Data Science Vs Statistics Essay

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Data Science vs Statistics
Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. Data science is based on the collection, preparation, analysis, management, visualization and storage of large volumes of information. Data science in simple terms can be understood as having strong connections with databases including big data and computer science. A data scientist is an individual with adequate domain knowledge relevant to the question addressed.
Big data is closely integrated with data science and in fact, has evolved with
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• Data science is more oriented to the field of big data which seeks to provide insight information from huge volumes of complex data. On the other hand, statistics provides the methodology to collect, analyze and make conclusions from data.
• Data science use tools, techniques and principles to sift and categorize large data volumes of data into proper datasets or models. This is contrary to statistics which confines itself with tools such as frequency analysis, mean, median, variance analysis, correlation and regression, and so on, to name a few.
• Data science will investigate and inspect data to deduce factual, quantitative and statistical inference. This is opposed to statistics which focuses on analysis using standard techniques involving mathematical formulas and methods.
• A data scientist must have skill sets to analyze and simplify problems using complex datasets to figure out information, whereas a statistician will use the techniques of numeric and quantitative

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