Course Outline


  • Overview of Tableau
  • Fundamentals of Python, R, and SQL

Getting Started

  • Setting up the development environment
  • Understanding software integration

Data Analysis with Python

  • Python fundamentals and programming
  • Importing libraries and datasets
  • Wrangling data
  • Data normalization and formatting
  • Exploratory data analysis
  • Performing regression analysis
  • Model development and evaluation
  • Visualizing Data

Data Analysis with R

  • R fundamentals and programming
  • Preparing data
  • Classifying and working with data in R
  • Using functions
  • Visualizing Data

Data Analysis with SQL

  • Setting up the database
  • Connecting Python and SQL
  • Connecting R and SQL
  • SQL aggregations and joins
  • Querying the database
  • Manipulating data

Data Visualization Using Tableau

  • Tableau design principles for visualization
  • Creating dashboards, charts, and tables
  • Mapping techniques
  • Regressions in R and Tableau
  • Advanced analytics with R and Tableau
  • Practical examples and use cases


Summary and Next Steps


  • Hands-on experience with data analysis (e.g., using Excel)
  • General understanding of database concepts
  • No programming experience required


  • Data analysts
  35 Hours


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