Data Show and Tell: Data Analysis for Fake Job Posts
Learn how to analyze job posts using Python to detect potentially fake listings. This course covers a practical project teaching data analysis, feature engineering, and rule-based classification skills to flag suspicious patterns effectively.
What you'll learn
Fake job postings are a growing challenge on online platforms, misleading job seekers and compromising trust. This course, Data Show and Tell: Data Analysis for Fake Job Posts, demonstrates how to tackle this issue using data analysis. You’ll learn how to extract meaningful features from job descriptions, apply rule-based logic to flag suspicious patterns, and visualize results to validate your findings.
By the end of this course, you’ll have built a functional system that identifies potentially fake job posts, showcasing how Python can be used to solve real-world problems and protect users from fraud.
Table of contents
About the author
Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He's designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He's a well-known specialist in the Enterprise Content Management market segment, specifically... more