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Web Scraping: Python Data Playbook

4.5

Learners: 2

Instructor: Ian Ozsvald

Duration: 2.00

This course provides an introduction to web scraping with Python, teaching how to use BeautifulSoup4 and Seaborn to extract data from a static web page and create a compelling graphical data story in a Jupyter Notebook. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free Trial

Provider:

Pluralsight

Certificate:

Paid Certification

Language:

English

Start Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

What skills and knowledge will you acquire during this course?
The skills and knowledge that will be acquired during this course include:
- Scrape data from a static web page using BeautifulSoup4
- Use the requests module for web scraping
- Create a trustworthy scraping module with unit tests
- Present scraped data graphically in a Jupyter Notebook

How does this course contribute to professional growth?
This course on Web Scraping: Python Data Playbook contributes to professional growth by providing the ability to scrape data from static web pages and present it graphically. Participants will learn how to use the requests module and BeautifulSoup4 to scrape data, and how to create a trustworthy scraping module with unit tests. Additionally, the course teaches how to transform data columns into a graphical story that can influence colleagues' opinions. By the end of the course, individuals will have acquired the skills and knowledge necessary to create visually appealing Jupyter Notebooks without relying on APIs.

Is this course suitable for preparing further education?
This course, titled "Web Scraping: Python Data Playbook," is suitable for preparing further education. It teaches the skills and knowledge required for scraping data from a static web page using BeautifulSoup4 and presenting it graphically in a Jupyter Notebook. The course covers topics such as scraping with the requests module, writing a reliable scraping module with unit tests, and transforming data columns into a compelling graphical story. By completing this course, learners will acquire the necessary skills to create visually appealing Jupyter Notebooks without relying on an API.

Course Provider

Provider Pluralsight's Stats at AZClass

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AZ Class hope that this free trial Pluralsight course can help your Python skills no matter in career or in further education. Even if you are only slightly interested, you can take Web Scraping: Python Data Playbook course with confidence!