Python Data Science Toolbox (Part 2)

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Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
4 hours
Certificate
Available on completion
Course author
Hugo Bowne-Anderson

Description

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
In this second Python Data Science Toolbox course, you'll continue to build your Python data science skills. First, you'll learn about iterators, objects you have already encountered in the context of for loops. You'll then learn about list comprehensions, which are extremely handy tools for all data scientists working in Python. You'll end the course by working through a case study in which you'll apply all the techniques you learned in both parts of this course.

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