Tableau stands as one of the most widely adopted Business Intelligence and data visualization platforms in use today, valued for its responsiveness to modern business needs. However, truly unlocking its potential requires mastery of its comprehensive features and capabilities. This course prepares you to leverage Tableau 10's full suite of tools, whether you are an experienced data analyst exploring the latest 2016 enhancements or a beginner seeking to elevate your professional approach to data analysis.
Beginning with foundational concepts such as data preparation and cleansing, you will progressively build skills in creating and customizing sophisticated data visualizations and interactive dashboards. These tools are essential for achieving visibility into complex datasets and telling compelling data stories that drive business decisions. You'll also develop proficiency in trend analysis and forecasting by applying clustering and distribution models to your analytics, enabling you to uncover deeper insights from your data.
Data becomes truly valuable when it is shared and made accessible throughout your organization. This course emphasizes how to effectively distribute your Tableau visualizations and ensure stakeholders can access the insights they need. When insights are properly communicated and available to decision makers, organizations can shift from reactive to strategic, informed decision-making. That goal is at the heart of this comprehensive guide.
Key Capabilities:
- Design visually appealing visualizations and dashboards that transform complex information into clear, understandable insights
- Master data storytelling techniques to revolutionize how your organization interprets data and makes strategic decisions
- Explore Tableau 10's innovative features to redefine what analytics and business intelligence mean for your organization
Learning Objectives:
- Build effective visualizations and dashboards that communicate insights clearly
- Prepare and clean raw data to ensure Tableau produces reliable answers rather than raising further questions
- Develop advanced visualization techniques that explain complex data with visual clarity and professional styling
- Apply clustering and distribution models to conduct deep data analysis, trend identification, and predictive forecasting
- Use data storytelling methodologies to support strategic planning and informed decision-making
- Share dashboards and visualizations across your organization to build a data-driven culture where insights are accessible and valued
Software Version:
This course uses Tableau version 10 course materials and software. Participants using Tableau version 9 will find the user interface sufficiently similar to follow comfortably, as core functionality remained consistent between these releases. Instructors will highlight key new features and interface differences to help version 9 users transition smoothly.
Target Audience:
This two-day program is designed for individuals beginning their Tableau journey. The course teaches fundamental techniques for creating effective visualizations and combining them into interactive, functional dashboards. Taught using Tableau version 10, the course content remains appropriate for version 9 users, with instructors noting minor differences between the two versions.
Prerequisites:
Participants should have practical experience working with Microsoft Excel before enrolling in this course.
Certification Pathway:
This course, when completed alongside the Tableau Level 2 course, provides comprehensive preparation for the Tableau Qualified Associate Exam. Consult the exam preparation guide at mkt.tableau.com/files/Desktop-9-QA-Prep-Guide.pdf for additional study resources.
Course Modules
1: Creating Your First Visualizations and Dashboard
- Connecting to data sources
- Foundations for building effective visualizations
- Visualizing data through various chart types
- Creating bar charts for comparative analysis
- Creating line charts for trend visualization
- Creating geographic visualizations for location-based data
- Using Show Me recommendations for chart selection
- Combining visualizations into interactive dashboards
- Module summary and key takeaways
2: Working with Data in Tableau
- Understanding Tableau's unique data processing paradigm
- Connecting to various data sources
- Managing and configuring data source metadata
- Using data extracts versus live connections for performance optimization
- Understanding Tableau's file format ecosystem
- Performing data joins and blends to combine multiple sources
- Filtering and subsetting data for focused analysis
- Module summary and key takeaways
3: Moving from Foundational to More Advanced Visualizations
- Comparing values across different data dimensions
- Visualizing temporal data and time-based patterns
- Showing part-to-whole relationships in data
- Visualizing data distributions and patterns
- Creating multi-axis visualizations to compare different measures
- Module summary and key takeaways
4: Using Row-Level, Aggregate, and Level of Detail Calculations
- Creating and modifying calculations to extend analysis
- Overview of the three primary calculation types in Tableau
- Implementing Level of Detail calculations for granular control
- Using parameters to create dynamic, interactive visualizations
- Practical examples demonstrating calculations and parameters in action
- Creating ad hoc calculations for on-the-fly analysis
- Considering the performance implications of complex calculations
- Module summary and key takeaways
5: Table Calculations
- Overview of table calculations and their use cases
- Using quick table calculations for rapid analysis
- Understanding relative and fixed addressing modes
- Controlling the scope and direction of calculations
- Mastering addressing and partitioning concepts
- Building custom table calculations for specialized analysis
- Practical examples of advanced table calculation techniques
- Optimizing performance through data densification strategies
- Module summary and key takeaways
6: Formatting a Visualization to Look Great and Work Well
- Understanding formatting considerations and best practices
- Learning how Tableau applies formatting across visualizations
- Enhancing visualizations with strategic formatting choices
- Module summary and key takeaways
7: Telling a Data Story with Dashboards
- Establishing clear dashboard objectives aligned with business goals
- Case study: profitability analysis revealing non-obvious patterns
- Designing dashboards for different devices and screen sizes
- Understanding how dashboard actions enable interactivity
- Case study: building a regional scorecard dashboard
- Creating narrative stories that guide users through insights
- Module summary and key takeaways
8: Making Data Work for You
- Organizing data structures for optimal Tableau performance
- Applying techniques to address data structure challenges
- Implementing advanced solutions for complex data problems
- Module summary and key takeaways
9: Advanced Visualizations, Techniques, Tips, and Tricks
- Exploring sophisticated visualization types
- Implementing sheet swapping and dynamic dashboard features
- Applying advanced geographic mapping techniques
- Incorporating background images for context and reference
- Adding animation effects to enhance data presentation
- Module summary and key takeaways
10: Sharing Your Data Story
- Presenting, printing, and exporting visualizations in multiple formats
- Sharing workbooks with Tableau Desktop and Tableau Reader users
- Distributing content to Tableau Server, Tableau Online, and Tableau Public audiences
- Leveraging additional distribution capabilities available through Tableau Server
- Module summary and key takeaways
