“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

## 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 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
• 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

For this project, you’ll assume the role of a consultant providing data insights to the leadership team at Adventure Works. You’ll create interactive Tableau visualizations to analyze their online and offline sales data.

## 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 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.

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

98%
of learners recommend
4.85
Dataquest rating
SwitchUp Best Bootcamps
\$30k
Average salary boost
for learners who complete a path

### Aaron Melton

“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!”

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