Course

Data Visualization Fundamentals in Tableau

In this course, you’ll learn the fundamentals of building data visualizations with Tableau. By the end, you’ll know how business intelligence can help answer business problems, as well as data visualization best practices.

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

4.8 (359 reviews)

901 learners enrolled in this course.

Beginner friendly
5 hours
Self paced
5 lessons
1 project

“I liked Dataquest because I can control how fast I do the problems. The small scale projects help to make the transition from concepts to the real thing.”

Dong Zhou

Senior Scientist @Schrödinger

Data Visualization Fundamentals in Tableau

Enroll For Free

Course overview

In this course, you’ll learn the fundamentals of creating visualizations, common pitfalls, and best practices. You’ll also learn how to use the various elements of the Tableau interface, how to create different charts (and their practical uses), and how to transform data using calculated fields and filters.

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

Key skills

Using the Tableau environment
Creating different charts, such as a bar chart, a line chart, scatter plots, and pie charts
Tableau concepts such as calculated fields, functions, data aggregation, and filters
Data visualization best practices and formatting techniques for better insights

Course outline

Data Visualization Fundamentals in Tableau [5 lessons]

Data Visualization Fundamentals 1h

Lesson Objectives

Identify data visualization types and assess their importance
Identify the elements in a Tableau sheet
Recognize differences between dimensions and measures
How to use shelves to create visualizations
Modify data types in Tableau
Employ continuous and discrete using date dimensions

Creating Charts with Tableau 1h

Lesson Objectives

Construct a bar chart
Construct a line chart
Construct a histogram using bins
Construct a scatter plot
Construct a pie chart
Design a dual-axis combination chart
Construct a geospatial chart

Calculated Fields and Filters 2h

Lesson Objectives

Interpret calculated fields
Interpret the difference between aggregated and row-level calculations
Solve business problems using Simple Calculations, Conditional Statements, Date Functions, and String Functions
Use filters
Solve business problems using dimension, context, and measure filters

Data Visualization Best Practices 1h

Lesson Objectives

Identify your audience
Maximize the insights of the visual chart
Enhance user interactivity with the visual chart
Interpret the importance of color

Guided Project: Business Intelligence Plots 1h

Lesson Objectives

Construct different types of visual charts
Create calculated fields
Use filters to improve interactivity
Adhere to data visualization best practices

Projects in this course

Guided Project: Business Intelligence Plots

Practice creating data visualizations in this guided project.

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

Impress employers by completing a capstone project and certifying it with an expert review.

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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!”