Back to Catalog

Tableau: Advanced Dashboards and Stories

Premium
IntermediateCourse

Gain hands-on experience with Tableau, mastering data visualization concepts like creating dual-axis charts, customizing spatial analytics, and working on Tableau stories.

Language

  • English

Topic

  • Business Intelligence

Skills You Will Learn

  • Data Preparation, Data Analysis, Tableau Software, Data Visualization, Dashboard

Offered By

  • SkillUpEdTech

Estimated Effort

  • 3 weeks

Platform

  • SkillsNetwork

Last Update

  • April 22, 2025
About this Course
Gain the expertise you need to create advanced data visualizations using Tableau, so you can effectively communicate analytic insights to your stakeholders. 
 
You will learn: 
 
  • Apply advanced techniques to create interactive and dynamic visualizations in Tableau 
  • Demonstrate a comprehensive understanding of Tableau’s capabilities and features such as advanced formatting, dashboard design, and web objects 
  •  Create dynamic dashboards in Tableau that include intuitive navigation for an engaging user experience 
  • Use Tableau features to deliver insightful dashboards and stories for data exploration and manipulation. 
 
Course Overview 
 
This course provides hands-on experience in creating sophisticated data visualizations that go beyond the basics. You’ll start by learning how to connect Tableau to SQL databases, creating data linkages, and creating hierarchies and stories for effective analysis, starting with data connectivity and modeling. 
 
You’ll also learn sophisticated modeling approaches, execute computations, and optimize data models for performance. The course is designed to teach you how to control data granularity, utilize calculated fields, and investigate expressions for ‘Level of Detail’ in complicated analytics. 
 
You will create your dashboard and link it to other dashboards to create seamless data journeys to analyze and explore data effectively. Additionally, you will learn tooltips, hierarchical navigation, and creating user-friendly interfaces. 
 
By the end of this course, you’ll be proficient in creating dynamic dashboards in Tableau and gain practical skills working on real-world scenarios to stand out in the job market! 


Course Syllabus

Module 0: Welcome 
  • Video: Course Introduction 
  • Reading: General Information 
  • Reading: Learning Objectives and Syllabus 
  • Reading: Grading Scheme 
Module 1: Data Sources, Data Modelling, and Advanced Analytics 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Connecting Tableau to Data Sources 
  • Video: Understanding Data Relationships and Hierarchies 
  • Reading: Union Tables and Blend Data 
  • Video: Building Hierarchies 
  • Lab: Building Hierarchies in Tableau 
  • Video: Applying Data Model Optimization Techniques – Part 1 
  • Video: Applying Data Model Optimization Techniques – Part 1 
  • Video: Implementing Data Modeling in Tableau 
  • Lab: Implementing Data Modeling in Tableau 
  • Video: Creating Basic Visualizations using Calculations 
  • Video: Understanding Level of Detail (LOD) Expressions 
  • Video: Utilizing Level of Detail (LOD) Expressions 
  • Lab: Creating Visualizations and Calculations and Calculated Fields 
  • Video: Leveraging Calculated Fields for Advanced Analytics 
  • Video: Managing Data Granularity and Aggression 
  • Reading: Exploring Advanced Aggression Techniques 
  • Lab: Using Calculated Fields for Advanced Analysis 
  • Practice Quiz: Data Sources, Data Modeling, and Advanced Analytics 
  • Reading: Module 1 Summary: Data Sources, Data Modeling, and Advanced Analytics 
  • Module 1 Graded Quiz: Data Sources, Data Modeling, and Advanced Analytics 
Module 2: Advanced Formatting and User Experience in Visualization 
  • Reading: Module Introduction & Learning Objectives 
  • Video: Advanced Formatting and User Experience in Desktop 
  • Video: Using Tooltips for Enhanced Data Insights 
  • Video: Using Tooltips with Hierarchical Navigation 
  • Reading: Designing Intuitive User Experiences in Tableau 
  • Lab: Optimizing Visualizations and User Interaction 
  • Video: Incorporating Actions and Navigation in Dashboards 
  • Lab: Configuring Dashboard Actions 
  • Video: Creating Story Points for Data Storytelling 
  • Video: Sharing Dashboards Securely with Stakeholders 
  • Reading: Elevating Dashboard Interactivity in Tableau 
  • Video: Utilizing Dashboards Extensions and Web Objects 
  • 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 3: Final Project and Final Quiz 
  • Reading: Module Introduction & Learning Objectives 
  • Reading: Practice Project Overview 
  • Lab: Practice Project 
  • Reading: Final Project Overview 
  • Reading: Final Project: Working with the New York Airbnb Pricing Report in Tableau Public 
  • Peer Graded Assessment 
  • Final Quiz 
  • Reading: Congratulations and Next Steps 
  • Reading: Team and Acknowledgments 
  • Reading: Copyrights and Trademarks 
  • Form: Feedback 
  • Reading: How to Claim your Certificate 

Recommended Skills Prior to Taking this Course

This intermediate-level course is ideal for anyone curious about Tableau’s capabilities. Some prior experience with Tableau Public is recommended but not required. 

Instructors

IBM Skills Network Team

Administrator

IBM Skills Network

Read more

Shubhra Das

IT-SME

I am a Senior Consultant with over 20 years of experience in IT project management, software testing, data science, and education. My career combines a proven ability to lead large-scale initiatives with a passion for mentoring and innovation, creating value in both financial outcomes and human capital. In my corporate career, I’ve transformed complex, high-risk projects into success stories. At IBM, I led a 500+ member testing team, saving $5.5M through Lean Six Sigma practices and establishing Testing Centers of Excellence (TCoEs). My expertise includes implementing Agile methodologies, automating workflows using tools like Selenium and JMeter, and resolving critical escalations. These efforts consistently delivered measurable success for clients across healthcare and IT sectors. As an educator, I’ve empowered 100+ students at The Princeton Review to achieve competitive GMAT, GRE, and SAT scores. Recently, I’ve extended my passion for teaching by developing IBM-collaborated data science courses for Coursera, crafting hands-on labs and projects in Python, R, and Tableau, combining real-world applications with academic rigor. Armed with a Master’s degree in Computer Science (Data Science) from the University of Illinois Urbana-Champaign, I specialize in data-driven problem-solving, machine learning, and deep learning for healthcare. My work bridges the gap between technology and education, ensuring impactful outcomes for both industries and individuals. Whether turning around “red alert” projects or mentoring the next generation, I thrive at the intersection of innovation and collaboration. Through my journey, I aim to inspire others to achieve excellence and unlock their full potential.

Read more