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Maven Analytics and Dustin Cabral | Tableau & Data Visualization Expert

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

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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 

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 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 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 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 business intelligence analyst or data scientist, or just looking to take your Tableau 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 the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses.

Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for beginners by introducing data relationships and the Tableau Desktop data model
Develops professional skills or deep expertise in advanced Tableau topics
Takes a creative approach to teaching advanced Tableau techniques
Gives learners an edge in understanding and applying predictive analytics
May require additional tools or software that are not readily available in a typical household or in a library

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Tableau for Business Intelligence with these activities:
Tableau: The Complete Guide by Steve Wexler
Reading this comprehensive guide will provide you with a deep understanding of Tableau's capabilities and best practices.
Show steps
  • Purchase or borrow a copy of the book.
  • Read the book thoroughly, taking notes as needed.
  • Complete the exercises and practice problems in the book.
Tableau Dashboard Project
Creating a Tableau dashboard project will allow you to apply your skills and knowledge to a real-world scenario.
Browse courses on Tableau Dashboard
Show steps
  • Identify a business problem or opportunity that can be addressed using data visualization.
  • Gather and prepare the necessary data.
  • Design and develop a Tableau dashboard that communicates the insights from the data.
  • Present your dashboard to stakeholders and get feedback.
Show all two activities

Career center

Learners who complete Advanced Tableau for Business Intelligence will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
A Business Intelligence Analyst applies principles of analysis and big data to facilitate decision-making. They will use powerful visualization tools such as Tableau to present data to leadership and drive business forward through insights gleaned from this data.
Chief Data Officer
A Chief Data Officer is responsible for an organization's data strategy. They will use Tableau to visualize and communicate data to key stakeholders.
Data Analyst
A Data Analyst would be able to obtain data from various sources to analyze complex data and advance business initiatives at an organization. They will work with business intelligence tools like Tableau to create a visual representation of data and present it to leadership.
Data Scientist
A Data Scientist utilizes complex math and statistical tools to solve critical problems for an organization. Graduates of this course would be able to apply their skills in advanced calculations like RegEx, LOD expressions, and predictive analytics to be more effective in their role.
Market Researcher
A Market Researcher studies consumer markets and analyzes trends to help an organization develop and market their products. The course covers advanced design visualization tools that would be useful for a Market Researcher to create effective and engaging marketing materials.
Statistician
A Statistician collects, analyzes, interprets, and presents statistical data. The skills learned in this course related to advanced calculations and predictive analytics will greatly help a Statistician excel at analyzing various types of data.
Product Manager
A Product Manager analyzes market trends, customer feedback, and competitive analysis to determine what features and products an organization should develop. They will use advanced visualization and design tools to build out mockups and presentations to convey product updates and launch new items.
Financial Analyst
A Financial Analyst helps an organization make smart decisions about how to allocate its money. They use Tableau to create a visual representation of financial data to present to clients to help them make data-driven decisions with their investments.
Data Engineer
A Data Engineer designs, builds, and maintains the infrastructure and processes for data storage and retrieval. They will use Tableau and other analysis tools to provide data-led insights and information to enable better decision-making.
Business Systems Analyst
A Business Systems Analyst designs and implements systems to improve an organization's efficiency. They will use Tableau to analyze data to identify areas for improvement.
Project Manager
A Project Manager is in charge of planning, executing, and closing out projects. They may use Tableau to visualize data to track progress on projects and identify any risks or areas for improvement.
Database Administrator
A Database Administrator is responsible for managing and maintaining an organization's database. They may use Tableau to analyze data to identify trends and improve performance.
Information Technology Manager
An Information Technology Manager oversees the IT infrastructure of an organization. They may use Tableau to analyze data to identify trends and improve performance.
Operations Manager
An Operations Manager oversees the day-to-day activities of an organization. They may use Tableau to analyze data to improve efficiency and productivity.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They may use Tableau to analyze data to identify trends and improve performance.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Tableau for Business Intelligence.
Provides a practical guide to using Tableau for business intelligence. It covers data preparation, visualization techniques, and advanced analytics, with a focus on real-world business scenarios.
Covers advanced techniques and features in Tableau, including custom calculations, data blending, and advanced visualizations. It provides a deep dive into the use of Tableau for complex data analysis and visualization tasks, and includes practice exercises and case studies to reinforce the concepts.
This great reference book to keep with you at all times. It provides an easy-to-read and practical approach to the key concepts of Tableau. It can be used to reinforce concepts learned in the course and brush up on forgotten concepts.
Great reference for anyone working with Tableau. It can be used to supplement your learning or as a reference guide as you work through the course. It is very in-depth and detailed.
Focuses on the design and development of effective Tableau dashboards. It covers best practices, design principles, and real-world case studies to help readers create interactive and actionable dashboards.
Offers a practical approach to data visualization using Tableau. It focuses on the visual aspects of data analysis, helping readers to create effective and engaging visualizations to communicate insights.
Beginner-friendly guide to Tableau Public, the free version of Tableau. It offers a quick and easy introduction to data visualization and analysis, making it suitable for those new to the field or seeking a low-cost option.
Can be used as a supplement to provide more context and background on data visualization. It can provide you with supplemental learning. Overall, you can use this book to reinforce your knowledge of Tableau and Data Visualization.

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