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 Duration 14 hours

Course Outline

Day 1:

Review of Basic Python and Data Analysis Skills

Introduction to NumPy

  • Construction of NumPy arrays
  • Standard matrix operations
  • Application of ufuncs
  • Views and broadcasting techniques in NumPy arrays
  • Performance optimization through loop avoidance
  • Performance optimization using cProfile

Data Analysis with Pandas

  • Leveraging vectorized data in pandas
  • Data wrangling techniques
  • Data sorting and filtering
  • Aggregate operations
  • Time-series analysis

Data Visualization with Matplotlib

  • Creating diagrams with Matplotlib
  • Integrating Matplotlib within pandas
  • Producing high-quality visualizations
  • Data visualization in Jupyter notebooks
  • Exploring other Python visualization libraries

Day 2: 

Additional Python Libraries for Data Analysis

  • scikit-learn
  • Scipy
  • statsmodels
  • RPy2

Summary and Recommended Next Steps

Requirements

  • Fundamental Python and data analysis capabilities

Audience

  • Python Developers
  • Data Analysts

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