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Learning Path: Python for Data

TIME TO COMPLETE:19h 9m
TOPICS:Python
PUBLICATION DATE:August 2015

Python is a rapidly growing and popular tool for data science. With a gentle learning curve, Python is readable, writeable, and endlessly powerful. Its simplicity lets you become productive quickly. This Learning Path provides a solid introduction to Python, and then teaches you about algorithms, data modeling, data structures, and other tools that make Python the ideal choice for working with data.

This learning path contains self assessments – short, multiple-choice quizzes that you'll take as you work through a Learning Path. They give you quick insights into how you're doing and take the guesswork out of learning.

What you'll learn—and how you can apply it

  • Understand Python fundamentals
  • How to implement them in the iPython notebook
  • How to use Python algorithms and data structures to solve problems

This Learning Path is for you because…

  • You're a data scientist who wants to learn or become more familiar with Python's capabilities for analysis and visualization
  • You're a Python developer who wants to learn about how to use what you know in data science

Prerequisites: none.

Materials or downloads needed in advance: Supplemental Content


About the Publisher

Presented in stunning HD quality, the Infinite Skills range of video based training provides a clear and concise way to learn computer applications and programming languages at your own speed. Delivered to your Desktop, iPad or iPhone, high quality training is never more than a click away.

To increase retention and provide an intuitive learning experience, Infinite Skills formats the training in easy to follow step-by-step lessons that build into a comprehensive learning resource, allowing even the most complex topics to be quickly mastered no matter what the user’s prior skill level.

The emphasis on all Infinite Skills products is delivering affordable, high quality training in a format that allows users to learn real life practical skills that are so important in today’s commercial environments.

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