Data Science is a new technology, which is basically used for apply critical analysis. It utilizes the potential and scope of Hadoop. It also helps fully in R programming and machine learning implementation. It is a blend of multiple technologies like data interface, algorithm. It helps to solve an analytical problem. Data Science provides a clear understanding of work in big data, analytical tool R. Also, it provide the analyses of big data. It gives a clear idea of understanding of data, transforming the data. Also, it helps in visualizing the data, exploratory analysis, understanding of null value. It used to impute the value with the help of different rules and logic.

1. Future Of Data Science
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2. Data Science
 Data Science is a prodigious pool of
data. Data Operations in data science
are also combinations of machine
learning and statistics.
 Advanced Machine Learning is the
key factor for a better future in data
science.
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3. Future Predictions of Data Science
 Many large enterprises are now
adopting machine learning, this
automation in various tasks in helping
the industries in preventing losses and
reaching the goals.
 Complex data can now be simplified
with the help of these machine
learning algorithms and can be
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4. Future Scope Of Data
Science
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5. Contribution of Machine Learning has
increased the future scope of data
science drastically in the following
ways:
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6. 1.Quantum Computing:
 By using this machine learning
algorithm time required to solve
complex problems has come down
significantly.
 This will boost many industries in
turning to data science in the mere
future.
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7. 2.Advancement in the search
results:
 With the assistance of machine
learning algorithms, Google is able to
generate more appropriate search
results based on the previous search.
 These are predicted to grow in the
future.
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8. 3.Code Free Operations
 With the help of machine learning
tools understanding complex
operations and functions has become
easy.
 These algorithms created a code-free
environment.
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