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Course Outline

Course Overview

  • Tableau platform summary
  • Core concepts in Python, R, and SQL

Initial Configuration

  • Configuring the development workspace
  • Analyzing software interoperability

Data Analysis with Python

  • Python fundamentals and coding practices
  • Library installation and dataset ingestion
  • Data preprocessing techniques
  • Data standardization and formatting
  • Exploratory data analysis
  • Regression methodology
  • Model construction and validation
  • Data Visualization

Data Analysis with R

  • R fundamentals and scripting
  • Data preparation workflows
  • Data classification and manipulation in R
  • Function application
  • Data Visualization

Data Analysis with SQL

  • Database configuration
  • Integrating Python with SQL
  • Integrating R with SQL
  • SQL aggregation and join operations
  • Database querying procedures
  • Data manipulation techniques

Data Visualization Using Tableau

  • Visualization design principles for government
  • Dashboards, charts, and tabular reports
  • Geospatial mapping methods
  • Regression analysis in R and Tableau
  • Advanced analytics integration with R and Tableau
  • Operational case studies and applications

Issue Resolution

Course Summary and Future Directions

Requirements

  • Practical proficiency in data evaluation utilizing tools such as Microsoft Excel
  • Fundamental knowledge of database structures and principles
  • Programming skills are not a prerequisite

Target Audience

  • Information analysts
 35 Hours

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