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Data Science and Analytics

Category

Getting a data science job requires you to go through a number of steps and rounds. Even before you send your resume, you’re expected to learn a great deal. A great resume can help you turn your hours of learning into finally fulfilling the purpose of getting the job. It is important to have an apt resume to get your foot in the door and land an interview. Here are some mistakes to avoid in your data science resume to increase your chances of being shortlisted. Mistake 1: You don’t include links Resumes are not just a piece of paper anymore. Your entire online presence is a testimonial of your work as well. Make sure to include links to your LinkedIn, GitHub/ Kaggle, or any other profiles where you have showcased your work. It makes your work more visible and gives the employer a chance to evaluate it better. Bonus…

Skills needed to succeed at work

You might have heard of tech giants launching no-code or low-code tools, and AutoML platforms in the past few years. Could this mean that these tools will replace data scientists?