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Pooja Crahen

Tableau is an industry leading data visualization tool. This course will teach you how to aggregate dimensions and measures in Tableau.

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Tableau is an industry leading data visualization tool. This course will teach you how to aggregate dimensions and measures in Tableau.

In order to seek insights from the data, it needs to be summarized. In this course, Tableau Desktop Specialist - Understanding Aggregations, you’ll use different types of aggregations and learn how you can aggregate dimensions and measures. First, you'll explore how granularity and level of detail impacts results in your views. Next, you’ll discover ways to aggregate dimensions and measures. Finally, you’ll learn how you can aggregate using level of detail expressions and table calculations. When you’re finished with this course, you’ll have the skills and knowledge of aggregations needed to accurately and effectively represent your data on a dashboard.

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What's inside

Syllabus

Course Overview
Aggregating Dimensions and Measures
Tableau in Action

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills and tools that are core to work in data visualization
Covers the theoretical foundation of data aggregation and teaches how to apply it to real-world scenarios
Provides practical, hands-on exercises to reinforce the skills learned throughout the course
Taught by instructors with deep expertise in Tableau and data visualization
Requires no prior knowledge of Tableau or data visualization, making it accessible to beginners

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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 Tableau Desktop Specialist - Understanding Aggregations with these activities:
Review basic statistics
This activity will help you to refresh your basic statistics skills, which will be helpful for understanding the concepts covered in the course.
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Show steps
  • Review the concepts of mean, median, and mode.
  • Review the concepts of standard deviation and variance.
  • Review the concepts of hypothesis testing.
Read Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
This book provides a comprehensive overview of Big Data analytics, including data visualization techniques.
Show steps
  • Read Chapters 1-3 to gain an understanding of the basics of Big Data and data visualization.
  • Review the case studies in Chapters 4-6 to see how data visualization is used in practice.
Tableau Tutorial
This tutorial will provide you with a step-by-step guide to using Tableau, which will help you to get started with the software quickly and easily.
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Show steps
  • Watch the video tutorials.
  • Follow the step-by-step instructions.
  • Complete the practice exercises.
Five other activities
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Show all eight activities
Tableau exercises
These exercises will provide you with hands-on experience with Tableau, which will help you to better understand the concepts covered in the course.
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Show steps
  • Create a bar chart of the sales data.
  • Create a line chart of the stock prices.
  • Create a scatter plot of the customer data.
Study group
This study group will provide you with an opportunity to discuss the course material with other students, which will help you to better understand the concepts.
Browse courses on Tableau
Show steps
  • Find a group of students to study with.
  • Meet regularly to discuss the course material.
  • Work together on assignments and projects.
Tableau workshop
This workshop will provide you with an opportunity to learn from a Tableau expert, who will teach you about the latest features and techniques.
Browse courses on Tableau
Show steps
  • Register for the workshop.
  • Attend the workshop.
  • Take notes and ask questions.
  • Apply what you learn to your own work.
Data visualization project
This project will allow you to apply your Tableau skills to a real-world dataset.
Browse courses on Tableau
Show steps
  • Choose a dataset that you are interested in.
  • Clean and prepare the data.
  • Create a data visualization that tells a story.
  • Share your data visualization with others.
Contribute to the Tableau community
This activity will allow you to give back to the Tableau community and learn from other users.
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Show steps
  • Find a Tableau project to contribute to.
  • Submit a pull request.
  • Review other people's pull requests.

Career center

Learners who complete Tableau Desktop Specialist - Understanding Aggregations will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course, Tableau Desktop Specialist - Understanding Aggregations, would be a valuable resource for Data Analysts because it teaches how to use Tableau to aggregate data. This skill is essential for Data Analysts because it allows them to summarize data and identify trends and patterns. Additionally, the course covers how to use level of detail expressions and table calculations, which are advanced techniques that can be used to create more complex and insightful data visualizations.
Business Analyst
Business Analysts use data to help businesses understand their operations and make better decisions. This course would be a valuable resource for Business Analysts because it teaches how to use Tableau to aggregate data. This skill is essential for Business Analysts because it allows them to summarize data and identify trends and patterns. Additionally, the course covers how to use level of detail expressions and table calculations, which are advanced techniques that can be used to create more complex and insightful data visualizations.
Data Scientist
Data Scientists use data to build predictive models and solve business problems. This course would be a valuable resource for Data Scientists because it teaches how to use Tableau to aggregate data. This skill is essential for Data Scientists because it allows them to summarize data and identify trends and patterns. Additionally, the course covers how to use level of detail expressions and table calculations, which are advanced techniques that can be used to create more complex and insightful data visualizations.
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis. This course would be a valuable resource for Data Engineers because it teaches how to use Tableau to aggregate data. This skill is essential for Data Engineers because it allows them to summarize data and identify trends and patterns. Additionally, the course covers how to use level of detail expressions and table calculations, which are advanced techniques that can be used to create more complex and insightful data visualizations.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course would be a valuable resource for Software Engineers because it teaches how to use Tableau to visualize data. This skill is essential for Software Engineers because it allows them to create dashboards and other data visualizations that can help users understand the data and make better decisions.
Statistician
Statisticians use data to make inferences about the world. This course would be a valuable resource for Statisticians because it teaches how to use Tableau to visualize data. This skill is essential for Statisticians because it allows them to create charts and graphs that can help them understand the data and make better decisions.
Market Researcher
Market Researchers use data to understand the needs and wants of customers. This course would be a valuable resource for Market Researchers because it teaches how to use Tableau to visualize data. This skill is essential for Market Researchers because it allows them to create charts and graphs that can help them understand the data and make better decisions.
Financial Analyst
Financial Analysts use data to make investment decisions. This course would be a valuable resource for Financial Analysts because it teaches how to use Tableau to visualize data. This skill is essential for Financial Analysts because it allows them to create charts and graphs that can help them understand the data and make better decisions.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of operations. This course would be a valuable resource for Operations Research Analysts because it teaches how to use Tableau to visualize data. This skill is essential for Operations Research Analysts because it allows them to create charts and graphs that can help them understand the data and make better decisions.
Management Consultant
Management Consultants use data to help businesses improve their performance. This course would be a valuable resource for Management Consultants because it teaches how to use Tableau to visualize data. This skill is essential for Management Consultants because it allows them to create charts and graphs that can help them understand the data and make better decisions.
Actuary
Actuaries use data to assess risk and uncertainty. This course may be useful for Actuaries because it teaches how to use Tableau to visualize data. This skill can be helpful for Actuaries when they are trying to understand the data and make better decisions.
Economist
Economists use data to understand the economy. This course may be useful for Economists because it teaches how to use Tableau to visualize data. This skill can be helpful for Economists when they are trying to understand the data and make better decisions.
Epidemiologist
Epidemiologists use data to study the causes of disease. This course may be useful for Epidemiologists because it teaches how to use Tableau to visualize data. This skill can be helpful for Epidemiologists when they are trying to understand the data and make better decisions.

Reading list

We've selected eight 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 Tableau Desktop Specialist - Understanding Aggregations.
This comprehensive guide to Tableau provides a solid foundation in data visualization and analysis using Tableau. It covers everything from data preparation to creating interactive dashboards and is an excellent companion to the course, providing both background knowledge and practical examples.
This practical guide focuses on using Tableau to create effective and engaging data visualizations. It covers a wide range of topics, including data preparation, chart types, and advanced visualization techniques. It provides valuable insights into the use of aggregations in data visualization.
Provides a comprehensive overview of data visualization best practices, including guidance on selecting the right chart types for different types of data and audiences. It includes a chapter on data aggregation and how to use it effectively in visualizations.
This comprehensive guide to Tableau covers everything from data preparation and visualization to advanced techniques and best practices. It includes detailed explanations of aggregations and how to use them to create meaningful data insights.
Provides a comprehensive overview of data visualization principles and best practices. It covers a wide range of chart types and offers guidance on choosing the right chart for the message you want to convey. It valuable resource for learners who want to create effective and engaging visualizations.
Provides advanced training on Tableau, including advanced aggregation techniques, custom calculations, and data blending. It valuable resource for experienced Tableau users who want to enhance their skills.
Provides a comprehensive overview of data visualization principles and best practices. It covers a wide range of topics, from data storytelling to visual design. It valuable resource for learners who want to create effective and engaging visualizations.
Provides a clear and concise introduction to data visualization. It covers the basics of data visualization, including chart types, design principles, and best practices. It valuable resource for beginners who want to learn the fundamentals of data visualization.

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