Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Scrape and analyze data analyst job requirements with Python

Coursera via Coursera

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
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

Reviews

3.4 rating at Coursera based on 16 ratings

Start your review of Scrape and analyze data analyst job requirements with Python

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.