Data Science Archives | Blog https://onclickinnovations.com/blog/tag/data-science/ Onclick Innovations Pvt. Ltd. Thu, 08 Dec 2016 13:17:57 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 208843066 Data Science & Data Scientists https://onclickinnovations.com/blog/data-science-data-scientists/ https://onclickinnovations.com/blog/data-science-data-scientists/#respond Thu, 08 Dec 2016 13:17:57 +0000 http://blog.onclickinnovations.com/?p=514 Data Science is a vast discipline in itself consisting of specialized skill sets such as statistics, Mathematics, Programming, Computer Science and so on. Data Science consists of several elements, techniques and theories including math, statistics, predictive analysis, data modeling, data engineering, data mining and visualization. The purpose of data scientists is to extract and interpret […]

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]]> Data Science is a vast discipline in itself consisting of specialized skill sets such as statistics, Mathematics, Programming, Computer Science and so on. Data Science consists of several elements, techniques and theories including math, statistics, predictive analysis, data modeling, data engineering, data mining and visualization. The purpose of data scientists is to extract and interpret data effectively and present it in a simple, no- technical language to the end users. Data Scientists are people with some mix of coding and statistical skills who work on making data useful in various ways. These professionals use their Statistical, mathematical, Machine Learning and Analytics skills to turn raw data into actionable insights. Data Science involves a very high level of data analysis. Data Scientists have a great business sense and they are very skilled decision makers. Hence, Data Science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, datamining, and predictive analytics.  Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science. It uses various techniques from many fields, including signal processing, mathematics, probability models, machine learning, computer programming, pattern recognition with the goal of extracting useful knowledge from the data.

 

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