Was Sie vorher wissen sollten
bevor Sie beginnen
Beginnt 4 June 2026 18:48
Endet 4 June 2026
1 hour 14 minutes
Optionales Upgrade verfügbar
Not Specified
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Paid Course
Optionales Upgrade verfügbar
Übersicht
Unleash the Power of Data Visualization to Grow Your Career What you'll learn:
TableauData VisualizationData AnalysisAdvanced ExcelReporting InfrastructureConnect to Data in TableauBuild VisualizationsBuild Interactive DashboardThe difference between Excel and TableauBar ChartsLine GraphsKPI ChartsJoin Data Are you looking to break out of Excel and grow your career?Demand for Tableau Skills is Up 1,581%... it's time you learn this skill as an analyst!In this course you will learn:
The difference between Excel and TableauHow to transition from an Excel based Analyst into a Tableau DeveloperHow to connect Tableau to ExcelHow to join, union and blend data sourcesHow to build visualizationsHow to build interactive dashboardsHow to build a reporting infrastructureBuild a Reporting InfrastructureIn this course you will learn how to build infrastructure around reporting. This approach to analysis will help you scale your ability to communicate to your clients, boss or business owner.
Instead of creating manual ad hoc reports like most Excel users, you will learn how to create interactive dashboards that will empower your end user to quickly see the analysis they need. Content and OverviewThis course is designed for those analysts who are fairly experienced with Excel and will provide a path forward towards more potent analysis through Data Visualization.
We will walk through 2 case studies together. The first case study is designed to get your comfortable with Tableau then, in the second case study, we will move on to a real world use case where you will get to see the potency of Tableau.
Lehrplan
- Introduction to Tableau
- Getting Started with Tableau
- Importing and Preparing Data
- Basic Data Visualization
- Building Interactive Dashboards
- Sharing and Publishing Your Work
- Conclusion
Unterrichtet von
John David Ariansen
Fachgebiete
Data Science