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Teach Yourself Data Analytics in 30 Days

person icon David Clinton

Teach Yourself Data Analytics in 30 Days

Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projects

person icon David Clinton

ebook icon Bootstrap IT

language icon Language - English

updated on icon Updated on Oct, 2022

architecture icon Data Analytics,Python,Data Scientists

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This eBook includes

Formats : PDF (Read Only)

Pages : 130

ISBN : 978-1777721008

Language : English

About the Book

Book description

Would you like to learn how to extract useful insights from all the data around you without having to take years' worth of courses? College data science programs teach many valuable skills, but sometimes all you need is some quick and direct tools. Welcome to Teach Yourself Data Analytics in 30 Days. The book's curriculum is organized into eight data "stories." The stories are interesting on their own, but there's no doubt what they're really all about is Python data analytics.

Goals

You'll find everything you need to build your own basic data analytics skills, including:

  • Getting Python up and running on Jupyter Notebooks (or, if you prefer, JupyterLab)
  • Finding and cleaning data sources
  • Plotting your data
  • Using Python functions
  • Understanding results through domain knowledge and tools like regression lines
Teach Yourself Data Analytics in 30 Days

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Author Details

David Clinton

David Clinton

Linux System Administrator, AWS Solutions Architect, and Technology Content Provider: technology books and courseware

David Clinton is an AWS Solutions Architect and a Linux server administrator. He has written about and published training material (including books with Wiley/Sybex, Bootstrap IT, and Manning, and online courses on Pluralsight and Udemy) for many cutting edge technology subjects including Linux systems, Cloud Computing (in particular Amazon's AWS), container technologies like containers, data analytics, and DevOps tools. 

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