Short roadmap to learn Tableau 😄👇
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Getting Started:
- Download and install Tableau Public (free) or Tableau Desktop (trial version).
- Explore the Tableau interface to get familiar with its components.
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Data Connection:
- Learn to connect Tableau to your data sources like Excel, CSV, databases, or cloud services.
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Data Preparation:
- Understand how to clean and shape data in Tableau using the Data Source tab.
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Basic Visualization:
- Create simple visualizations like bar charts, line charts, and scatter plots.
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Calculations:
- Learn about calculated fields and basic functions for more complex data transformations.
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Dashboards and Stories:
- Explore creating interactive dashboards and stories to present your insights effectively.
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Advanced Visualizations:
- Dive into more advanced charts and graphs, such as heat maps, treemaps, and dual-axis charts.
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Advanced Calculations:
- Master advanced calculations, such as level of detail (LOD) expressions and table calculations.
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Mapping:
- Learn how to create maps and geospatial visualizations using Tableau's mapping features.
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Data Blending:
- Understand how to blend data from multiple sources for comprehensive analysis.
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Performance Optimization:
- Optimize the performance of your Tableau workbooks for larger datasets.
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Tableau Server (Optional):
- If needed, explore Tableau Server for collaboration and sharing.
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Online Resources:
- Utilize online tutorials, documentation, and forums to expand your knowledge.
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Practice:
- Work on real-world projects to apply what you've learned. Remember to practice and apply your knowledge as you progress through each stage.
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Certification (Optional):
- Consider pursuing Tableau certification for formal recognition of your skills.
Share with credits: https://t.me/dataanalysisresourcestp
Hope it helps :)
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