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 on Tableau

Passing Expressions to Python

Running Python Scripts on Tableau

Estimating the Probability of Customer Churn Using Logistic Regression

Getting Sentiment Scores for Reviews of Products Sold

Scoring User Behavior using a Predictive Model

Using Findings to Create an Efficient Conversion Funnel

Summary and Conclusion

Requirements

  • Programming experience with Python
  14 Hours
 

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