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Verified Information • Last Updated Mar 2026
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 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
Duration
4 Months
Institution
Coursera
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$68
Total Est. Investment
$68
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Scrape and analyze data analyst job requirements with Python program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.