Tableau Desktop Fundamentals is a two-day, hands-on course designed for users new to Tableau who handle and work with data, regardless of their technical or analytical background. Working in a hands-on learning environment, you’ll learn how to use the key features of Tableau to move from simple to complex visualizations, and then how to combine them in interactive dashboards.
NOTE: The Tableau Training Series is independent-format training that can be tuned and adjusted to best meet your needs. Our materials are flexible, comprehensive, and are always instructed by a senior instructor with a deep understanding of Tableau and its most current features, benefits and functionality in a wide array of uses.
- Price: $1,495.00
- Duration: 2 days
- Delivery Methods: Virtual
| Date | Time | Price | Option |
|---|---|---|---|
| 10/24/2024 | 09:00 AM - 05:00 PM CT | $1,495.00 | |
| 12/05/2024 | 10:00 AM - 06:00 PM CT | $1,495.00 |
For questions call: (469) 721-6100
Why choose
TOPTALENT?
- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
- Access an expansive range of over 3,000 training courses with a strong focus on Information Technology, Business Applications, and Leadership Development.
- Have confidence in an exceptional 95% approval rating from our students, reflecting outstanding satisfaction with our course content, program support, and overall customer service.
- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs are subject to change, and may adjust during live delivery based on audience interests, skill-level and participation.
- Getting Started with Tableau
- Tableau Desktop and the Tableau Product Line
- Application Terminology
- Visual Cues for Fields
- Getting Started in Tableau Desktop
- Elements of a Visualization
- Connecting to Data
- Creating a Live Data Connection
- Saving and Editing a Data Source
- Metadata Grid
- Understanding Changes to Data
- Data Connection Options
- Sharing Options
- Simplifying and Sorting Your Data
- Data Filtering
- Creating Date Filters
- Sorting
- Organizing your Data
- Using Groups
- Creating and Using Hierarchies
- Slicing your Data by Date
- Working with Dates in Tableau
- Using Discrete Date Parts
- Defining a Fiscal Year
- Creating Custom Dates
- Using Multiple Measures in a View
- Using Measure Values and Measure Names in a View
- Combo Charts
- Combined or Shared Axis Charts
- Creating Dual Axis Charts
- Showing the Relationship between Numerical Values
- Creating Scatter Plots
- Using Sets
- Mapping Data Geographically
- Mapping in Tableau
- Geographic Mapping
- Background Maps and Layers
- Navigation and Selection in Maps
- Viewing Specific Values
- Creating Heat Maps
- Creating Crosstabs
- Creating Highlight Tables
- Grand Totals, Sub-Totals, and Changing Aggregation
- Customizing your Data
- Calculation Types
- Parts of a Calculated Field
- Options for Creating Calculated Fields
- Strings, Dates, and Type Conversion Functions
- Calculations and Aggregations
- Analyzing Data with Quick Table Calculations
- Using Quick Table Calculations
- Showing Breakdowns of the Whole
- Pie Charts and Parts of the Whole
- Creating Tree Maps
- Viewing Distributions
- Bins and Histograms
- Box and Whisker Plots
- Highlighting Data with Reference Lines
- Using Reference Lines
- Reference Bands
- Using the Analytics Pane
- Instant Analytics
- Making Your Views Available
- Building Dashboards
- Dashboard Actions
Working in a hands-on learning environment led by our expert facilitator, students will learn how to:
- Connect to your data, and Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
- Represent your data using the following visualization types: Cross Tabs, Geographic Maps, Heat Maps, Distribution Charts, Tree Maps, Pie Charts and Bar Charts, Dual Axis and Combo Charts with different mark types, Box Plots, Highlight Tables, Scatter Plots
- Use Reference Lines to highlight elements of your data.
- Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
- Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
- Handle changes in your data source such as field addition, deletion or name changes.
- Share your visualizations with others.
- Combine your visualizations into Interactive Dashboards and publish them to the web.
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional Tableau, reporting, data analytics, visualization and other related topics that may be blended with this course for a track that best suits your needs.
This is an introductory-level Tableau course geared for attendees new to using the desktop edition of the tool, or for those who want a refresher of the basics or newer features. Ideal attendees would be beginner Tableau users who want to quickly get up to speed with next-level Tableau features and functions. Individuals working with data-regardless of technical or analytical background are a fit for this course.
This is an introductory-level Tableau course geared for attendees new to using the desktop edition of the tool, or for those who want a refresher of the basics or newer features. Ideal attendees would be beginner Tableau users who want to quickly get up to speed with next-level Tableau features and functions. Individuals working with data-regardless of technical or analytical background are a fit for this course.
