October is in the books, and since sufficient time has passed in order to normalize the post-publication performance metric recording period, let's have a look at the top posts of the month. The top post of the month was 10 Cheat Sheets You Need To Ace Data Science Interview, a great curated collection of resources for learning, cramming, and referencing. The post includes cheat sheets on the topics of SQL, web scraping, statistics, data wrangling, data visualization, business intelligence, machine learning, deep learning, and natural language processing, as well as a series of "Super Cheat Sheets" covering numerous topics on their own. Rounding out the list of top 8 posts of the month are an especially competitive collection, with all resonating comparably strong with our readers this month. Congratulations to all writers that had an article place in the top posts, and we look forward to next month's contributions.

The list of 10 cheat sheets is for beginners, students, job seekers, and professionals. These are my favorite, and they are hand-picked so that you don't have to search for the best cheat sheet for every subcategory of data science. The cheat sheets are life savers. It has helped me multiple times when I was preparing for data science and machine learning interviews. It just took me 30 minutes to review all of the old but necessary concepts and prepare for any technocal question.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Recruiters are checking your online presence before contacting you about an interview.

Recruiters nowadays are checking your online presence before contacting you about an interview. They will look for your LinkedIn profile, GitHub, and Kaggle to figure out what value you will bring to their company. The hiring manager will also look for the latest blogs or projects you have worked on in the past to prepare interview questions so that they can test your intelligence (catherinescareercorner). Other than that, working on real-world projects will give you the required experience for the job, and with a few projects in your portfolio, you will make a good impression on the recruiter (data-flair). We will be learning new ways to crack your interviews and how creating a strong portfolio has helped me aced multiple interviews.

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