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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?
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                            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:





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