Python is an easy to learn and powerful programming language that is used in many computer science areas.
This course covers the power and flexibility of NumPy, SciPy and Matplotlib when dealing with heavy mathematical, engineering or scientific problems. Using the Pandas library, Python provides fast, flexible, and expressive data structures designed to make working with data both easy and intuitive.
Explore the concise and expressive use of Python’s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting and other applications
Python is considered to be one of the most efficient programming languages for data analysis.
