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Scrape and analyze data analyst job requirements with Python
  • Level Professional
  • المدة 2 ساعات hours
  • الطبع بواسطة Coursera Project Network
  • Offered by

عن

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

الوحدات

Part 1: Overview

    • 3 Readings
Show info about module content

3 Readings

  • Getting Started
  • The Project Scenario
  • See Example Projects

Part 2: Build Your Project

    • 4 Readings
    • 1 Plugin
    • 1 Lab
Show info about module content

1 Labs

  • Option A: Using Coursera's Jupyter Notebook

4 Readings

  • Choose Your Platform
  • Option B: Working Off-Platform
  • Feeling stuck? Here are some helpful resources
  • Review Your Project Checklist

Part 3: Sharing with Employers

    • 1 Readings
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1 Readings

  • Learn how Coursera helps you showcase your work to employers

Auto Summary

Embark on an engaging journey to enhance your data analysis skills with the "Scrape and Analyze Data Analyst Job Requirements with Python" course, designed specifically for the IT & Computer Science domain. Led by expert instructors from Coursera, this intermediate-level project will empower you with the ability to leverage Python's web-scraping capabilities to benefit a recruitment agency. Throughout this 120-minute course, you'll learn to write Python scripts to extract job posting data from various websites and save it in CSV format. This valuable skill set will enable the agency to quickly identify relevant job openings, providing their clients with a competitive edge in the job market. You'll gain hands-on experience with essential Python skills, including variables, data types, loops, functions, and file I/O, as well as web scraping techniques using BeautifulSoup. Additionally, you'll delve into data cleaning, preprocessing, and visualization using tools like Git and Jupyter Notebook. Perfect for aspiring Data Analysts with some foundational Python knowledge, this course offers a unique opportunity to create standout projects that can catch the eye of potential employers. Best of all, it is available for free, making it an accessible addition to your learning journey. Join this course to elevate your data analysis proficiency and make a significant impact in the recruitment industry.

David Dalsveen
Instructor

David Dalsveen