Course

Data Preparation in Tableau

In this course, you’ll learn how to import data into Tableau and prepare it for data analysis and visualization. By the end, you’ll be able to consolidate data from multiple sources and convert raw data into a usable format.

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Part of the Data Visualization in Tableau, and Business Analyst (Tableau) paths.

4.8 (359 reviews)

2,870 learners enrolled in this course.

Beginner friendly
3 hours
Self paced
6 lessons
1 project

“For me, Dataquest was great because it was all hands-on projects — there weren’t any videos, so I could just read through and go at my own pace. I felt that starting from the beginning was great.”

Isaac Pato

Data Science / Quality Engineer @Cirium

Data Preparation in Tableau

Enroll For Free

Course overview

In this course, you’ll learn how to connect Tableau to multiple data sources such as text files, csv files, or Excel workbooks. You’ll also learn to import and connect datasets from multiple sources by building complete data models and configuring relationships and joins. Finally, you’ll learn how to clean and filter your data by hiding unnecessary fields and using only the data you need.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

Key skills

Introductory knowledge of Tableau data preparation
Importing data from multiple sources into Tableau
Connecting various data tables using relationships and joins
Cleaning and filtering data imported into Tableau

Course outline

Data Preparation in Tableau [6 lessons]

Connect to a Data Source 1h

Lesson Objectives

Add and delete Tableau data connections
Inspect the data tables in a connected data source

Import Data into Your Tableau Canvas 1h

Lesson Objectives

Learn how to import data tables into the Tableau Canvas
The differences between relationships and joins, and when to use each one
How to build a schema by importing tables from a connected data source

Define Relationships Between Tables 1h

Lesson Objectives

Define and set up relationships between logical tables
Identify the differences between relationships and direct joins between tables
Specify performance options in relationships, specifically cardinality and referential integrity

Extend and Complete Your Data Model 1h

Lesson Objectives

Connect multiple tables to complete the data model
Inspect and validate the data model
Fine-tune the performance of the data model

Clean and Filter Imported Data in Tableau 1h

Lesson Objectives

Set filters at the data source level
Hide unnecessary fields in a data schema
Modify data types incorrectly interpreted by Tableau

Guided Project — Data Prep in Tableau 1h

Lesson Objectives

Connect to an Excel file containing three tables on website usage
Import the three tables into a data model in Tableau
Configure the relationships between the three tables in Tableau

Projects in this course

Guided Project — Data Prep in Tableau

For this project, you’ll act as a data analyst for Dataquest to prepare their online learning platform data for analysis. You’ll connect to Excel data, import tables into Tableau, and define table relationships to build a data model for uncovering insights on student engagement and performance.

View Project

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

Grow your career with
Dataquest.

98%

of learners recommend

Dataquest for career advancement

4.85

Dataquest rating

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$30k

Average salary boost

for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”