Course

Scrape and analyze data analyst job requirements with Python

Coursera Project Network

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 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
  • File input/output in Python
  • Web scraping techniques
  • Data cleaning, preprocessing, and visualization techniques
  • BeautifulSoup
  • Git
  • Jupyter Notebook

What You'll Learn:

  • Increase the efficiency of job vacancy sourcing
  • Improve the quality of job vacancy sourcing
  • Gain a competitive advantage

Certificate Available ✔

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Scrape and analyze data analyst job requirements with Python
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