Certificate Authentication

Day 1:

Basic Python and Data Analysis Skills Review

Introduction to 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

Data Analysis with Pandas

• Using vectorized data in pandas
• Data wrangling
• Sorting and filtering data
• Aggregate operations
• Analyzing time series

Data Visualization with Matplotlib

• Plotting diagrams with Matplotlib
• Using Matplotlib from within pandas
• Creating quality diagrams
• Visualizing data in Jupyter notebooks
• Other visualization libraries in Python

Day 2: 

Other Python Libraries for Data Analysis

• scikit-learn
• Scipy
• statsmodel
• RPy2

Summary and Next Steps