Data Show and Tell: Data Analysis for Fake Job Posts
Data Show and Tell: Data Analysis for Fake Job Posts
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 20m | 102 MB
Instructor: Ed Freitas
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 20m | 102 MB
Instructor: Ed Freitas
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.
Data Show and Tell: Data Analysis for Fake Job Posts
