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Tableau for Data Science: Advanced Techniques and Best Practices
Tableau has expanded from purely visualization to become a comprehensive analytics platform with built-in predictive modeling, clustering, and trend analysis capabilities. The platform combines native
statistical tools with R/Python integration, while emphasizing data quality, model validation, and interactive visualization.

Reasons to Read -- Learn:

  • how to leverage Tableau's eight different forecasting models based on exponential smoothing, enabling you to make data-driven predictions with 95% confidence intervals
  • step-by-step process of implementing advanced analytics in Tableau, from data preparation through model building to visualization, ensuring compliance with privacy regulations
  • specific techniques for data summarization in Tableau, including how to use box plots, confidence intervals, and clustering algorithms for identifying patterns and outliers in your data
  • publisher: @heaththapa
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