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Attend this Jupyter Notebooks & Python for Data Science training course and learn about some of the most commonly used libraries that are part of the Anaconda distribution and then explore machine learning models with real datasets. You will also learn about creating reproducible data processing pipelines, visualizations, and prediction models, all with the goal of giving you the skills and exposure you’ll need for the real world.
Data Science is one of the fastest growing professions across all industries. Open source tools like Python have become increasingly popular, and when paired with Jupyter Notebooks, can provide a variety of data-science applications. Attend this one-day hands-on course and learn to leverage all that these powerful tools have to offer.
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When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.Introduction to Python Training Advanced Python: Best Practices and Design Patterns