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Scrape and analyze data analyst job requirements with Python

In this project, you’ll help a recruitment agency improve its job vacancy sourcing by using Python’s web-scraping capabilities to extract job postings from...

By David Dalsveen on Coursera

About This Course

In this project, you’ll help a recruitment agency improve its job vacancy sourcing by using Python’s web-scraping capabilities to extract job postings from multiple sites. This task will require you to write a Python script to extract job posting data from the source site and save it to a comma separated values (CSV) file. Your work will help the agency provide clients with with relevant job openings more quickly, giving them a competitive advantage over other applicants. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers. ROLE: Data Analyst SKILLS: Python PREREQUISITES: variables, data types, loops, functions, and file input/output in Python web scraping techniques data cleaning, preprocessing, and visualization techniques BeautifulSoup, Git, Jupyter Notebook

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How much does Scrape and analyze data analyst job requirements with Python cost?

Visit the Scrape and analyze data analyst job requirements with Python course page for current pricing and available discounts.

Who teaches Scrape and analyze data analyst job requirements with Python?

Scrape and analyze data analyst job requirements with Python is taught by David Dalsveen, Coursera.

What skill level is Scrape and analyze data analyst job requirements with Python for?

This course is designed for all levels learners.

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Students0
Duration8 hours
LevelAll Levels
Languageen
PlatformCoursera