Those who are ready to understand the basics of Python Programming including defining functions, assigning variables, calling methods from objects, controlling the flow of a program and other basic tasks in python programming.
This course is also for those students that would want to use Python with the intent using it as a tool for data-intensive and computational science ie, use python in areas like statistics, linear algebra and data visualization.
This course is also meant to help Python users learn to use Python’s data science stacks-libraries such as IPython, Numpy(Numerical Computations ), Pandas(Data Analysis), Matplotlib(Data Visualization), Scikit-learn(Machine Learning), Keras(Deep Learning), Pytorch(Artificial Neural Networks) and related tools-to effectively store, manipulate and gain knowledge and insights from data.
Google