Ce que vous devez savoir avant
Vous commencez
Débute 4 June 2026 18:27
Se termine 4 June 2026
1 hour 14 minutes
Amélioration optionnelle disponible
Not Specified
Progressez à votre rythme
Paid Course
Amélioration optionnelle disponible
Aperçu
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.
Programme
- Introduction à Tableau
- Commencer avec Tableau
- Importation et préparation de données
- Visualisation de données de base
- Création de tableaux de bord interactifs
- Partager et publier votre travail
- Conclusion
Enseigné par
John David Ariansen
Matières
Data Science