Jupyter for Data Science [Video]

Jupyter for Data Science [Video]

Dan Toomey

Your one-stop guide to building an efficient data science pipeline using Jupyter.
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Video Description

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations.

This video course is a comprehensive guide to getting started with data science using the popular Jupyter Notebook. If you are familiar with Jupyter Notebook and want to learn how to use its capabilities to perform various data science tasks, this video course is for you! From data exploration to visualization, this course will take you every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The course also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks.

By the end of this course, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.

Style and Approach

This course is a perfect blend of concepts and practical examples and is very easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Jupyter features with every section.

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What You Will Learn

  • Understand why Jupyter Notebooks are a perfect fit for your data science tasks
  • Perform scientific computing and data analysis tasks with Jupyter
  • Interpret and explore different kinds of data visually with charts, histograms, and more
  • Extend SQL's capabilities with Jupyter Notebooks
  • Combine the power of R and Python 3 with Jupyter to create dynamic notebooks
  • Create interactive dashboards and dynamic presentations
  • Master the best coding practices and deploy your Jupyter Notebooks efficiently

Authors

Video Details

ISBN 139781789130799
Course Length3 hours
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