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Free Module

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  • Linux
  • SQL
  • Python
  • Git

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Analytics

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  • Artificail Intelligance
  • Data Science
  • Machine Learning
  • NN
  • Natural Language Proccessing
  • NLU
  • R
  • Python

Analytics is the scientific process of discovering and communicating the meaningful patterns which can be found in data.

It is concerned with turning raw data into insight for making better decisions. Analytics relies on the application of statistics, computer programming, and operations research in order to quantify and gain insight to the meanings of data. It is especially useful in areas which record a lot of data or information.

Analytics provides us with meaningful information which may otherwise be hidden from us within large quantities of data. It is something that any leader, manager or just about anyone can make use of especially in today’s data-driven word. Information has long been considered as a great weapon, and analytics is the forge that creates it. Analytics changes everything, not just in the world of business, but also in science, sports, health care and just about any field where vast amounts of data are collected.

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Big Data

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  • Haddop
  • Spark(PySpark)
  • DataBrick

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Cloud Computing

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  • AWS - Python(Devloper,SysOps,Arctitecture)
  • Azure - (Devloper,SysOps,Arctitecture)
  • GCP - (Devloper,SysOps,Arctitecture)

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DevXXX

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  • DevOps
  • CloudOps
  • SysOps
  • Development
  • Scripting (Python)

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