Overview
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
Requirements
Basic Python and data analysis skills
Course Outline
Day 1
Data Analysis with pandas
- Using vectorized data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analyzing time series
Data visualisation
- Plotting diagrams with matplotlib
- Using matplotlib from within pandas
- Creating quality diagrams
- Visualizing data in Jupyter notebooks
- Other visualization libraries in Python
Day 2
Vectorizing Data in Numpy
- Creating Numpy arrays
- Common operations on matrices
- Using ufuncs
- Views and broadcasting on Numpy arrays
- Optimizing performance by avoiding loops
- Optimizing performance with cProfile
Other Python libraries for data analysis
- scikit-learn
- Scipy
- statsmodel
- RPy2