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 Duration 14 hours

Course Outline

Day 1:

Review of Fundamental Python and Data Analysis Competencies

Foundations of NumPy

  • Initialization of NumPy arrays
  • Standard matrix operations
  • Application of ufuncs
  • Utilization of views and broadcasting techniques
  • Performance enhancement through loop avoidance
  • Performance optimization via cProfile

Data Analysis Utilizing Pandas

  • Implementation of vectorized data structures in pandas
  • Data wrangling processes
  • Sorting and filtering methodologies
  • Execution of aggregate operations
  • Time series analysis

Data Visualization Using Matplotlib

  • Generation of diagrams with Matplotlib
  • Integration of Matplotlib within pandas workflows
  • Production of high-quality diagrams
  • Data visualization within Jupyter notebooks
  • Exploration of alternative Python visualization libraries

Day 2: 

Supplementary Python Libraries for Data Analysis

  • scikit-learn
  • Scipy
  • statsmodel
  • RPy2

Summary and Recommended Next Steps

Requirements

  • Foundational knowledge of Python and data analysis

Target Audience

  • Python developers
  • Data analysts

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