In this course, you’re a budding data scientist who has created a draft of your resume. You want to apply for data science jobs, but would like to find the jobs you have the best shot at so would like to optimize your resume for a better chance at getting one of these jobs. We will be using NLP and text analytics to search for the most relevant data science jobs from online job postings and optimize our resume for the job postings. The job post HTML pages have already been web-scraped, and we will be loading them into Python and processing the text data from there. The number of job postings that were collected is large (over one thousand), so we will need to process them with data science methods using Python. We will use text similarity methods to find the most similar job postings, and also to find key skills we’re missing from our resume. We’ll summarize our findings by printing out highlights of the text results, as well as displaying plots and word clouds of the data.