代做IND5003 Data Analytics in LinkedIn Job Postings代写Processing

Data Analytics in LinkedIn Job Postings

1. Motivation

Since Industry 4.0 requires extensive knowledge from different fields, career opportunities related to our program are actually quite broad, including many cutting-edge and popular fields, such as finance, industrial production, and data science. As a result, I've developed a strong curiosity and interest in analyzing salary, benefits, and skill requirements for various positions in the current global job market. I hope to analyze publicly available datasets on Kaggle to understand the current job market and experiment with using AI models to provide career-related recommendations.

2. Dataset

l https://www.kaggle.com/datasets/arshkon/linkedin-job-postings/code

LinkedIn Job Postings (2023 - 2024)

l https://www.kaggle.com/datasets/joykimaiyo18/linkedin-data-jobs-dataset/data

LinkedIn Data Jobs Dataset

l https://www.kaggle.com/datasets/asaniczka/1-3m-linkedin-jobs-and-skills-2024

1.3M LinkedIn Jobs & Skills (2024)

These datasets provide large scale information on job postings, including job descriptions, required skills, salary ranges, company details, and whether remote work is permitted.

3. Excepted Outcomes

I hope to use several datasets of LinkedIn job postings, such as the one shown above, to conduct data mining and analyze salaries and skill requirements across different industries. This will involve data cleaning, skill extraction, and unsupervised analysis to summarize the overall labor market. After completing an analysis of most industries, I hope to select a dataset focused on data science jobs and analyze relevant information about these jobs, for example, whether they can work remotely. I think this project will allow me to compare overall industry trends, and provide a clearer understanding of the job market for data science jobs.