Course Outline

Advanced Analytics with R and Tableau for Government

Classifying Data for Government Operations

Clustering and Models for Government Analysis

Core Programming and Syntax in R for Government Applications

Fundamentals of R for Government Users

Introduction to Advanced Analytics for Government

Preparing the Development Environment for Government Use

Regressions in R and Tableau for Government Analysis

Summary and Conclusion for Government Practitioners

  • Creating a regression model for government datasets
  • Visualizing regressions for government reports
  • Predicting and comparing values in government contexts
  • Installing and configuring R and RStudio for government systems
  • Setting up Rserve for government applications
  • Moving data between R and Tableau for government projects
  • Preparing and cleaning data for government use
  • Modeling and scripting in R for government analyses
  • Using CRISP-DM for government data projects
  • Working with TDSP models for government initiatives
  • Summarizing data for government reports
  • Variables in R for government applications
  • Loops in R for government data processing
  • Conditional statements in R for government logic
  • Understanding vectors in R for government data structures
  • Functions and packages in R for government tasks
  • Working with clustering algorithms for government datasets
  • Creating clusters for government analysis
  • Visualizing clustered data for government presentations

Requirements

Audience
  • Data Scientists for government
  • Experience with Tableau
 14 Hours

Number of participants


Price per participant

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