Scrape and analyze data analyst job requirements with Python
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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
Syllabus
- Project
- In this 6-8 hour project, you'll use Python to perform Web Scraping on a Job Posting Site using Python and upload your results to your Coursera profile to showcase to potential employers.
Taught by
David Dalsveen
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