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Statistics: For any aspiring data scientist, I would highly recommend   learning statistics with a heavy focus on coding up examples, preferably in Python or R. Mostly favorite series is the   Statistical Learning series. The SL Series is a   great primer on statistical modeling / machine learning with applications in R.(Reference by qoura.com) ·         Crucial component: Statistics is a crucial component of data science. At Twitch, The Professional data science team brings together three things: the first is statistics, second is  programming, and  third last is product knowledge. And we would never hire someone who wasn’t strong in stats. You can be a great programmer, but if you don’t know what Byes Rule is, then we have an engineering department I can point you to.” The origin in statistics is mostly undeniable. ·         Programming: Python:   Python is a mostly...

Data science , also known as   data-driven science , is an interdisciplinary field about scientific methods, processes and systems to extract   knowledge   or insights from   data   in various forms, either structured or unstructured,similar to   Knowledge Discovery in Databases   (KDD). Data science is a " concept to unify statistics, data analysis and their related methods " in order to "understand and analyze actual phenomena" with data.   It employs techniques and theories drawn from many fields within the broad areas of   mathematics,   statistics,   information science, and   computer science, in particular from the subdomains of   machine learning,   classification,   cluster analysis,   data mining,   databases, and   visualization. Turing award   winner   Jim Gray   imagined data science as a " fourth paradigm " of science (empirical,   theoretical, computationa...