The badge earner will demonstrates the skills specific to data analysis with python. They will have hands-on experience on following data analysis & visualization libraries in python
Numpy numerical data
(Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.)
Pandas for data analysis
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive.
Matplotlib for python plotting
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Seaborn for statistical plots
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Also work with Jupyter Notebooks.
Performing Exploratory Data Analysis (EDA) on a Dataset