Master Tableau for Data Analytics: Your Complete Step-by-Step Syllabus🔥

Ready to master Tableau for data analytics? This learning path covers all the essential skills & techniques to excel in data analytics with Tableau:

📊 Introduction to Tableau:

- Overview of Tableau & its importance in data analytics
- Differences between Tableau Desktop, Tableau Server & Tableau Public
- Navigating the Tableau interface

📊 Getting Started with Data in Tableau:

- Importing data from various sources (Excel, SQL, cloud platforms, etc.)
- Live vs. Extract data connections
- Data types & roles in Tableau
- Organizing & managing data sources

📊 Working with Data:

- Data transformation tools: split, pivot, group, create calculated fields, etc.
- Handling missing data
- Data blending & joining
- Level of Detail (LOD) expressions

📊 Visualization Techniques:

- Basic charts: bar, line, scatter, pie, etc.
- Advanced charts: waterfall, Pareto, treemap, histogram, etc.
- Time series analysis
- Geospatial analysis with maps
- Interactivity with dashboard actions, filters & parameters

📊 Dashboard & Story Design:

- Organizing & designing dashboards for user experience
- Best practices for visualization
- Storytelling with data
- Mobile dashboard design

📊 Advanced Tableau Features:

- Sets & combined sets
- Forecasting & trend lines
- Clustering & data modeling
- Reference lines & bands

📊 Publishing & Sharing:

- Publishing to Tableau Public, Server & Online
- Managing users & permissions
- Interacting with content on Tableau Server & Mobile

📊 Performance Optimization:

- Best practices for a speedy dashboard
- Aggregating data & optimizing extracts
- Efficient workbook design

📊 Tips and Tricks:

- Keyboard shortcuts
- Utilizing Tableau's community & resources
- Customizing Tableau's look & feel with style & formatting options

📊 Real-world Projects & Case Studies:

- Practice datasets & project scenarios
- Portfolio development

Best Resources to learn Tableau: https://topmate.io/analyst/890464

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