Data Science with Python Training

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• DATA SCIENCE WITH PYTHON 

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• The following topics will be covered in our
• DATA SCIENCE WITH PYTHON 
• Online Training

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Using Python to Control and Document Your Data
Science Processes

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

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Accessing and Preparing Data

• Acquiring Data with Python
• Loading from CSV files
• Accessing SQL databases
• Cleansing Data with Python
• Stripping out extraneous information
• Normalizing data
• Formatting data

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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

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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

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Machine Learning with scikit-learn

• Input 2D, samples, and features
• Pre-processing data
• Regression
• Classification
• Model selection

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