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Adam Crahen

Learn how to organize, explore & transform your data before visualizing anything. You'll learn concepts that will help you correct errors, change the way you present data and learn how the order of operations comes into play while you drag & drop.

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Learn how to organize, explore & transform your data before visualizing anything. You'll learn concepts that will help you correct errors, change the way you present data and learn how the order of operations comes into play while you drag & drop.

At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of data and Tableau's Order of Operations. Tableau helps people see and understand their data, but you need to know the why and the how in order to be effective. In this course, Manipulating Data in Tableau Desktop, you will learn techniques for transforming your data before you visualize anything. First, you will learn how to organize your data in the data pane. Next, you will learn techniques for exploring your data set. Finally, you will discover how to transform your data to correct errors and understand how the order of operations can impact your analysis. When you’re finished with this course, you will have the skills and knowledge of manipulating your data to build the right analysis for the job. Software required: Tableau Desktop.

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What's inside

Syllabus

Course Overview
Organizing your Data
Exploring your Data
Transforming your Data
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Order of Operations

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Core skills for analysts are taught, including data organization, exploration, transformation, and order of operations
Appropriate for those who are new to Tableau or want to improve their data manipulation skills
Tableau Desktop is used in the course, which is the industry standard tool for data visualization and analysis

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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 Manipulating Data in Tableau Desktop with these activities:
Review Data Management Concepts
Revisit the basics of data management to strengthen your foundation for the upcoming course.
Show steps
  • Review principles of data modeling and data structures
  • Refresh your understanding of data quality and data integrity
  • Practice creating and manipulating data sets using basic SQL commands
Explore Tableau Desktop Features
Familiarize yourself with Tableau Desktop's functionalities to enhance your course experience.
Browse courses on Tableau Desktop
Show steps
  • Watch introductory tutorials on Tableau Desktop's interface and tools
  • Follow guided exercises to create basic visualizations and dashboards
  • Experiment with different chart types and customization options
Transform and Clean Data
Develop proficiency in data transformation techniques to enhance your data analysis skills.
Browse courses on Data Transformation
Show steps
  • Practice using Tableau's data cleansing tools to remove duplicates and handle missing values
  • Experiment with data transformation functions to create new fields and modify existing ones
  • Utilize calculated fields to perform complex calculations and derive insights
Four other activities
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Show all seven activities
Master the Order of Operations
Gain a thorough understanding of Tableau's Order of Operations to optimize your data analysis workflow.
Browse courses on Order of Operations
Show steps
  • Study Tableau's documentation on the Order of Operations
  • Practice applying the Order of Operations to complex calculations
  • Troubleshoot common errors related to the Order of Operations
  • Create visualizations that demonstrate your mastery of the Order of Operations
Attend a Tableau Workshop
Enhance your skills and knowledge by attending a Tableau workshop led by experienced professionals.
Browse courses on Data Visualization
Show steps
  • Research and identify relevant Tableau workshops
  • Register for a workshop that aligns with your learning goals
  • Actively participate in the workshop sessions and ask questions
  • Apply the insights and techniques learned in the workshop to your own data analysis projects
Build an Interactive Dashboard
Apply your knowledge to create a visually appealing and informative dashboard that showcases your data analysis skills.
Show steps
  • Design the layout and structure of your dashboard
  • Select and prepare the relevant data for your visualization
  • Create visualizations and arrange them effectively on the dashboard
  • Implement interactivity features to enhance user engagement
  • Present and share your interactive dashboard with others
Write a Blog Post on Data Manipulation
Share your knowledge and insights by writing a blog post that provides valuable guidance on data manipulation techniques.
Browse courses on Data Manipulation
Show steps
  • Brainstorm ideas and outline the structure of your blog post
  • Research and gather relevant information on data manipulation
  • Write clear and concise content that explains the concepts effectively
  • Include examples, screenshots, and code snippets to illustrate your points
  • Proofread and publish your blog post on a relevant platform

Career center

Learners who complete Manipulating Data in Tableau Desktop will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to build models and solve business problems. Tableau is a popular tool for data visualization and exploration, and in this course you will learn how to use Tableau to organize, explore and transform data before visualizing it. These are all essential skills for a Data Scientist, and Tableau helps people uncover insights and spot trends in their data, which is essential for building accurate models and solving business problems.
Business Analyst
Business Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and they use this information to make recommendations for improvement. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that are essential for success as a Business Analyst, and Tableau helps people understand their data and make informed decisions.
Data Analyst
Data Analysts organize, explore and transform data to provide insights for decision makers. Tableau Desktop is widely used in this field, and in this course you will learn to use its features to organize, explore and transform data, which is a foundational skill needed in this role. Organizing data in Tableau helps users to efficiently find, access, and visualize the data they need to analyze, and exploring data helps them understand the data they are working with before they start to visualize it. Transforming data helps them clean their data and reshape it to fit the needs of their analysis. All of these skills are essential for success in data analysis.
Data Visualization Engineer
Data Visualization Engineers build and maintain data visualization applications. They use data visualization tools to create dashboards and reports that help users to understand data. Tableau Desktop is one of the most popular data visualization tools, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all essential skills for a Data Visualization Engineer, and Tableau helps people create effective and visually appealing data visualizations.
Data Architect
Data Architects design and manage data systems. They work with data analysts, data scientists and other stakeholders to ensure that data is organized, accessible and secure. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that are essential for success as a Data Architect, and Tableau helps people understand their data and make informed decisions about how to manage it.
Data Engineer
Data Engineers build and maintain data pipelines. They work with data architects and other stakeholders to ensure that data is collected, cleaned and stored in a way that makes it accessible for analysis. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data. These are skills that are helpful for a Data Engineer, and Tableau may be used by Data Engineers to validate data pipelines.
Statistician
Statisticians collect, analyze and interpret data. They use statistical methods to make predictions and draw conclusions about the world around us. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that are essential for success as a Statistician, and Tableau helps people understand their data and make informed decisions.
Software Engineer
Software Engineers design, develop and maintain software applications. They can work in a variety of industries, including data analytics, financial services and healthcare. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These skills may be helpful for a Software Engineer who is working on a data analytics or visualization project. Especially useful is the skill of data organization, which helps programmers write efficient and maintainable code.
Market Researcher
Market Researchers collect and analyze data about consumer behavior. They use this information to help businesses understand their customers and make better decisions about marketing and product development. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform market research data. These are all skills that are essential for success as a Market Researcher, and Tableau helps people understand their data and make informed decisions.
Financial Analyst
Financial Analysts use data to make investment decisions. They analyze financial data to identify trends and patterns, and they use this information to make recommendations for investment. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform financial data. These are all skills that are helpful for a Financial Analyst, and Tableau helps people understand their data and make informed decisions.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and solve problems. They work in a variety of fields, including finance, healthcare and operations research. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that may be helpful for a Quantitative Analyst, and Tableau helps people understand their data and make informed decisions.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to improve the efficiency and effectiveness of organizations. They work in a variety of industries, including manufacturing, transportation and logistics. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that may be helpful for an Operations Research Analyst, and Tableau helps people understand their data and make informed decisions.
Data Journalist
Data Journalists use data to tell stories. They work with data analysts, data scientists and other stakeholders to create data visualizations, infographics and other data-driven content. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that are essential for success as a Data Journalist, and Tableau helps people understand their data and make informed decisions.
Academic Researcher
Academic Researchers use data to conduct research and develop new knowledge. They work in a variety of fields, including the social sciences, natural sciences and humanities. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that may be helpful for an Academic Researcher, and Tableau helps people understand their data and make informed decisions. Of particular relevance is the topic of data transformation, which is essential for cleaning and preparing data for analysis.
Product Manager
Product Managers work with engineers and designers to develop and manage products. They use data to understand customer needs and make decisions about product development. Tableau Desktop is a popular tool for data visualization and exploration, and in this course you will learn how to use it to organize, explore and transform data before visualizing it. These are all skills that may be helpful for a Product Manager, and Tableau helps people understand their data and make informed decisions about their products.

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 Manipulating Data in Tableau Desktop.
Provides a comprehensive overview of data analysis and visualization techniques in Tableau. It covers topics such as data preparation, data visualization, and statistical analysis. It valuable resource for learners who want to gain a solid foundation in data analysis and visualization in Tableau.
Provides a practical guide to data visualization using Tableau. It covers topics such as data preparation, data visualization, and dashboard creation. It valuable resource for learners who want to quickly learn how to use Tableau to create visually appealing and informative data visualizations.
Provides advanced techniques for data analysis and visualization in Tableau. It covers topics such as advanced data visualization, statistical analysis, and data mining. It valuable resource for learners who want to gain a deeper understanding of Tableau's capabilities and use it for more advanced data analysis tasks.
Provides a comprehensive overview of data management and visualization techniques in Tableau. It covers topics such as data preparation, data visualization, and dashboard creation. It valuable resource for learners who want to gain a solid foundation in data management and visualization in Tableau.
Provides a classic guide to data visualization. It covers topics such as the principles of data visualization, data visualization techniques, and data visualization tools. It valuable resource for learners who want to gain a deeper understanding of data visualization and use it effectively to communicate data insights.
Provides a simple guide to data visualization. It covers topics such as the principles of data visualization, data visualization techniques, and data visualization tools. It valuable resource for learners who want to learn the basics of data visualization and use it effectively to communicate data insights.
Provides a guide to data visualization for business professionals. It covers topics such as the principles of data visualization, data visualization techniques, and data visualization tools. It valuable resource for learners who want to use data visualization to communicate data insights effectively to business stakeholders.
Provides a guide to interactive data visualization for the web. It covers topics such as the principles of interactive data visualization, interactive data visualization techniques, and interactive data visualization tools. It valuable resource for learners who want to create interactive data visualizations for the web.

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