Data Science and AI Course Training - What to Expect?

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Data Science and AI Course Training What to
Expect?
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• Nobody has ever become a Data Scientist in just 2
  months, it just simply doesnt work that way.
• In fact, even a senior Data Scientist will get to
  learn unique things on an everyday basis because
  there will be something new in the field
  everyday.
• So how much of knowledge is enough for one to
  begin with Data Scientist? and how much time does
  it going to take? Let us discuss about all this
  in detail down below.

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• To become a Data Scientist

• It is not easy to become a Data Scientist but not
  even difficult too! it is like learning any other
  field but it demands ones absolute dedication
  and efforts.
• It generally takes 67 months of training for
  one to get ready for the field of Data Science,
  it is a multi disciplinary field containing
  various concepts wrapped together, it takes time
  to study all of them.
• Let us see what will one get to study in Data
  Science.
• To know more on Data Science Courses and AI
  courses in Bangalore please check out Learnbay.
• Python, R programming, SQL, Scala, Tensorflow,
  Matlab, tableau are the tools that are very
  necessary and concepts like Statistical approach
  and mathematical modeling are essentials of Data
  Science.

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• Statistics

• It is a Mathematical Science pertaining to data
  collection, analysis, interpretation and
  presentation.
• Statistics is used to process complex problems in
  the real world so that Data Scientists and
  Analysts can look for meaningful trends and
  changes in the Data.

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• Mathematics

• Linear Algebra, Calculus, Statistics and
  Probability, these are the important math
  concepts involved in aspects of Data Science.

• Python

• Python is a highly productive language with
  simple programming syntaxs and easy code
  readability, English like commands makes it
  easily understandable.

• R programming

• It is a free software environment for statistical
  computing, the graphics for statistical computing
  are supported by R foundation.
• With the help of this languages one could easily
  merge with Statistics oriented fields.

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• SQL

• SQL is the mainstream language that is used to
  access database because it can work with any
  database.
• It will help to store the data in an organised
  and logical manner, its statements are used for
  updating data on databases, or retrieving data
  from various databases.
• Oracle, Sybase, Microsoft, SQL server, all such
  uses SQL.
• Database is the main backbone for anything in the
  technical world, as data is the new fuel to the
  current generation, Database handlers are in high
  demand in every field that involves technology

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• TensorFlow

• It is mainly used for Classification, Perception,
  Understanding, Discovering, Prediction and
  Creation of Data.
• It is an open source AI library that uses data
  flow graphs to build models.
• It allows developers to create large-scale neural
  networks with various layers.
• These are the tools and concepts one must study
  to begin with Data Science.

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• The efficient way to study Data Science

• I recommend anyone to look out for a good course
  in Data Science, it is the best way to get the
  knowledge of the field.
• But again choosing a course has also became
  tricky now because there are many course of such
  in market making one confused in which course to
  select.
• A course of quality training and absolute
  assistance for a reachable price is offered by
  Learnbay, it provides Data Science Courses and AI
  courses in Bangalore.

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