Tableau Desktop – Advanced Data Visualization & Dashboards

Tableau Desktop – Advanced Data Visualization & Dashboards, available at $124.99, has an average rating of 4.47, with 99 lectures, 6 quizzes, based on 1092 reviews, and has 10075 subscribers.

You will learn about Build professional-quality reports, dashboards and custom visuals with Tableau Desktop Master advanced tools like parameter actions, geospatial mapping, and predictive analytics Learn the same advanced techniques used by business intelligence analysts and data scientists Showcase your skills with unique course projects & assignments (with step-by-step solutions) Learn from a best-selling instructor, featured author, and award-winning Tableau developer This course is ideal for individuals who are Tableau Desktop users who want to develop expert-level skills or BI or data science professionals looking to solve complex cases or advanced analyses or Aspiring data professionals seeking to master one of the world's most popular BI tools or Anyone looking to launch a career in analytics, data science or business intelligence or Students who want a comprehensive, engaging, and highly interactive approach to training It is particularly useful for Tableau Desktop users who want to develop expert-level skills or BI or data science professionals looking to solve complex cases or advanced analyses or Aspiring data professionals seeking to master one of the world's most popular BI tools or Anyone looking to launch a career in analytics, data science or business intelligence or Students who want a comprehensive, engaging, and highly interactive approach to training.

Enroll now: Tableau Desktop – Advanced Data Visualization & Dashboards

Summary

Title: Tableau Desktop – Advanced Data Visualization & Dashboards

Price: $124.99

Average Rating: 4.47

Number of Lectures: 99

Number of Quizzes: 6

Number of Published Lectures: 99

Number of Published Quizzes: 6

Number of Curriculum Items: 105

Number of Published Curriculum Objects: 105

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Build professional-quality reports, dashboards and custom visuals with Tableau Desktop
Master advanced tools like parameter actions, geospatial mapping, and predictive analytics
Learn the same advanced techniques used by business intelligence analysts and data scientists
Showcase your skills with unique course projects & assignments (with step-by-step solutions)
Learn from a best-selling instructor, featured author, and award-winning Tableau developer

Who Should Attend

Tableau Desktop users who want to develop expert-level skills
BI or data science professionals looking to solve complex cases or advanced analyses
Aspiring data professionals seeking to master one of the world's most popular BI tools
Anyone looking to launch a career in analytics, data science or business intelligence
Students who want a comprehensive, engaging, and highly interactive approach to training

Target Audiences

Tableau Desktop users who want to develop expert-level skills
BI or data science professionals looking to solve complex cases or advanced analyses
Aspiring data professionals seeking to master one of the world's most popular BI tools
Anyone looking to launch a career in analytics, data science or business intelligence
Students who want a comprehensive, engaging, and highly interactive approach to training

If you’re ready to build expert-level data analysis, visualization and dashboard design 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 data analysis and 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 business intelligence reports to the next level.

We’ll kick things off by digging into relationships and the Tableau Desktop 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 Tableau 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 more.

COURSE OUTLINE:

Tableau Relationships
- Logical & physical layers, contextual joins, smart aggregation, etc.
Dynamic Design
- Custom templates, KPI shapes, dynamic formatting, filter menus, etc.
Parameter & Set Actions
- Interactivity, relative dimensional analysis, animation, color scaling, etc.
Geospatial Mapping
- Spatial functions, custom territories, hierarchies, background maps, etc.
Advanced Calculations
- RegEx, advanced table calcs, LOD functions, cohort analysis, etc.
Predictive Analytics
- Regression models, forecasting, clustering, R & Python integration, etc.

Throughout the course, you’ll come across unique opportunities to put your new Tableau Desktop 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 analyst, business intelligence professional or data scientist, or just looking to take your Tableau visualization and dashboard skills to the next level, this is the course for you!

__________

Join today and get immediate, lifetime access to the following:

11+ hours of high-quality video
Advanced Tableau Desktop ebook
Downloadable Tableau project files & solutions
Homework assignments & quizzes
Course Q&A forum
30-day money-back guarantee

See you in the course!

-Dustin (Featured Tableau Author & Lead Tableau Instructor,Maven Analytics)

__________

Looking for our full course library? Search “Maven Analytics” to browse our full collection of Excel, Power BI, SQL, Tableau, Python, Alteryx & Machine Learningcourses!

See why Maven Analytics courses are among the TOP-RATED the BEST-SELLING analytics courses on Udemy:

“Some of the BEST courses I’ve ever taken. I’ve studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I’ve seen!”Russ C.

“This is my fourth course from Maven Analytics and my fourth 5-star review, so I’m running out of things to say. I wish Maven was in my life earlier!”Tatsiana M.

“Excellent from start to finish. I picked up a bunch of techniques that will be useful in the workplace, from new chart templates to some very cool advanced visualizations. I loved all of it!”Robert C.

“Maven Analytics should become the new standard for all courses taught on Udemy!”Jonah M.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Course Structure & Outline

Lecture 2: READ ME: Important Notes for New Students

Lecture 3: DOWNLOAD: Course Resources

Lecture 4: Introducing The Course Project

Lecture 5: Setting Expectations

Chapter 2: Relationships

Lecture 1: Intro to Relationships

Lecture 2: Logical and Physical Layers

Lecture 3: Relationships vs. Joins

Lecture 4: Requirements for Relationships

Lecture 5: Creating Relationships

Lecture 6: Optimizing Performance

Lecture 7: Multi-Fact Relationships

Lecture 8: Interface Differences (2020.2)

Lecture 9: The 8 R's of Relationships

Lecture 10: Contextual Joins | Remain

Lecture 11: Contextual Joins | Relevant

Lecture 12: Contextual Joins | Retain

Lecture 13: Contextual Joins | Recovered

Lecture 14: Contextual Joins | Represented

Lecture 15: Contextual Joins | Removed

Lecture 16: Smart Aggregation

Lecture 17: Smart Aggregation | Replicate

Lecture 18: Smart Aggregation | Resolve

Lecture 19: ASSIGNMENT: Relationships

Lecture 20: ASSIGNMENT: Relationships Instructions

Lecture 21: SOLUTION: Relationships

Chapter 3: Dynamic Design

Lecture 1: Intro to Dynamic Design

Lecture 2: Visual Appeal

Lecture 3: Background Templates

Lecture 4: KPI Shapes

Lecture 5: Info Icons

Lecture 6: Instructions & Commentary

Lecture 7: Flexibility

Lecture 8: Multi-Dimensions

Lecture 9: Multi-Measures

Lecture 10: PRO TIP: Dynamic Formatting

Lecture 11: Sheet Selectors

Lecture 12: Filter Menus

Chapter 4: Parameter & Set Actions

Lecture 1: Interactivity

Lecture 2: Parameter Actions

Lecture 3: Parameter Actions | Multi-Measure

Lecture 4: Parameter Actions | Index Chart

Lecture 5: Parameter Actions | Year-Over-Year

Lecture 6: Parameter Actions | Sheet Selector

Lecture 7: Parameter Actions | Relative Dimensional Analysis

Lecture 8: Set Actions

Lecture 9: Set Actions | Proportional Brushing

Lecture 10: Set Actions | Asymmetric Drilldown

Lecture 11: Set Actions | Color Scaling

Lecture 12: PRO TIP: Viz Animations

Lecture 13: PRO TIP: Viz Extensions

Lecture 14: ASSIGNMENT: Dynamic Design & Actions

Lecture 15: ASSIGNMENT: Dynamic Design & Actions Instructions

Lecture 16: SOLUTION: Dynamic Design & Actions

Chapter 5: Geospatial Mapping

Lecture 1: Intro to Geospatial Mapping

Lecture 2: Geospatial Data

Lecture 3: The Mapping Workspace

Lecture 4: Geospatial Use Cases

Lecture 5: Standard Maps

Lecture 6: Spatial Functions

Lecture 7: Custom Territories

Lecture 8: Map Hierarchies

Lecture 9: Geospatial Customization

Lecture 10: Map Layers

Lecture 11: Background Maps | WMS

Lecture 12: Background Maps | Mapbox

Lecture 13: Background Images

Lecture 14: Common Mapping Issues

Lecture 15: ASSIGNMENT: Geospatial Mapping

Lecture 16: ASSIGNMENT: Geospatial Mapping Instructions

Lecture 17: SOLUTION: Geospatial Mapping

Chapter 6: Advanced Calculations

Lecture 1: Intro to Advanced Calculations

Lecture 2: Regular Expressions

Lecture 3: Regular Expression Functions

Lecture 4: REVIEW: Table Calculations

Lecture 5: REVIEW: Addressing & Partitioning

Lecture 6: Position-Based Table Calculations Functions

Lecture 7: PRO TIP: Index Top Filter

Lecture 8: REVIEW: Level of Detail Expressions

Lecture 9: Choosing an LOD Type

Lecture 10: LOD Use Case | Benchmarking & Time Flags

Lecture 11: LOD Use Case | Customer Order Frequency

Lecture 12: LOD Use Case | Cohort Analysis

Lecture 13: LOD Use Case | New Customer Acquisition

Lecture 14: ASSIGNMENT: Advanced Calculations

Lecture 15: ASSIGNMENT: Advanced Calculations Instructions

Lecture 16: SOLUTION: Advanced Calculations

Chapter 7: Predictive Analytics

Lecture 1: Intro to Predictive Analytics

Instructors

Maven Analytics
Empowering everyday people with life-changing data skills
Dustin Cabral | Tableau & Data Visualization Expert
Data Visualization Consultant & Tableau Expert

Rating Distribution

1 stars: 11 votes
2 stars: 8 votes
3 stars: 70 votes
4 stars: 334 votes
5 stars: 669 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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