• Over 37 lectures and 55.5 hours of content!
• Have an intermediate skill level of Python programming.
• Have a portfolio of various data analysis projects.
• Use the numpy library to create and manipulate arrays.

• Live project Software Testing Training Included.
• Use the pandas module with Python to create and structure data.
• Have a portfolio of various data analysis projects.
• Create data visualizations using.

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• Use the Jupyter Notebook Environment. JavaScript developer from scratch.
• Use the pandas module with Python to create and structure data.
• Have a portfolio of various data analysis projects.
• Create data visualizations using matplotlib and the seaborn.