Tag: Data Science Libraries

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