how to  learn data science

Data science can be a daunting field. Many people will tell you that you cannot become a data scientist unless you have mastered statistics, linear algebra, calculus, programming, databases, distributed computing, machine learning, visualization, experimental design, clustering, deep learning, natural language processing, and other subjects. That is simply not the case. This workflow does not necessitate advanced mathematics, deep learning mastery, or any of the other skills listed above. However, it does necessitate knowledge of a programming language as well as the ability to work with data in that language. And, while mathematical fluency is required to excel in data…