Course Outline

Advanced Analytics with R and Tableau for Government

Classifying Data

Clustering and Models

Core Programming and Syntax in R

Fundamentals of R

Introduction

Preparing the Development Environment for Government

Regressions in R and Tableau

Summary and Conclusion

  • Creating a regression model
  • Visualizing regressions
  • Predicting and comparing values
  • Installing and configuring R and RStudio for government use
  • Setting up Rserve for government systems
  • Moving data between R and Tableau in a secure environment
  • Preparing and cleaning data to meet government standards
  • Modeling and scripting in R for enhanced data analysis
  • Utilizing CRISP-DM methodology for government projects
  • Working with TDSP models for government applications
  • Summarizing data to support government decision-making
  • Variables in R programming
  • Loops for iterative processes
  • Conditional statements for logical operations
  • Understanding vectors in R
  • Functions and packages in R for government data analysis
  • Working with clustering algorithms for government datasets
  • Creating clusters to identify patterns
  • Visualizing clustered data for clear insights

Requirements

Audience

  • Data Scientists for government
  • Experience with Tableau
 14 Hours

Number of participants


Price per participant

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