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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 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
Testimonials (2)
The exchange, listening, and explanations
Romain LECREUX - Inetum
Course - Advanced Grafana
Machine Translated
Real world knowledge from someone in the industry