Using Integrated Analytics in Tableau Desktop
This course will teach you how to use Tableau Desktop to create and analyze data visualizations, including reference lines, trend lines, forecast time series, and cluster analysis. Learn the statistics behind the features and gain the skills to effectively use integrated analytics. ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
Tableau Desktop is a popular data visualization and analysis tool. In this course, you'll learn how to create and use reference lines, trend lines, forecast time series, and use cluster analysis. You'll also learn the statistics behind the features.
At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of its integrated analytics features. In this course, Using Integrated Analytics in Tableau Desktop, you'll learn how to leverage each of these features to produce deeper, more insightful visualizations. First, you'll delve into statistics found in the worksheet summary card that form the foundation of data analysis. Next, you'll discover how to create reference lines, bands, box plots, and confidence intervals and when to use them. Finally, you'll explore advanced analytics including trend lines, forecasting, and clustering to unearth unseen relationships and predict future events. When you're finished with this course, you'll have the skills and knowledge of the integrated analytics features needed to utilize them in your own data analysis. Software required: Tableau Desktop.
Topics:
Course Overview
Using the Worksheet Summary Card
Adding Reference Lines to Charts
Adding and Using Advanced Statistical Tools
Adding Trend Lines and Forecasts to Charts
Generalizing with Advanced Analytics
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
Answer: By taking this course, learners will acquire skills and knowledge in creating reference lines, bands, box plots, and confidence intervals, as well as using advanced analytics techniques like trend lines, forecasting, and clustering. They will also gain an understanding of the statistics behind these features and how to apply them in data analysis. Additionally, learners will be able to uncover hidden patterns, trends, and relationships in their data, enabling better decision-making and more effective data-driven storytelling.
How does this course contribute to professional growth?
How does this course contribute to professional growth?
This course provides learners with the skills and knowledge to leverage the integrated analytics features of Tableau Desktop for data visualization and analysis. By understanding the statistics and analytics tools within Tableau, learners can uncover hidden patterns, trends, and relationships in their data, enabling better decision-making and more effective data-driven storytelling. This course can help professionals to gain deeper insights from their data and create more meaningful visualizations, which can contribute to their professional growth.
Is this course suitable for preparing further education?
Answer: This course is suitable for individuals who already have a basic understanding of Tableau Desktop and want to enhance their data analysis skills. It provides a comprehensive understanding of the statistics behind integrated analytics features and how to apply them in data analysis. After completing this course, learners can further explore advanced topics in Tableau, such as advanced calculations, data blending, and data preparation. Additionally, they may consider courses on data visualization best practices, dashboard design, and storytelling with data to enhance their data communication skills. To complement their knowledge of integrated analytics in Tableau, learners may consider taking courses on statistical analysis, machine learning, and programming languages such as Python or R, which can be integrated with Tableau for advanced analytics and modeling purposes.
Course Provider
Provider Pluralsight's Stats at AZClass
Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Tableau skills no matter in career or in further education. Even if you are only slightly interested, you can take Using Integrated Analytics in Tableau Desktop course with confidence!
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