Scrape and analyze data analyst job requirements with Python

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Scrape and analyze data analyst job requirements with Python

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
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
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
Business Combinations and Acquisition Accounting
Coursera
Watch →