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What is data science artical

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What is data science artical

  1. 1. What is Data Science What is Data Science ? Data science is an integrative field that uses scientific methods, processes,algorithms and systems to extract, knowledge and awareness from data in various forms,both structured and unstructured, similar to data mining Data science is a “conceptto unify statistics, data analysis, machine learning and their related methods in order to “understand and analyse actual phenomena” With data Differentkinds of Data Science :-  Python  Artificial intelligence  R programming
  2. 2.  Deep learning  Machine learning  Text mining and Analytics  Data analytics How to work on Data Science ? Data science work flow is a non-linear, iterative process that involves asking questions,getting Data ,exploring data, modelling data, and communication Data. Their work through implementation and then test. The team Data science process provides alife cycle to structure the developmentof your data science projects.The lifecycle outlines the steps , from start to finish ,that projects usually follow when they are executed. Why do we need Data Science :- Data science helps humans make better decisions;either quicker decisions or better decisions .it can do more than that. Data science is not a new role, but the creation of a chief data scientist represents the enhance of executive capability for big data solutions. Data scientists are big data wranglers.
  3. 3. Purpose of Data Science :- In simple word is the purpose of data analytics is make bestout of waste. It is very important to first clearly understand for what purpose you are conducting the analysis. Data analysis is a processof applying statistical practice to organize, represent, describe,evaluate and interpret data. Importance of Data Science :- Data science is an combining field , it deals with processes and systems, that are used to extract knowledge or understanding from large amounts of data
  4. 4. It is an “idea to bind together measurements , information , examination , machine learning and their related strategies “ keeping in mind the end goal to “comprehend& break real miracle with data. It uses systems & hypothesis drawn from numerous fields inside the setting of arithmetic, insights, data science and software engineer. Benefits of Data Science :-  Data science deals with process & systems  It is used extract knowledge & insights, from large amounts of data  Data science is a tool that can be used to help reduce costs  It can find new markets & make better decisions  Data science techniques are great at spotting abnormalities. Optimization , constraint problems,predic and targeting.
  5. 5. “ withoutbig Data analytics, companiesare blind and deaf, Wandering outonto the web like deer on a free way”

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