Information Technology
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Web Scraping in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data science has always recognized the importance of tools that allow for the retrieval and analysis of information stored on the Internet. This course will show you how to navigate HTML code and create tools that automatically crawl websites. Although we will be using the Python library scrapy to scrape, many of these techniques can be used with other Python libraries like BeautifulSoup and Selenium. This course will give you a solid understanding of the html structure and the tools needed to access it. It is also possible to create simple scrapy spiders which can crawl the web on a large scale.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

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Intermediate Python

What You Will Learn

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Learn to retrieve and parse information from the internet using the Python library scrapy

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Upon the completion of this course, you will have a strong mental model of html structure, will be able to build tools to parse html code and access desired information, and create a simple scrapy spiders to crawl the web at scale

Course Instructors

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Thomas Laetsch

Data Scientist at New York University

Since January 2016, Thomas Laetsch has been a Moore-Sloan Post-Doctoral Associate in the Center for Data Science at NYU. In 2012, he received his PhD in mathematics from the University of California,...

Course Reviews

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