Using Tableau to Discover Powerful Business Insights (2022)
1h 59mIntermediate2020-03-01
Authors
Madecraft
Full-Service Learning Content Company
Course details
Tableau is a powerful data visualization tool, with many uses in business. In this course, data analytics expert John David Ariansen shows you how to use Tableau effectively for uncovering powerful data insights. John David defines what data visualization is and explains the main functions of Tableau. He shares how to connect to data in Tableau, by connecting live or extracting the data sources. John David goes into how to manipulate data in Tableau to build visualizations. He covers each type of visualization and how each type is built. John David describes how to export and share data insights. He explains several concepts in Tableau, such as dimensions and measures, differences between discrete and continuous, aggregations, and timeliness. The course ends with a great list of forums and resources where you can continue your learning journey.
Skills covered
TableauTableau SoftwareBusiness AnalysisData VisualizationBusiness AnalyticsPersonaData AnalysisProject ManagementData ScienceBusiness Analysis and StrategyBusiness Software and Tools
Concepts
0. Introduction
- 01 - Using Tableau to create business insights
1. Introduction to Tableau
- 02 - What is Tableau
- 03 - How can I use Tableau effectively for business
- 04 - Excel vs. Tableau
- 05 - What is data visualization
- 06 - Four main functions of Tableau
- 07 - Basic Tableau terminology
2. Connecting to Data
- 08 - Data connection screen
- 09 - Types of data to connect to
- 10 - Live vs. extracted data sources
- 11 - Defining joins, unions, and data blending
- 12 - Creating joins, unions, and data blending
- 13 - Changing field types
- 14 - Creating an alias
- 15 - Default formatting
- 16 - Case study, part 1
3. Exploring Data and Building Visualizations
- 17 - Interface overview
- 18 - Building visualizations
- 19 - Creating calculated fields
- 20 - Groups
- 21 - Sets
- 22 - Table calculations
- 23 - Sorting
- 24 - Filters
- 25 - Histogram and bins
- 26 - Analytics pane overview
- 27 - Scatter plot and clustering
- 28 - Case study, part 2
4. Sharing Insights
- 29 - Dashboard interface overview
- 30 - Basic dashboarding
- 31 - Interactive elements
- 32 - Tiled vs. floating objects
- 33 - Creating stories
- 34 - Case study, part 3
5. Tableau Concepts
- 35 - Dimension vs. measure
- 36 - Discrete vs. continuous
- 37 - Aggregation
- 38 - Timeliness
- 39 - Visual analytics best practices
6. Expanding Your Tableau Skills
- 40 - Tableau public forums
- 41 - Sharing your Tableau portfolio
- 42 - Reddit
- 43 - Forums
- 44 - YouTube
Conclusion
- 45 - Next steps