This Advanced Tableau course provides next-level training to be able to prep and display data in an efficient way.
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This Advanced Tableau course provides next-level training to be able to prep and display data in an efficient way.
This Advanced Tableau course provides next-level training to be able to prep and display data in an efficient way.
In this course, you’ll utilize Tableau to break down and solve the types of business problems that BI analysts and financial analysts typically face. This course will open the hood of Tableau’s SQL processing to give you a deeper understanding of how these calculations work. You’ll also be applying what you learn to 7 different business scenarios, which we hope you’ll publish into a Tableau Public profile to show off your work.
By the end, you’ll have a deeper understanding of Tableau and the confidence to tackle a huge variety of problems.
Upon completing this course, you will be able to:
• Define level of detail and other critical concepts
• Identify the grain and level of detail of a data set
• Troubleshoot common errors
• Apply fixed, include, and exclude LOD calculations to business scenarios
• Identify how different LODs are affected by context and dimension filters
• Compare LOD calculations to table calculations
This Tableau course is perfect for professionals who have a solid understanding of data analysis and want to expand their skill set to include Tableau’s world-leading visualizations. This course is designed to equip anyone who desires to begin a career in business analysis—or other roles that require displaying and analyzing data sets—with the advanced skills to create dynamic data-viewing experiences.
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Syllabus
Getting Started
This course uses Tableau LOD Calculations to break down and solve the types of business problems that BI analysts and financial analysts typically face.
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Activities
Review Data Analysis Fundamentals
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Ensure a strong foundation by reviewing fundamental data analysis concepts, refreshing your understanding of data types, data structures, and statistical techniques.
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Review basic data types and structures.
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Refresh your understanding of descriptive and inferential statistics.
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Revisit data visualization techniques.
Participate in Tableau Discussion Forums
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Engage with other Tableau users to ask questions, share insights, and learn from others' experiences.
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Join Tableau's community forums.
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Post questions or comments related to the course topics.
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Respond to questions or comments from other users.
Tableau Tutorial Series
Show steps
Deepen your understanding of Tableau by following in-depth tutorials that cover core concepts and techniques.
Browse courses on
Tableau
Show steps
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Search for and identify a beginner-friendly Tableau tutorial series.
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Follow the tutorials in order, taking notes and practicing the exercises.
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Create your own small data visualization project using Tableau, applying the knowledge you gained.
Three other activities
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Utilize Tableau's Visual Best Practices
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Review Tableau's best practices for data visualization to ensure your visualizations are clear, effective, and engaging.
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Data Visualization Best Practices
Show steps
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Familiarize yourself with Tableau's design principles.
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Review examples of effective and ineffective visualizations.
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Apply best practices to your own data visualizations.
LOD Calculations Practice Problems
Show steps
Test your understanding of LOD calculations by solving practice problems that cover common business scenarios.
Show steps
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Review the different types of LOD calculations.
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Complete practice problems that require you to apply LOD calculations to solve business problems.
Explore Tableau's Advanced Features
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Enhance your Tableau skills by following guided tutorials that demonstrate advanced features and techniques.
Show steps
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Identify areas where you can leverage Tableau's advanced features.
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Find and follow tutorials that cover specific advanced features.
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Apply the techniques you learn to your own data visualizations.
Review Data Analysis Fundamentals
Show steps
Ensure a strong foundation by reviewing fundamental data analysis concepts, refreshing your understanding of data types, data structures, and statistical techniques.
Show steps
- Review basic data types and structures.
- Refresh your understanding of descriptive and inferential statistics.
- Revisit data visualization techniques.
Participate in Tableau Discussion Forums
Show steps
Engage with other Tableau users to ask questions, share insights, and learn from others' experiences.
Show steps
- Join Tableau's community forums.
- Post questions or comments related to the course topics.
- Respond to questions or comments from other users.
Tableau Tutorial Series
Show steps
Deepen your understanding of Tableau by following in-depth tutorials that cover core concepts and techniques.
Browse courses on
Tableau
Show steps
- Search for and identify a beginner-friendly Tableau tutorial series.
- Follow the tutorials in order, taking notes and practicing the exercises.
- Create your own small data visualization project using Tableau, applying the knowledge you gained.
Utilize Tableau's Visual Best Practices
Show steps
Review Tableau's best practices for data visualization to ensure your visualizations are clear, effective, and engaging.
Browse courses on
Data Visualization Best Practices
Show steps
- Familiarize yourself with Tableau's design principles.
- Review examples of effective and ineffective visualizations.
- Apply best practices to your own data visualizations.
LOD Calculations Practice Problems
Show steps
Test your understanding of LOD calculations by solving practice problems that cover common business scenarios.
Show steps
- Review the different types of LOD calculations.
- Complete practice problems that require you to apply LOD calculations to solve business problems.
Explore Tableau's Advanced Features
Show steps
Enhance your Tableau skills by following guided tutorials that demonstrate advanced features and techniques.
Show steps
- Identify areas where you can leverage Tableau's advanced features.
- Find and follow tutorials that cover specific advanced features.
- Apply the techniques you learn to your own data visualizations.
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