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Intermediate Tableau
Learn how to create calculations in Tableau.Preview the first lesson free — get full access to all 31 lessons.
Intermediate Provider : Anna Foard 9 chapters · 31 Lessons · 3h 15m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
What story are you telling with your data? Do you even know? This "Intermediate Tableau" course will give you more tools and strategies for both analyzing your data, and presenting it in understandable ways to colleagues and key stakeholders. Start with learning more about how to write calculations to pull the data you need. Then you'll learn how to create advanced chart types by utilizing specific calculations. Finally, this course will help you build custom dashboards with dynamic interactivity so that your audience knows how to read the data and gain insights from it.
Tableau is an incredibly powerful tool to help you analyze data by visualizing it. This course will help you learn more about your data by giving you ways to drill down into specific metrics, such as sales, profitability, marketing success, and more. Expand your knowledge of how to use logic calculations, and how to add features like sparklines and slopes charts to your visualizations. Learn how to add dynamic elements like parameters and reference lines so you and your audience can better visualize the data. This course will also show you how to work with sets to further analyze segments of your data. Ultimately, you'll come away with a better understanding of how to create visually stunning, straightforward dashboards so you can present findings, KPIs, and insights to your audience.
What You'll Learn
- Write basic and logical calculations in Tableau to pull and analyze the data you need
- Create advanced chart types such as bullet graphs, time series charts, and slope charts using calculations
- Add features like sparklines, slope charts, reference lines, and parameters to your visualizations
- Build custom dashboards with dynamic interactivity, filter actions, URL actions, and KPI highlights
- Create and use parameters to switch measures and guide users through the data
- Create, compare, and analyze data segments using dynamic and conditional sets
Key Takeaways
- The course expands your knowledge of Tableau's functionality and features for both analyzing data and presenting it to colleagues and stakeholders.
- It teaches how to use calculations, including logical calculations and date functions, to create various chart types.
- Learners build dashboards with dynamic functionality, KPI highlights, filter actions, and URL actions to guide users through the data.
- It covers segmentation with sets, including dynamic and conditional sets, to analyze segments of your data.
- The course introduces features of the Analytics tab and elements like parameters and reference lines to better visualize data.
Frequently Asked Questions
Who is this course for?
It is designed for people who want more tools and strategies for analyzing their data in Tableau and presenting it in understandable ways to colleagues and key stakeholders.
What does the Intermediate Tableau course cover?
It covers writing calculations, logical calculations, and date functions; creating advanced chart types like bullet graphs, time series, and slope charts; working with parameters, filtering and sorting, and reference lines; building custom dashboards with KPIs and dynamic interactivity; segmentation with sets; and features of the Analytics tab.
What skills will I gain from this course?
You will gain skills in Tableau (Business Intelligence Software), analytical dashboards, Tableau CRM, working with spreadsheets and tabular data, and pivot tables and charts.
What kinds of visualizations will I learn to build?
You will learn to build bullet graphs, time series charts, slope charts, sparklines, reference lines, and custom dashboards with KPI highlights and dynamic interactivity.
How is the course structured?
The course is organized into lessons that progress from writing calculations and logical calculations to creating chart types, working with parameters, building dashboards, segmentation with sets, and exploring the Analytics tab.
