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Course Outline

Day 1:

Review of Foundational Python and Data Analysis Competencies

Overview of NumPy Fundamentals

  • Construction of NumPy arrays
  • Standard matrix operations
  • Implementation of universal functions (ufuncs)
  • Leveraging views and broadcasting techniques
  • Enhancing efficiency through loop avoidance
  • Performance profiling using cProfile

Pandas for Data Analysis

  • Application of vectorized data structures
  • Data manipulation strategies
  • Data sorting and filtering methodologies
  • Execution of aggregate functions
  • Time series analysis techniques

Data Visualization with Matplotlib

  • Generation of plots via Matplotlib
  • Integration of Matplotlib within Pandas workflows
  • Development of publication-quality visualizations
  • In-notebook visualization within Jupyter environments
  • Survey of alternative Python visualization libraries

Day 2: 

Additional Python Libraries for Data Analysis

  • scikit-learn
  • Scipy
  • statsmodels
  • RPy2

Summary and Subsequent Actions for Government Applications

Requirements

  • Fundamental proficiency in Python programming and quantitative analysis methodologies

Target Audience for Government Professionals

  • Software engineers specializing in Python
  • Analytics professionals within the public sector
 14 Hours

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