Learn how to analyse data using the various libraries in Python designed to crunch large amount of data. In particular, you will learn:
NumPy - an extension to the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays.
Pandas - a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Matplotlib - a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
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