Nex-G Innovations

Introduction and Setting Up Your Integrated Analysis Environment

• Integrated Analysis Environment
• IPython Shell
• Custom environment settings
• IPython Notebooks
• Script editor
• Packages: NumPy, SciPy, scikit-learn, Pandas, Matplotlib, etc.

Using Python to Control and Document Your Data Science Processes

• Data types and objects
• Loading packages, namespaces
• Reading and writing data
• Simple plotting
• Control flow
• Debugging
• Code profiling

Accessing and Preparing Data

• Loading from CSV files
• Accessing SQL databases
• Stripping out extraneous information
• Direct Test Mode
• Formatting data

Numerical Analysis, Data Exploration, and Data Visualization with NumPy Arrays & Matplotlib

• The NumPy array
• 2D plotting with Matplotlib
• N-dimensional array operations and manipulations
• Memory mapped files

Exploring Data with Pandas and scipy.stats

• Data manipulation with Pandas
• Statistical analysis with Pandas
• Time series analysis with Pandas
• Overview of statistical tools in scipy.stats

Machine Learning with scikit-learn

• Input: 2D, samples, and features
• Estimator, predictor, transformer interfaces
• Pre-processing data
• Regression
• Classification
• Model selection