skill Path

Data Visualization with Tableau

Get the foundational Tableau skills you need for data analysis and data visualization. You’ll learn how to identify data patterns and trends, and then tell a meaningful story about your findings with actionable insights. By the end, you’ll be ready for the Tableau Desktop Specialist Certification.

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4.8 (359 reviews)
2,454 learners enrolled in this path.
  • Beginner friendly
  • 1 month (5 hrs/week)
  • Self paced
  • 4 Courses
  • 3 projects
Rahila

“Dataquest is my favorite learning platform because you are not just given answers immediately when you’re working on the code — instead, you’re cracking the brain to understand and remember.”

Rahila Hashim

Data scientist @ClinFocus

Data Visualization with Tableau

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Path overview

In this path, you’ll gain the Tableau foundation you need to prepare, explore, create, and analyze data visualizations. Not only will you learn the best practices and formatting techniques to create charts and interpret them in various business scenarios, but you’ll also learn to build dashboards and master techniques to communicate your insights and tell a story.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. We’ll help you apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Preparing and exploring data with Tableau
  • Modeling, organizing, and analyzing data with Tableau
  • Creating reports and build interactive dashboards with Tableau
  • Conveying insights to tell a story

Path outline

Part 1: Data Visualization with Tableau [4 courses]

Data Preparation in Tableau 3h

Objectives
  • Prepare for the Tableau Desktop Specialist Certification Exam
  • Import data into Tableau to explore and analyze using visualizations
  • Relate various data imported into Tableau using relationships and joins
  • Clean and filter data imported into Tableau

Data Visualization Fundamentals in Tableau 5h

Objectives
  • Employ data visualization and business intelligence to help solve business problems
  • Visualize data using Tableau and build different types of basic charts
  • Employ data visualization best practices

Visual Analytics in Tableau 3h

Objectives
  • Perform table calculations for data analysis
  • Write level of detail (LOD) expressions
  • Add interactivity using Tableau parameters
  • Visualize data distributions with reference and distribution bands

Sharing Insights in Tableau 3h

Objectives
  • Highlight insights using color, size, and text
  • Build dashboards to combine charts
  • Share and export analyses

The Dataquest guarantee

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.

Money

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

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 your project portfolio

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

Challenge yourself with exercises

Challenge yourself with exercises

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

Showcase your path certification

Showcase your path certification

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

Projects in this path

Guided Project — Data Prep in Tableau

Guided Project — Data Prep in Tableau

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Guided Project: Business Intelligence Plots

Practice creating data visualizations in this guided project.

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Guided Project: Data Presentation

A guided project to finish the data presentation module.

View Project

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Aaron

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.”

Jessi

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

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!”

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