Introduction to Data Visualization Using Python

Python is now the top programming language for data analytics, outpacing R and SAS. Why this popularity? Python is open-source, simple to learn, scalable and flexible. It can handle large volumes of data and has extraordinary libraries for data science. Having Python skills is now pretty much a standard requirement for any data science role.

Join us for a live webinar and get a taste of Python’s power and ease-of-use. Long-time Python developer and instructor Mark Copley will demonstrate Python’s remarkable capabilities for ingesting, cleaning and visualizing large data sets. We will use popular tools from the Python environment, including NumPy, matplotlib, pandas and Jupyter notebooks, and apply them to data sets from real-world NOAA temperature and wind information.

About Mark Copley
For more than 20 years, Mark has been an independent instructor, developer and consultant specializing in Python, Perl and Ruby. He holds a MS in Computer Science from Brown University and a MS in Electrical Engineering from the University of Colorado-Colorado Springs.

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