Python for Data Analysis and Visualization

Have an intermediate skill level of Python programming. Use the Jupyter Notebook Environment. Use the numpy library to create and manipulate arrays. Use the pandas module with Python to create and structure data. Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets. Create data visualizations using matplotlib and the sea-born modules with python. Have a portfolio of various data analysis projects.