Python for Data Science: Panda, NumPy and Matplotlib


This a two-day course that provides an overview of how Python can be used in Data Science to manipulate, process, clean, and crunch data.

It is an introduction to scientific computing in Python focusing data-intensive applications. This course will review the essential Python libraries:

  • NumPy
  • Pandas
  • Matplotlib
  • IPython
  • SciPy

Students wanting use Python in data analytics applications.


It is recommended that students that are interested in this course have:  

  • Introductory Python course/s
  • Six months of Python programming experience.
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MIA: 305.648.2000

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