Tableau for Web3 Business Intelligence

Tableau for Blockchain Data Analytics (4 Weeks)

 Module 1: Data Preparation and Exploration

Session 1: Course Overview & Introduction to Tableau

• Understand Tableau’s purpose and value in Web3 analytics.
  
  
• Learn how to connect blockchain data (via CSVs) to Tableau.
  
  
• Get familiar with Tableau’s interface and navigation tools.
  
  

Session 2: Data Cleaning and Structuring for Blockchain Analysis

• Clean and shape raw blockchain datasets for analysis.
  
  
• Use Tableau tools like Data Interpreter and Pivot.
  
  
• Create filters and extracts to streamline performance.
  
  

Session 3: Calculated Fields & Data Relationships in Blockchain

• Define custom metrics like wallet balance or gas fees.
  
  
• Use Calculated Fields and Level of Detail (LOD) expressions.
  
  
• Perform per-user or per-wallet metric calculations over time.
  
  

 Module 2: Advanced Visualizations and Parameters

Session 4: Advanced Visualizations in Blockchain Analytics

• Create multi-layered and custom visualizations for on-chain flows.
  
  
• Learn how to use dual-axis charts for comparing metrics.
  
  
• Represent token movement and distribution across wallets.
  
  

Session 5: Working with Parameters for Blockchain Dashboards

• Use parameters to build flexible, user-driven dashboards.
  
  
• Let users adjust thresholds (e.g., gas fees or token prices).
  
  
• Toggle views or metrics without rebuilding charts.
  
  

Session 6: Dashboard Actions & Interactive Features

• Add interactivity using filter actions, highlights, and tooltips.
  
  
• Enable user navigation and exploration of blockchain insights.
  
  
• Use parameter-driven actions to dynamically adjust visuals.
  
  

 Module 3: Predictive Analytics and Time Series Forecasting

Session 7: Predictive Analytics for Blockchain

• Apply Tableau’s trend lines and forecasting tools to crypto data.
  
  
• Predict transaction volumes, gas fees, or token prices.
  
  
• Visualize blockchain behavior over time using built-in models.
  
  

Session 8: Time Series Analysis in Blockchain Analytics

• Perform time-based forecasting on metrics like NFT sales or token flows.
  
  
• Explore seasonality and trends in on-chain activity.
  
  
• Build interactive time series charts for blockchain datasets.
  
  

Session 9: Advanced Calculations and Scenario Analysis

• Simulate “what-if” conditions (e.g., gas fee changes or usage spikes).
  
  
• Use advanced calculations to test different protocol scenarios.
  
  
• Help users model and prepare for on-chain risks or opportunities.