Tableau Desktop

Data is rarely clean or in the right format for analysis. This course will teach you how to connect, combine, and clean data using Tableau Desktop.

Mihaela Danci - Pluralsight course - Data Preparation and Cleaning in Tableau Desktop
by Mihaela Danci

What you'll learn

Whether it's exported from Excel, pulled from a database, or scraped from a report, data rarely comes in the right format for analysis. Preparing data is the first step in building trustworthy dashboards. In this course, Data Preparation and Cleaning in Tableau Desktop, you’ll gain the ability to connect, clean, and structure data for accurate analysis. First, you’ll explore how to connect to multiple data sources, combine them with joins and unions, and manage relationships between tables. Next, you’ll discover how to clean datasets by renaming fields, fixing data types, and handling missing values. Finally, you’ll learn how to reshape your data through pivots and calculations, and how to save your cleaned data sources for future use. When you’re finished with this course, you’ll have the skills and knowledge of Tableau Desktop needed to prepare data for analysis.

Table of contents

About the author

Mihaela Danci - Pluralsight course - Data Preparation and Cleaning in Tableau Desktop
Mihaela Danci

As a data analyst enthusiast, Mihaela has special interests in translating vision into action using end-to-end data analysis while being very passionate about teaching.

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