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Desiree' Abbott

In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

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What's inside

Syllabus

Data Visualization and Its Importance
In this module, you will be able to define what data visualization is and discuss why it’s so important. You will listen to an interview with Dr. Ben Shneiderman, a modern pioneer of data visualization. You will be able to define interactive visualization and install Tableau Public so you can start to get acquainted with it for the next module. You will be able to make a simple viz so you can clearly see what skills are used in the process.
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Getting to Know Tableau for Data Visualization
In this module, you will be able to identify and describe the various parts that make up the welcome screen, worksheet screen, and dashboard screen.
Let's Make a Viz!
In this module, you’ll be able to identify potential questions to answer with a given dataset. You will be able to make three different charts: a line chart, a tree map, and a bar chart. You will be able to create a dashboard with those charts, and be able to add some simple dashboard interactions.
Tableau Community Projects and Visualization Best Practices
In this module, you will be able to discuss where to get help. You will also be able to discuss where to go for inspiration and how to get involved in the Tableau community. If you are up for the challenge, you will also have the option to obtain an honor badge by applying five data visualization best practices and participate in a #MakeoverMonday peer reviewed project. Good Luck!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to the fundamentals of data visualization using Tableau
Provides step-by-step guidance for beginners to create their first visualizations
Covers a variety of data visualization techniques and tools within Tableau
Helps learners understand the relationship between data analytics and visual representation
Provides opportunities for learners to apply their skills through exercises and projects

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Reviews summary

Tableau visualization fundamentals

learners say this introductory course begins by discussing what a data visualization is and why it's important. It then guides students through creating their first visualizations using Tableau Public. The course is largely positive with an overall sentiment from students of 85%. Students highlight the easy-to-follow structure, practical nature of the exercises, and how it encourages students to get involved with the data visualization community. Some students note the content is a little outdated, and one of the assignments requires students to have a Twitter account.
Students highlight the easy-to-follow structure, practical nature of the exercises, and how it encourages students to get involved with the data visualization community.
"There are also instructors who are very knowledgeable in that field, so explaining to beginners can be understood"
"The provided right amount of information, instructions were clear and the final assignment gave good grounding on how one would use Tableau and visualizations in the real world."
learners say this introductory course begins by discussing what a data visualization is and why it's important. It then guides students through creating their first visualizations using Tableau Public.
"It covers some of the basics, but now I'm looking forward to delving deeper into the application."
"This is a great beginning for learning Tableau. It covers some of the basics, but now I'm looking forward to delving deeper into the application."
Some students note the content is a little outdated
"Despite taking notes and following closely with all of the learning content, I still felt like I was figuring a lot of things out on my own. The video content is too short compared to what you have to do. A lot more could be fit into the course."
Some students note the content is a little outdated, and one of the assignments requires students to have a Twitter account.
"I think its bad of the course that you need to have twitter to complete it. I think a course should not force you to be on a social media platform you don't want to be on."

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 Fundamentals of Visualization with Tableau with these activities:
Review basic statistics and data analysis concepts
Strengthen your understanding of essential concepts
Browse courses on Statistics
Show steps
  • Review statistical concepts such as mean, median, and standard deviation
  • Practice analyzing data using basic statistical techniques
Watch the “Tableau Tutorial for Beginners” series on YouTube
Supplement your learning through structured tutorials
Show steps
  • Search for the “Tableau Tutorial for Beginners” series on YouTube
  • Watch the videos in the series
  • Follow along with the exercises
Read “Storytelling with Data” by Cole Nussbaumer Knaflic
Review the fundamental principles of data visualization
Show steps
  • Read the book thoroughly
  • Complete the exercises in the book
  • Create a summary of the key concepts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete the Tableau exercises on the official Tableau website
Enhance your Tableau skills through guided practice
Show steps
  • Sign up for a free Tableau account
  • Access the Tableau exercises
  • Complete the exercises
Create a Tableau dashboard on a dataset of your choice
Reinforce your understanding of Tableau by creating a visualization from scratch
Show steps
  • Choose a dataset that interests you
  • Import the data into Tableau
  • Create a dashboard that visualizes the data
  • Share your dashboard with others
Join a Tableau user group or online community
Connect with other Tableau users to share knowledge and learn
Show steps
  • Search for Tableau user groups or online communities
  • Join a relevant group or community
  • Participate in discussions and ask questions
Build a data visualization portfolio
Demonstrate your Tableau skills and showcase your work
Show steps
  • Identify projects that showcase different Tableau features
  • Develop visualizations for each project
  • Create a portfolio website or document
  • Share your portfolio with potential employers or clients
Create a data visualization project using Tableau and present it to an audience
Synthesize your Tableau skills and present your findings effectively
Show steps
  • Choose a topic and develop a research question
  • Collect and analyze data
  • Create Tableau visualizations to present your findings
  • Prepare a presentation
  • Deliver the presentation to an audience

Career center

Learners who complete Fundamentals of Visualization with Tableau will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help organizations communicate insights and make better decisions. This course is a good foundation for aspiring Data Visualization Specialists as it will introduce them to the fundamental concepts of data visualization and teach them how to use Tableau, a popular data visualization software.
Data Visualization Analyst
Data Visualization Analysts use data visualization to identify trends and patterns in data to help organizations make better decisions. This course is a good foundation for aspiring Data Visualization Analysts as it will introduce them to the fundamental concepts of data visualization and teach them how to use Tableau, a popular data visualization software. The course will also teach students how to analyze data and identify insights.
Data Visualization Engineer
Data Visualization Engineers design and develop data visualization solutions for organizations. This course is a good foundation for aspiring Data Visualization Engineers as it will introduce them to the fundamental concepts of data visualization and teach them how to use Tableau, a popular data visualization software. The course will also teach students how to build and maintain data visualization pipelines.
Tableau Developer
Tableau Developers build and maintain Tableau dashboards and visualizations. This course is a good foundation for aspiring Tableau Developers as it will introduce them to the Tableau platform and teach them the basics of data visualization. The course will also teach students how to use Tableau to create interactive dashboards and visualizations.
Data Visualization Designer
Data Visualization Designers create visual representations of data to help organizations communicate insights and make better decisions. This course is a good foundation for aspiring Data Visualization Designers as it will introduce them to the fundamental concepts of data visualization and teach them how to use Tableau, a popular data visualization software. The course will also teach students how to design and create effective data visualizations.
Data Analyst
Data Analysts gather, interpret, and analyze data to help organizations make better decisions. This course can be helpful for aspiring Data Analysts as it will introduce them to the fundamental concepts of data visualization, a key skill for this role. The course will also teach students how to prepare and import data into Tableau, a widely used data visualization software, which is a valuable tool for Data Analysts.
Market Researcher
Market Researchers collect and analyze data to help organizations understand their customers and make better marketing decisions. This course may be useful for aspiring Market Researchers as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Information Architect
Information Architects design and organize websites and other digital products to make them easy to use. This course may be useful for aspiring Information Architects as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
User Experience Researcher
User Experience Researchers study how users interact with products and services to improve the user experience. This course may be useful for aspiring User Experience Researchers as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations make better decisions. This course may be useful for aspiring Business Intelligence Analysts as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Business Analyst
Business Analysts help organizations improve their performance by analyzing data and making recommendations. This course may be useful for aspiring Business Analysts as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of organizations. This course may be useful for aspiring Operations Research Analysts as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Financial Analyst
Financial Analysts use data to evaluate and make recommendations on investments. This course may be useful for aspiring Financial Analysts as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Data Engineer
Data Engineers design and build data pipelines to move data from various sources into a data warehouse. This course may be useful for aspiring Data Engineers as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.
Data Scientist
Data Scientists use data to solve business problems and develop new products and services. This course may be useful for aspiring Data Scientists as it will introduce them to the basics of data visualization, a skill that is becoming increasingly important in this field. The course will also teach students how to use Tableau, a popular data visualization software.

Reading list

We've selected 14 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 Fundamentals of Visualization with Tableau.
This classic text on data visualization provides a theoretical foundation for the field. It discusses the principles of graphical excellence and how to design effective visualizations that convey information clearly.
Provides a comprehensive overview of data visualization principles and best practices. It covers various chart types, their strengths and weaknesses, and how to choose the right chart for different types of data.
Covers advanced topics in Tableau, including data blending, calculations, and analytic techniques. It valuable resource for users who want to take their Tableau skills to the next level.
Is written specifically for beginners new to Tableau 10, but many concepts also apply to other versions of Tableau. It provides a step-by-step guide to creating visualizations, working with data, and using Tableau's features.
Provides guidance on designing effective information dashboards. It covers topics such as dashboard layout, data selection, and visual encoding.
Provides a comprehensive overview of data visualization techniques and principles. It covers various chart types, best practices, and case studies.
Provides practical advice on how to use data visualization to tell compelling stories that can persuade audiences.
Provides a step-by-step guide to creating data visualizations using Microsoft Excel. It covers topics such as data preparation, chart selection, and dashboard design.
Covers the use of the R programming language for data visualization. It provides a comprehensive overview of statistical graphics techniques and how to implement them in R.
Covers the use of Python libraries such as Pandas, Matplotlib, and Seaborn for data visualization. It provides a practical introduction to these libraries and how to use them to create effective visualizations.
Covers the use of motion in data visualization. It discusses how to use motion to convey information clearly and effectively.
Covers the use of the Bokeh library for interactive data visualization in Python.
Explores the role of storytelling in human cognition and communication. It discusses how stories can be used to convey information, persuade audiences, and build relationships.

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