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Duration 14 hours
Course Outline
Day 1:
Review of Basic Python and Data Analysis Skills
Introduction to NumPy
- Creating NumPy arrays
- Common operations on matrices
- Using ufuncs
- Views and broadcasting on NumPy arrays
- Optimising performance by avoiding loops
- Optimising performance with cProfile
Data Analysis with Pandas
- Using vectorised data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analysing time series
Data Visualisation with Matplotlib
- Plotting diagrams with Matplotlib
- Using Matplotlib from within pandas
- Creating quality diagrams
- Visualising data in Jupyter notebooks
- Other visualisation libraries in Python
Day 2:
Other Python Libraries for Data Analysis
- scikit-learn
- Scipy
- statsmodel
- RPy2
Summary and Next Steps
Requirements
- Basic Python and data analysis skills
Audience
- Python developer
- Data analysts
Testimonials (1)
Trainer develops training based on participant's pace
