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Beginning data science with Python and Jupyter

Author: Chris Dalla Villa
Publisher: [Place of publication not identified] : Packt Publishing, 2018.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"Getting started with data science doesn't have to be an uphill battle. This step-by-step video course is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You’ll learn about some of the most commonly used libraries that are part of the Anaconda distribution,  Read more...
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Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Chris Dalla Villa
OCLC Number: 1076490700
Notes: Title from resource description page (Safari, viewed November 26, 2018).
Performer(s): Presenter, Chris Dalla Villa.
Description: 1 online resource (1 streaming video file (2 hr., 49 min., 1 sec.)) : digital, sound, color
Responsibility: Chris Dalla Villa.

Abstract:

"Getting started with data science doesn't have to be an uphill battle. This step-by-step video course is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You’ll 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 to give you the skills and exposure you need for the real world.We'll start with understanding the basics of Jupyter and its standard features. You'll be analyzing an example of a data analytics report. After analyzing a data analytics report, next step is to implement multiple classification algorithms. We’ll then show you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. Finish up by learning to visualize these data interactively."--Resource description page.

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