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Skill-Up EdTech Team and Shubhra Das

This advanced Tableau course covers a broad variety of topics to provide you with advanced analytics and data visualization skills. The course walks you through connecting Tableau to SQL databases, creating data linkages, and creating hierarchies for effective analysis, starting with data connectivity and modeling.

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This advanced Tableau course covers a broad variety of topics to provide you with advanced analytics and data visualization skills. The course walks you through connecting Tableau to SQL databases, creating data linkages, and creating hierarchies for effective analysis, starting with data connectivity and modeling.

You will work with sophisticated modeling approaches, execute computations, and optimize data models for performance. The course has a strong emphasis on controlling data granularity, utilizing calculated fields, and investigating expressions for ‘Level of Detail’ in complicated analytics.

Topics include effective data transfer, tooltips, hierarchical navigation, and creating user-friendly interfaces. By incorporating interactivity through actions and linking between dashboards, you’ll create seamless data journeys that empower users to explore and analyze information effortlessly.

Throughout the course, you will have opportunities to practice what you have learned. Hands-on labs and projects are inspired from real-world scenarios, to equip you with the advanced, practical Tableau skills that employers seek in today’s job market.

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What's inside

Syllabus

Data Sources, Data Modeling, and Advanced Analytics
In this module, you will learn to elevate your business analysis capabilities by using the full potential of Tableau’s diverse data connectivity features. You will learn about Tableau’s connectivity features and gain insights into business operations across diverse platforms. Learn to track performance metrics, analyze customer behavior, and optimize operational efficiency for informed decision-making. You will explore Tableau’s data relationship capabilities to seamlessly integrate and compare data sets, enhancing your ability to derive valuable insights. Use data model optimization techniques for efficient calculations and a smoother user experience, elevating the effectiveness of your data analysis processes. Additionally, you will gain skills to combine data from various sources, identify trends, and make informed decisions, all while optimizing performance in data analysis and dashboard design. Through hands-on exercises and practical applications, you will learn to seamlessly integrate data from various sources, enabling comprehensive insights into business operations and informed decision-making.
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Advanced Formatting and User Experience 
In this module, you will learn how to format data and create a visualization for a better user experience. In lesson 1, you will explore advanced formatting techniques and tooltips. The formatting techniques include fonts, colors, shapes, images, layout, and text objects. With advanced formatting, you will also learn to customize your layouts to make them easy to view on any device. Next, you will delve into tooltips and their application to data insights. Tooltips also help enhance the user experience. In lesson 2, you will learn to create a story using Tableau features such as formatting, layouts, and tooltips. A story comprises story points, dashboards, graphs, and maps. You will explore ways to share these stories and dashboards securely with your stakeholders. Lastly, you will learn to choose a secure sharing option based on certain factors.
Final Project and Final Quiz 
In this module, you’ll complete a final project where you’ll apply the knowledge and skills you’ve learned throughout the course to complete a data visualization project from start to finish. Then, you will complete the final quiz to validate your knowledge.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops professional skills in advanced data analytics and data visualization
Covers advanced topics, including data connectivity, modeling, calculations, and complex analytics
Hands-on labs and projects provide practical experience with real-world scenarios
Emphasizes user experience with advanced formatting, tooltips, and interactive dashboards
Taught by Skill-up EdTech Team and Shubhra Das, experienced instructors in data analytics
Suitable for learners with some prior experience in data analysis and visualization

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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 Data Visualization with Tableau with these activities:
Tableau Data Connectivity
Reviewing Tableau's data connectivity features will strengthen your foundation for data analysis and visualization.
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  • Review documentation on Tableau's data connectivity options
  • Practice connecting Tableau to various data sources, e.g., databases, CSV files
Organize study materials
Gather and organize all of your course materials in a way that will make them easy to review before and during the course.
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Show steps
  • Gather all of your course materials.
  • Create a system for organizing your materials.
  • Store your materials in a way that is easy to access.
Tableau User Interface Collaboration
Collaborating with peers on Tableau projects will enhance your understanding of the user interface and promote knowledge sharing.
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  • Form a study group with classmates to work on Tableau projects together
  • Share ideas, provide feedback, and troubleshoot challenges within the group
Five other activities
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Practice using Tableau in a guided environment
Follow along with online tutorials or workshops to practice using Tableau and reinforce the skills you are learning in the course.
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  • Search for online Tableau tutorials or workshops.
  • Choose a tutorial or workshop that is relevant to your skill level.
  • Follow the instructions in the tutorial or workshop.
Mentor other students in the course
Offer to help other students in the course, which will help you solidify your own understanding of the material while also helping others.
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  • Identify other students in the course who could benefit from your help.
  • Offer to help them with their coursework.
  • Meet with them regularly to provide help and support.
Find a mentor who can help you with Tableau
Identify someone who has experience with Tableau and can provide you with guidance and support as you learn the software.
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  • Identify people in your network who have experience with Tableau.
  • Ask them if they would be willing to mentor you.
  • Meet with your mentor regularly to get advice and support.
Create a variety of data visualizations in Tableau
Apply the skills you are learning in the course to create your own data visualizations in Tableau, which will help you solidify your understanding of the concepts.
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  • Gather data from a variety of sources.
  • Clean and prepare the data for analysis.
  • Create a variety of data visualizations using Tableau.
Develop a Tableau dashboard to track business performance
Create a Tableau dashboard that can be used to track and analyze key business performance metrics, which will allow you to apply your skills to a real-world problem.
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  • Identify the key business performance metrics that you want to track.
  • Gather data from a variety of sources.
  • Clean and prepare the data for analysis.
  • Create a Tableau dashboard to visualize the data.

Career center

Learners who complete Advanced Data Visualization with Tableau will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
A Data Visualization Specialist is a professional who creates visual representations of data. Data visualization specialists may work in a variety of industries, including finance, healthcare, and retail. They typically have a bachelor's degree in a field such as data science, computer science, or design. The Advanced Data Visualization with Tableau course may be very useful for aspiring Data Visualization Specialists, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. Data scientists may work in a variety of industries, including finance, healthcare, retail, and manufacturing. They typically have a master's degree or PhD in a field such as mathematics, statistics, or computer science. The Advanced Data Visualization with Tableau course may be useful for aspiring Data Scientists, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Statistician
A Statistician is a professional who collects, analyzes, interprets, and presents data. Statisticians may work in a variety of industries, including government, healthcare, and education. They typically have a bachelor's degree in a field such as statistics, mathematics, or computer science. The Advanced Data Visualization with Tableau course may be useful for aspiring Statisticians, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Computer Systems Analyst
A Computer Systems Analyst is a professional who analyzes and designs computer systems. Computer systems analysts may work in a variety of industries, including government, finance, and healthcare. They typically have a bachelor's degree in a field such as computer science or information technology. The Advanced Data Visualization with Tableau course may be useful for aspiring Computer Systems Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Data Analyst
A Data Analyst is a professional who can collect, analyze, interpret, and present data in a way that helps organizations make informed decisions. Data analysts may work in a variety of industries, including finance, healthcare, retail, and manufacturing. They typically have a bachelor's degree in a field such as mathematics, statistics, or computer science. The Advanced Data Visualization with Tableau course may be useful for aspiring Data Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Data Engineer
A Data Engineer is a professional who designs, builds, and manages data pipelines. Data engineers may work in a variety of industries, including finance, healthcare, retail, and manufacturing. They typically have a bachelor's degree in a field such as computer science or software engineering. The Advanced Data Visualization with Tableau course may be useful for aspiring Data Engineers, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Business Intelligence Analyst
A Business Intelligence Analyst is a professional who uses data to help organizations make better decisions. Business intelligence analysts may work in a variety of industries, including finance, healthcare, retail, and manufacturing. They typically have a bachelor's degree in a field such as business, economics, or computer science. The Advanced Data Visualization with Tableau course may be useful for aspiring Business Intelligence Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Budget Analyst
A Budget Analyst is a professional who develops and manages budgets for organizations. Budget analysts may work in a variety of industries, including government, healthcare, and education. They typically have a bachelor's degree in a field such as finance, economics, or accounting. The Advanced Data Visualization with Tableau course may be useful for aspiring Budget Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make investment recommendations. Financial analysts may work in a variety of industries, including investment banking, asset management, and corporate finance. They typically have a bachelor's degree in a field such as finance, economics, or accounting. The Advanced Data Visualization with Tableau course may be useful for aspiring Financial Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Database Administrator
A Database Administrator is a professional who manages and maintains databases. Database administrators may work in a variety of industries, including finance, healthcare, and retail. They typically have a bachelor's degree in a field such as computer science or information technology. The Advanced Data Visualization with Tableau course may be useful for aspiring Database Administrators, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Information Security Analyst
An Information Security Analyst is a professional who protects computer systems and networks from unauthorized access. Information security analysts may work in a variety of industries, including government, finance, and healthcare. They typically have a bachelor's degree in a field such as computer science or information technology. The Advanced Data Visualization with Tableau course may be useful for aspiring Information Security Analysts, as it provides them with the skills they need to create clear and concise data visualizations, which are essential for communicating data insights to stakeholders.
Market Research Analyst
A Market Research Analyst is a professional who conducts research to understand consumer behavior and market trends. Market research analysts may work in a variety of industries, including consumer goods, media, and healthcare. They typically have a bachelor's degree in a field such as marketing, economics, or business.
Operations Research Analyst
An Operations Research Analyst is a professional who uses mathematical and analytical techniques to solve business problems. Operations research analysts may work in a variety of industries, including manufacturing, supply chain management, and transportation. They typically have a master's degree or PhD in a field such as operations research, industrial engineering, or mathematics.
Web Developer
A Web Developer is a professional who designs and develops websites. Web developers may work in a variety of industries, including consumer goods, media, and healthcare. They typically have a bachelor's degree in a field such as computer science or web development.
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. Software engineers may work in a variety of industries, including consumer goods, media, and healthcare. They typically have a bachelor's degree in a field such as computer science or software engineering.

Reading list

We've selected ten 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 Data Visualization with Tableau.
Is an excellent resource for learning how to use Tableau. It covers all the basics of the software, from data preparation to creating visualizations. It is also a great reference for more experienced users who want to learn about advanced features.
A valuable resource that introduces Tableau's capabilities and provides hands-on guidance on creating effective data visualizations. It covers essential concepts, techniques, and best practices, serving as an excellent reference for beginners and experienced users alike, complementing the course material.
A general book on dashboard design, which provides background knowledge relevant to using Tableau.
A foundational book that emphasizes the principles and best practices of data visualization, helping readers understand the different types of charts and graphs and when to use them effectively. Its focus on data storytelling aligns with the course's emphasis on creating user-friendly and informative visualizations.
A visually engaging book that explores the principles of effective data visualization, with a focus on storytelling and communicating complex information clearly. It provides valuable insights into the cognitive and perceptual aspects of data visualization, complementing the course's emphasis on user experience.
A classic work that explores the principles of designing effective information dashboards. It provides insights into cognitive psychology and perception, helping readers understand how to create dashboards that are clear, informative, and actionable, enhancing the course's focus on creating user-friendly and interactive visualizations.
A concise and accessible book that provides a solid foundation in data visualization. It covers the basic principles and techniques of data visualization, making it a useful resource for beginners or those who need a refresher on the fundamentals, supplementing the course's introductory modules.
A specialized book that focuses on creating interactive data visualizations for the web. It covers advanced topics such as web development frameworks and JavaScript libraries, providing additional depth to the course's coverage of interactivity and dashboard design.
A seminal work in the field of data visualization. It provides a comprehensive overview of the principles and techniques of data visualization, with a focus on statistical graphics. While it may not be as directly relevant to Tableau as other books, it offers a valuable foundation in the theoretical and historical aspects of data visualization, enhancing the understanding of the subject matter.

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