Course Outline

Introduction

Overview of Tableau and the TabPy API for government

Exploring Use Cases of TabPy for Data Scientists in Public Sector Analysis

Installing and Setting Up TabPy for Government Applications

Setting Up Tableau Desktop with Python for Enhanced Data Analysis

Configuring a TabPy Connection on Tableau for Government Workflows

Passing Expressions to Python for Government Data Processing

Running Python Scripts on Tableau for Government Data Projects

Estimating the Probability of Customer Churn Using Logistic Regression in Public Sector Contexts

Getting Sentiment Scores for Reviews of Products Sold by Government Agencies

Scoring User Behavior using a Predictive Model for Government Services

Using Findings to Create an Efficient Conversion Funnel for Government Programs

Summary and Conclusion

Requirements

  • Experience programming with Python for government applications
 14 Hours

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