Mar 19, 5:00โโโ5:45โฏPM (UTC)
Welcome to week one of the Stockholm Tableau Bootcamp March - April 2024! Week One Online (March 19th, 6:00 PM - 6:45 PM CET)๐๐ธ๐ช Are you ready to transform your data into powerful and insightful visualizations? This immersive online program, delivered by the Stockholm Tableau User Group, will equip you with the essential skills to excel in Tableau.๐๐
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Join us for the first session of Week 1 in the Stockholm Tableau Bootcamp 2024! Led by data visualization expert Sowmya Ashok Kumar, this online session will equip you with the fundamentals of navigating the Tableau interface. Learn how to connect to data, utilize the data pane, and build your first visualizations.๐
Join Zoom Meeting
https://us06web.zoom.us/j/88556737472?pwd=ncAsj2AaX5nKy7jqflxEbyasqm5BTE.1
Meeting ID: 885 5673 7472
Passcode: TableauSUG
๐What you'll gain:
๐กConfidence in navigating the Tableau workspace
๐กUnderstanding of live vs. extract data connections
๐กSkills to leverage the data pane and metadata
๐กIntroduction to creating worksheets and dashboards
๐Take advantage of this opportunity to kickstart your data visualization journey with Tableau!
๐Throughout the boot camp, you'll have the opportunity to learn from top Tableau professionals globally, receive personalized mentorship, and engage in weekly sessions on key Tableau concepts and exam preparation strategies.
Modules Covered:
๐Module 1:
All About Tableau Interface
Understanding the Tableau Interface
Connecting to Data Sources
Difference between Live and Extract Data Connections
Utilization of Data Pane and Metadata
Creating Worksheets and Dashboards
๐Module 2:
Foundation of Tableau
Understanding Dimensions and Measures (Blue and Green Pills)
Differentiating Discrete and Continuous Values
Exploring Measure Values and Measure Names
Utilizing Aggregations with Dimensions and Measures
Understanding Granularity in Data
Organizing Data in Rows and Columns
๐Join us as we lay the groundwork for your Tableau journey, exploring the fundamental aspects of Tableau's interface and data manipulation techniques essential for effective data visualization.๐
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