Course Outline

Introduction

Overview of Tableau and the TabPy API for government use

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

Installing and Setting Up TabPy for Government Applications

Setting Up Tableau Desktop with Python for Government Analysis

Configuring a TabPy Connection on Tableau for Enhanced Data Integration

Passing Expressions to Python for Advanced Analytical Capabilities

Running Python Scripts on Tableau for Robust Data Processing

Estimating the Probability of Customer Churn Using Logistic Regression in Government Services

Getting Sentiment Scores for Reviews of Products Sold by Government Agencies

Scoring User Behavior using a Predictive Model for Improved Public Service Delivery

Using Findings to Create an Efficient Conversion Funnel for Government Programs

Summary and Conclusion for Government Applications

Requirements

  • Programming expertise with Python for government applications
 14 Hours

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