“To err is human” is an age-old saying. But does the same apply to Data Scientists of the 21st century? It is a well-known fact that Data Scientists around the globe are in high demand since the last few years. They influence decision making that directly impacts the business. Thus the room for error is very narrow to nil in such scenarios. Ivy Professional School has trained 19000+ students over the last 13 years. We have closely observed Data Science beginners and identified some common mistakes they commit in their journey towards being a Data Scientist. In this article, we are going to elaborate on the top 6 mistakes every Data Science beginner makes and how can one avoid them. 1. Importance of Technical knowledge and Domain knowledge for Data Science Beginners- Being a Data Science expert is no easy task. A Data Scientist is supposed to have all related technical knowledge comprising of Mathematics, Statistics, Programming Languages, Machine Learning algorithms, etc. You can visit our article A Beginner’s guide to Data Science to know more about these. They are also required to show a good understanding of the domain to which their client belongs to. Aspirants who are Data […]
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