Dos and Don’ts of Preparation
Explore essential strategies for preparing effectively for data science interviews. Learn what practices to adopt, such as focusing on yourself, asking questions, investing time, and developing data thinking, as well as what to avoid like overextending on topics, losing confidence, and skipping prerequisites. This lesson helps you build a focused and confident preparation plan to improve your readiness for data science roles.
Let's review some things you should remember while preparing for interviews. Here are some dos and don'ts that should be considered during preparation.
Dos
Let's start discussing the dos first.
Ask questions: Scientific research on the brain says that an adult gets around 6,000 thoughts daily. Just imagine how many questions we get in our minds daily, how many we don't even get answers to, or how many we forget about. If you want to start your career in data science, you will have to find the answers to your questions so that you can answer employers' questions.
Focus on yourself: If you're studying anything, the first rule is to focus on yourself. Any e-learning company or institute that promises to help you learn data science will never make you a data scientist. They can ...