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Data science is a vast subject that involves information technology, algorithms application, mathematics, data interference etc. It involved artificial intelligence which means process and use of the data in scientific ways to make best use of it. It makes use of various statistical models, algorithms etc.

Features of Data Science

Anyone studying data science must know and be aware about it's Key features or say main attributes that are attached to it and govern it overall:

• Data science is about learning the key source of data like from where and how the data comes, how we should manage and use the data and how to make it relevant for future use in the field of business and IT. This is very important that one must know from where their data or the information is coming that is how they will be able to better extract the same.
• To improvise organization competitive advantage and improvise on cost efficiencies the organizations patterns for data are studied as data mining for structured and unstructured data. Of-course this is crucial not to put effort on data not needed but to bring data in such a way that consumes less of a time and cost.
• It is a multidisciplinary field involving computer science, higher math and modeling techniques. It uses lot of techniques Like machine learning, cluster analysis hence a person must be on top of these disciplines and use the knowledge from these fields without any hassle and seamlessly.

Technologies Used in Data Science

The data science community makes use of three main technologies such as R, python, machine learning which we will understand below Machine learning is an application of artificial intelligence in which the systems learn from the experience instead of things being programmed into it. It provides with an ability to automatically learn and improvise from the experiences.

Python is a programming language of high level. It let's the programmers create simple and complex programs using this language, it's almost as like human speaking language. R is a programming language for predictive data analysis and visualization.

Data Science Skill Sets

There are certain Key areas of core areas of knowledge that a developing data scientist must focus and learn. Statistics is one of the subjects that involve learning of both theory and the practical statistical methods. Another is the programming which one should be hands on like python, R, SQL.

Data engineering and it's best practices. Then the main skill set which is communication which is about communicating the status, report, work to others. Of course a data scientists also work with other people as part of the project or a team goal and it is important for them to be able to share status, report out issues, handle meetings, grievances within. Communication involves decision making since there will be various alternatives for issues or status reports , they must be able to make relevant choice and communicate properly. Students of college can buy assignment online on data science subject from BookMyEssay site without plagiarism.

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