Self-Paced Course
Advanced Tableau Desktop
Build expert-level Tableau skills by mastering relationships, advanced calculations, predictive analytics, and dynamic design.
Course Description
If you’re ready to build expert-level data analysis and visualization skills with Tableau Desktop, you’ve come to the right place.
This course is a hands-on and project-based dive deep into several advanced Tableau topics, ranging from data relationships and calculations to predictive analytics and dynamic design techniques. As always, we’ll be applying these tools to real-world business intelligence use cases every step of the way.
You’ll be playing the role of a newly hired analyst for Maven Roasters, a bespoke, small batch coffee roasting company. Your mission? Use advanced analytics and visual design tools to take the company’s BI reports to the next level.
We’ll kick things off by digging into relationships and Tableau’s data model, exploring topics like logical vs. physical layers, contextual joins, smart aggregation, and performance optimization.
From there we’ll introduce a range of powerful visualization and design tools, including custom templates, dynamic formats, animations, parameter & set actions, and geospatial mapping.
Last but not least, we’ll cover advanced calculations like RegEx and custom LOD expressions, along with powerful predictive analytics tools like regression, forecasting, clustering, and much, much more.
Throughout the course, you’ll come across unique opportunities to put your new skills to the test, like analyzing employee earnings for the Boston Police Department, building forecast models for the World Health Organization, and designing geospatial dashboards to help FEMA identify environmental risks.
Whether you’re an aspiring BI professional or just looking to take your Tableau skills to the next level, this is the course for you.
COURSE CURRICULUM:
- Course Structure & Outline
- DOWNLOAD: Course Resources
- Introducing the Course Project
- Setting Expectations
- Relationships
- Logical & Physical Layers
- Relationships vs. Joins
- Requirements for Relationships
- Creating Relationships
- Optimizing Performance
- Interface Updates (2020.2)
- The 8 R's of Relationships
- Contextual Joins | Remain
- Contextual Joins | Relevant
- Contextual Joins | Retain
- Contextual Joins | Recovered
- Contextual Joins | Represented
- Contextual Joins | Removed
- Smart Aggregation
- Smart Aggregation | Replicate
- Smart Aggregation | Resolve
- QUIZ: Relationships
- ASSIGNMENT: Relationships
- SOLUTION: Relationships
- Dynamic Design
- Visual Appeal
- Background Templates
- KPI Shapes
- Info Icons
- Instructions & Commentary
- Flexibility
- Multi-Dimensions
- Multi-Measures
- PRO TIP: Dynamic Formatting
- Sheet Selectors
- Filter Menus
- QUIZ: Dynamic Design
- Interactivity
- Parameter Actions
- Parameter Actions | Multi-Measure
- Parameter Actions | Index Chart
- Parameter Actions | Year-over-Year
- Parameter Actions | Sheet Selector
- Parameter Actions | Relative Dimensional Analysis
- Set Actions
- Set Actions | Proportional Brushing
- Set Actions | Asymmetric Drilldown
- Set Actions | Color Scaling
- PRO TIP: Viz Animations
- QUIZ: Parameter & Set Actions
- ASSIGNMENT: Parameter & Set Actions
- SOLUTION: Parameter & Set Actions
- Geospatial Mapping
- Geospatial Data
- The Mapping Workspace
- Geospatial Use Cases
- Standard Maps
- Spatial Functions
- Custom Territories
- Map Hierarchies
- Geospatial Customization
- Map Layers
- Background Maps | WMS
- Background Maps | Mapbox
- Background Images
- Common Mapping Issues
- QUIZ: Geospatial Mapping
- ASSIGNMENT: Geospatial Mapping
- SOLUTION: Geospatial Mapping
- Introduction
- Regular Expressions
- Regular Expression Functions
- REVIEW: Table Calculations
- REVIEW: Addressing & Partitioning
- Position-Based Table Calculations
- PRO TIP: Index Top Filter
- REVIEW: Level of Detail Expressions
- Choosing an LOD Type
- LOD Use Case | Benchmarking & Time Flags
- LOD Use Case | Customer Order Frequency
- LOD Use Case | Cohort Analysis
- LOD Use Case | New Customer Acquisition
- QUIZ: Advanced Calculations
- ASSIGNMENT: Advanced Calculations
- SOLUTION: Advanced Calculations
- Introduction
- Regression Models
- Trend Lines
- Forecasting
- Control Charts
- Clustering
- R & Python Integration
- Dashboard Extensions
- QUIZ: Predictive Analytics
- ASSIGNMENT: Predictive Analytics
- SOLUTION: Predictive Analytics
- Course Feedback Survey
- Share the love!
- Next Steps
WHO SHOULD TAKE THIS COURSE?
- Tableau Desktop users who want to develop expert-level skills
- BI professionals looking to solve complex cases or advanced analyses
- Anyone seeking to master one of the world's most popular BI tools
WHAT ARE THE COURSE REQUIREMENTS?
- We strongly recommend taking our Intro to Tableau course first
- Tableau Public (free) or Tableau Desktop
- Experience with analytics tools or BI platforms a plus, but not required
Start learning for FREE, no credit card required!
Every subscription includes access to the following course materials
- Interactive Project files
- Downloadable e-books
- Graded quizzes and assessments
- 1-on-1 Expert support
- 100% satisfaction guarantee
- Verified credentials & accredited badges
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data rockstar?
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