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Advanced Data Visualization Techniques in Tableau
Course
Advanced Data Visualization Techniques in Tableau
Unlock advanced Tableau skills to create interactive dashboards, explore data with ease, and deliver insights that impress. Learn to control data granularity, use calculated fields, and design seamless, user-friendly visualizations.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
3 weeks
2-4 hours/week
2-4 hours/week
Advanced analytics and data visualization are vital for professionals seeking to extract deeper insights and drive impactful decision-making. Tableaus powerful capabilities make it the tool of choice for advanced users looking to elevate their analytical skills.
In this advanced course, you will master the intricacies of Tableau, starting with data connectivity and modeling. Youll learn how to connect Tableau to SQL databases, build data linkages, and create hierarchies to enable effective and scalable analysis. The curriculum delves into advanced modeling approaches, complex computations, and performance optimization strategies.
You will gain hands-on experience controlling data granularity, working with calculated fields, and leveraging Level of Detail (LOD) expressions to tackle sophisticated analytics challenges. The course also covers best practices for effective data transfer, designing intuitive tooltips, and enabling hierarchical navigation.
With a strong focus on interactivity through dashboard actions and linking, youll create seamless, user-friendly interfaces that empower users to explore and analyze data with ease.
You will participate in hands-on labs and real-world projects to reinforce your learning and build a portfolio of advanced Tableau work. These practical experiences ensure you acquire the job-ready skills that employers seek in todays competitive market.
This course is designed for learners with foundational Tableau experience who are ready to advance their skills and take on more complex data visualization and analytics tasks. Overall, this course will prepare you to excel in advanced analytics roles and contribute greater value to your organization.
This course comprises four purposely designed modules that take you on a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-4 hours per week, you will complete the course in 3 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, and online exams questions.
Once you have successfully completed the course, you will earn your Certificate of Completion.
You will be able to:
- Demonstrate advanced analytics and data visualization skills in Tableau, showcasing expertise valued by employers in data-driven roles.
- Connect Tableau to SQL databases, establish robust data linkages, and create hierarchies for comprehensive data analysis.
- Apply sophisticated data modeling techniques, perform complex computations, and optimize data models for high performance.
- Control data granularity, utilize calculated fields, and implement Level of Detail (LOD) expressions for intricate analytics.
- Design user-friendly and interactive dashboards, incorporating tooltips, hierarchical navigation, and seamless data journeys through dashboard actions and linking.
- Data analysts and business intelligence professionals seeking to deepen their expertise in data modeling, advanced calculations, and interactive dashboard design.
- Tableau users who have completed introductory Tableau training or have equivalent hands-on experience and are ready to tackle complex data scenarios, performance optimization, and sophisticated visualization techniques.
- Learners aiming for Tableau Certified Data Analyst or similar advanced certifications.
- Reporting professionals and data scientists want to leverage Tableaus advanced capabilities for real-world business impact.
Experience with the fundamentals of data analysis and Tableau.
Course Outline
Video: Course Introduction (3:51)
General Information
Learning Objectives and Syllabus
Grading Scheme
Reading: Module Introduction and Learning Objectives
Video: Connecting Tableau to Data Sources (8:15)
Video: Understanding Data Relationships and Hierarchies (7:48)
Reading: Union Tables and Blend Data
Video: Building Hierarchies (4:40)
Lab: Building Hierarchies in Tableau
Video: Applying Data Model Optimization Techniques - Part 1 (7:15)
Video: Applying Data Model Optimization Techniques - Part 2 (8:09)
Video: Implementing Data Modeling in Tableau (6:54)
Lab: Implementing Data Modeling in Tableau
Video: Creating Basic Visualizations using Calculations (8:41)
Video: Understanding Level of Detail (LOD) Expressions (4:29)
Video: Utilizing Level of Detail (LOD) Expressions (6:53)
Lab: Creating Visualizations with Calculations and Calculated Fields
Video: Leveraging Calculated Fields for Advanced Analytics (8:22)
Video: Managing Data Granularity and Aggregation (6:36)
Reading: Exploring Advanced Aggregation Techniques
Lab: Using Calculated Fields for Advanced Analysis
Practice Quiz: Data Sources, Data Modeling, and Advanced Analytics
Module 1 Summary: Data Sources, Data Modeling, and Advanced Analytics
Module 1 Graded Quiz: Data Sources, Data Modeling, and Advanced Analytics
Module Introduction and Learning Objectives
Video: Advanced Formatting and User Experience (8:34)
Video: Using Tooltips for Enhanced Data Insights (8:16)
Video: Using Tooltips with Hierarchical Navigation (6:59)
Designing Intuitive User Experiences in Tableau
Lab: Optimizing Visualizations and User Interaction
Video: Incorporating Actions and Navigation in Dashboards (6:16)
Lab: Configuring Dashboard Actions
Video: Creating Story Points for Data Storytelling (7:52)
Video: Sharing Dashboards Securely with Stakeholders (8:07)
Elevating Dashboard Interactivity in Tableau
Video: Utilizing Dashboard Extensions and Web Objects (6:05)
Lab: Adding Dashboard Extensions in Tableau
Practice Quiz: Advanced Formatting and User Experience
Module 2 Summary: Advanced Formatting and User Experience
Module 2 Graded Quiz: Advanced Formatting and User Experience
Module Introduction and Learning Objectives
Reading: Practice Project Overview
Lab: Practice Project
Final Project Overview
Final Project: Working with the New York Airbnb Pricing Report in Tableau Public
Peer Graded Assessment
Final Quiz
Congratulations and Next Steps
Reading: Team and Acknowledgments
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
While Tableau can generate reports, it is primarily a Tableau data visualization tool designed to create dynamic dashboards and advanced analytics. Unlike traditional reporting systems, Tableau for data visualization emphasizes interactivity, storytelling, and advanced data visualization techniques that support decision-making at every level.
Tableau offers several advanced features, including interactive dashboards in Tableau, advanced calculated fields, hierarchical navigation in Tableau, data blending, and optimized data extracts. These allow users to implement advanced data visualization tools that improve performance, enhance insights, and support business intelligence needs.
Advanced data visualization goes beyond simple charts and graphs to use data visualization techniques like multi-layered dashboards, data storytelling with Tableau, predictive analytics, and customized tooltips. The goal is to transform raw data into user-friendly, actionable insights using Tableau data visualisation methods.
The four key data visualization techniques are:
- Comparison (bar charts, line charts)
- Distribution (histograms, scatter plots)
- Composition (pie charts, stacked charts)
- Relationship (bubble charts, network diagrams)
In the context of data visualization with Tableau, these techniques are enhanced with interactive dashboard actions, data granularity control, and linking multiple views for deeper insights.
The 5 Cs are: Clear, Clean, Concise, Captivating, and Contextual. When applied to data visualization with Tableau, these principles ensure dashboards are not only visually appealing but also strategically aligned with business decision-making.
The salary varies by country and experience, but advanced skills in Tableau for data visualization and strong command over data visualization tools and techniques can significantly boost career prospects. According to the latest report from Salary.com, the average annual salary for a Tableau developer in the United States ranges from $118,444 to $139,049.
Yes. Proficiency in Tableau data visualization is in high demand across industries. Roles such as Tableau developer, BI analyst, and data visualization specialist often require mastery of Tableau data visualization tools and advanced dashboard-building skills.
Absolutely. Tableau is widely recognized as a leading Tableau visualization tool. With the growth of analytics and data visualization techniques in data mining, organizations increasingly rely on professionals skilled in advanced data visualization tools to drive insights.
Tableau seamlessly connects with multiple databases such as SQL Server, MySQL, Oracle, Snowflake, and Google BigQuery. These integrations enhance data visualization tools Tableau capabilities by providing real-time insights from structured and unstructured data.
Yes, after completing this course, youll receive a Certificate of Completion that demonstrates your newly acquired skills and knowledge.
Type of certificate
Certificate of completion
About this course
04 Modules
04 Skills
Includes
Discussion Space
08 Hands-On Labs
02 Practice Quizzes
02 Graded Quiz
01 Final Quiz
01 Final Project
19 Videos
Create
Building Hierarchies in Tableau
Creating Visualizations with Calculations and Calculated Fields
Configuring Dashboard Actions
Exercises to explore
Implementing Data Modeling in Tableau
Using Calculated Fields for Advanced Analysis
Optimizing Visualizations and User Interaction
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