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    PURE
                         The number of roles for data scientists has grown by 650% since 2012. About 11.5
                         Million jobs will be created by 2026 according to the U.S. Bureau of Labour Statistics.  FACT

                                SOLVING PROBLEMS WITH DATA SCIENCE

                      Big data is different from traditional business intelligence tools. It can work with different data

                      forms and it is designed to acquire, manage and analyse huge amounts of data at optimum
                      velocity and gain accurate insight.
                      Big data is not about analysing large amounts of data but ensuring that the data is reliable,
                      auditable, and authentic as well as providing the correct insight. There are two approaches to
                      advanced analytics using big data:

                      DESCRIPTIVE ANALYTICS

                      It is a technique of interpreting historical data to derive insights and patterns. It tells us what
                      happened  in the past.  Stock  analysis  is an example of  descriptive analytics  because  while
                      predicting stock data, the previous pattern is analysed and then that analysis is used to make a
                      prediction.

                      PREDICTIVE ANALYTICS

                      It uses machine learning to derive insights and predict possible outcomes. In artificial intelligence/
                      machine learning, the outcomes are probabilistic that basically help us predict what could happen.
                      Weather forecasting is an example of predictive analytics.

                              uiz    Bee       Which type of data is a combination of different types of data?
                                               _________________________________________________________________

                                TOOLS FOR DATA SCIENCE

                      Traditional  statistical  methodologies  are used  by  data  scientists  which form the backbone
                      of machine  learning algorithms.  Deep  learning algorithms  are also  used  to  generate  robust
                      predictions. The following tools and programming languages are used by data scientists to analyse

                      data and draw insights from it:

                      R SCRIPTING LANGUAGE
                      R is a scripting language that is used for statistical computing and is widely incorporated in data
                      analysis modelling.

                      120   Computer Science (V5.0)-VIII

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