Tableau Desktop Level 1
Program Information
- 🎓 Delivery Method:
- On-site (available now, on demand)
- Remote (live, on demand)
- Online (self-paced, coming soon)
- ⏳ Duration:
- 3 days, 4 hours per day
- Custom options available for internal teams
- 🧩 Format:
- Interactive workshops
- Hands-on exercises
- 👨🎓 Maximum Participants:
- 12 per session (to ensure personalized interaction)
- 📋 Course Requirements:
- No prior technical background required.
- 📅 Scheduling:
- Flexible scheduling available on demand
- 📞 Contact to Schedule:
- 📧 training@vizacta.com
Course Description
This beginner-level Tableau Desktop course is designed to introduce you to the core principles of data visualization and interactive dashboard creation using Tableau software. Through step-by-step instruction and hands-on practice, you’ll learn how to connect to data, build insightful visualizations, and craft compelling data stories: all without any prior experience.
Whether you’re a student, business analyst, data enthusiast, or career changer, this course will give you the confidence to navigate Tableau’s interface and begin making informed, data-driven decisions.
What You Will Learn
- Understand Tableau’s role in data analytics and business intelligence
- Connect to various data sources and prepare datasets for analysis
- Differentiate between dimensions vs. measures and discrete vs. continuous fields
- Build a wide range of basic visualizations (bar charts, line charts, maps, etc.)
- Use filters, parameters, and calculated fields to analyze data dynamically
- Design interactive dashboards and present visual stories
- Share your insights by publishing dashboards to Tableau Public
- Apply best practices in visual design and data storytelling
Course Content
- What is Tableau?
- Understanding Tableau’s role in data visualization and business intelligence.
- Overview of Tableau’s product suite: Desktop, Public, Prep, Server, and Online.
- Installing Tableau Desktop
- Step-by-step installation guide.
- Navigating the Tableau interface: menus, toolbars, and workspace.
- Data Sources
- Connecting to various data sources: Excel, CSV, SQL databases, and more.
- Understanding live vs. extract connections.
- Data Preparation Basics
- Utilizing Data Interpreter.
- Managing metadata and data types.
- Renaming, hiding, and creating aliases for fields.
- Dimensions vs. Measures
- Differentiating and utilizing dimensions and measures.
- Data Organization
- Sorting, filtering, and grouping data.
- Creating hierarchies and sets.
- Understanding discrete vs. continuous fields.
- Creating Visuals
- Building bar charts, line graphs, pie charts, and tables.
- Utilizing the “Show Me” feature for visualization suggestions.
- Enhancing Visuals
- Customizing colors, labels, and tooltips.
- Implementing basic formatting techniques.
- Calculated Fields
- Creating basic calculated fields using string, date, and numerical functions.
- Table Calculations
- Implementing quick table calculations: running totals, percentages, and rankings.
- Analytical Tools
- Adding reference lines, trend lines, and forecasting.
- Creating Maps
- Building symbol and filled maps.
- Customizing map views and layers.
- Geographic Analysis
- Utilizing geographic fields.
- Filtering and highlighting data on maps.
- Filters
- Applying quick filters and using the filter shelf.
- Understanding context filters.
- Parameters
- Creating parameters for interactivity.
- Using parameters in calculated fields and filters.
- Dashboards
- Designing interactive dashboards.
- Using containers for layout and organization.
- Adding actions: filter, highlight, and URL.
- Stories
- Creating story points to narrate data insights.
- Formatting and presenting stories effectively.
- Exporting Work
- Saving workbooks and dashboards.
- Exporting to PDF, images, and Tableau Public.
- Sharing Insights
- Publishing to Tableau Server or Online.
- Understanding data security basics.
- Creating a Tableau Public Account
- Setting up a free Tableau Public profile to publish and share dashboards online.
- Building a Real-World Project
- Using a complete dataset to create an interactive dashboard that applies all key concepts from the course.
- Publishing Your Work
- Uploading your project to Tableau Public and adding it to your data portfolio.