Tableau is a data visualization tool that helps you turn your raw data into meaningful and actionable information.
Professionals in fields as diverse as finance, sports, and public health use it to analyze and communicate essential ideas.
During this interactive, hands-on course, we'll cover:
- Finding & cleaning data
- Tableau Chart Types
- Building charts and dashboards using Tableau
- Data storytelling
- Mobile dashboard design
- Making your Tableau visualizations professional
Learn the basics, then practice building charts, dashboards, and stories as you build your data visualization portfolio.
By the end of Session 1, students should be able to:
- Describe the requirements of the final project
- Explain the purpose of data-driven stories
- Explain why certain data is explained better in bar charts versus other chart types
- Publish a visualization to Tableau Public
By the end of Session 2, students should be able to:
- Set the default number format for zip codes, currency, and scientific numbers
- Demonstrate two ways to reach the formatting options for legends and filters
- Create a more compelling tool tip than the default Tableau provides
- Identify color palette issues that could impact the efficacy of their visualization
- Create a chart with a visible, interactive filter
- Create a chart with sorted data
- Build a dashboard with at least 2 charts
By the end of Session 3, students should be able to:
- Create a map using built-in geographic features
- Create a map using shape file data
- Create a dashboard with interactivity
By the end of Session 4, students should be able to:
- Identify 3 sources for open data
- Use the Data Interpreter to clean up data
- Use Excel to clean data
- Build a dual axis chart
- Add custom shapes to charts
- Build a slope chart
- Build a GANTT timeline
By the end of Session 5, students should be able to:
- Decide if their data needs to be joined, blended or something else when brought into Tableau
- Build a story using story points
- Use one of the 7 starter data story types to tell a data story
By the end of Session 6, students should be able to:
- Make informed decisions about if and when to build a dashboard for mobile use
- Use device specific designer to build a mobile layout
- Describe in detail their plans for their final project visualization
By the end of Session 7, students should be able to:
- Write calculations and know where to find reference information on calculations best practice
- Create parameters
- Create a custom color palette for Tableau
By the end of Session 8, students should be able to:
- Identify 3 types of bias
- Build a portfolio plan
By the end of Session 9, students should be able to:
- Identify 3 sources of guidance/growth for their careers
- Present your final project with the class
You'll gain a basic understanding of Tableau in order to:
- Clean and shape data
- Build visualizations with polish and restraint
- Use design and development best practices
- Build mobile dashboards
- Build interactive dashboards
- Critique and makeover dashboards
Who Should Take this Class?
If you answer 'Yes!' to any of the below questions, this class is for you:
- Have you ever wondered how to compare your favorite sports team's performance against their competitors?
- Have you been asked to produce a performance dashboard on your company's sales or support metrics?
- Are you tired of building charts in Excel that take hours to build?
- Are you looking for a way to show information on a map that lets your audience pick the variable to display, but without any coding required?
- Does your organization have research data that can influence an important decision, but you're not sure how to tell the story?
- Have you heard about data visualization, but you're not sure what it is?
- Have you always wanted to build interactive charts, but you don't have time to pick up a programming language?