Data and ML Job Titles Analysis Report
This post is a report of the LinkedIn data job market after first creating a dataset for LinkedIn job positings from 2023. Before any analysis on the job postings are conducted, it's helpful to analyze the trends in job titles first. My findings analyzing job titles are reported here.
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Text Processing and Visualization using Python: Analyze Data and ML Job Titles
This post follows our first post analyzing LinkedIn data job market by first cleaning and process the job postings. Before any analysis on the postings are conducted, it's helpful to analyze the trends in job titles first. In this blog, we try to analyze major demanded job titles and create some visualizations to tell stories about what we've found.
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Pan-fry Cabbage Recipe
My signiture Chinese pan-fry cabbage recipe.
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Data cleaning and transformation in Python: Analyze LinkedIn Job Postings
Data cleaning and transformation is usually the first step in the data analysis process. For each project's specific purpose, we might find data from multiple different data sources, in different formats, and need to be combined and cleaned so that later when we are analyzing, we have high quality data that is necessary for a good outcome.
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