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Course Outline

Introduction

Overview of Tableau and the TabPy API

Exploring Use Cases of TabPy for Data Scientists

Installing and Setting Up TabPy

Setting Up Tableau Desktop with Python

Configuring a TabPy Connection in Tableau

Passing Expressions to Python

Running Python Scripts in Tableau

Estimating the Probability of Customer Churn Using Logistic Regression

Obtaining Sentiment Scores for Product Reviews

Scoring User Behaviour Using a Predictive Model

Using Insights to Build an Efficient Conversion Funnel

Summary and Conclusion

Requirements

  • Programming experience with Python
 14 Hours

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