Page 68 - KEC Khaitan C8.4 Flipbook
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Tick ( ) if you know this.
                       ▶   Big data refers is a term used for large dataset that is complex and is to be processed by
                          traditional data management techniques.
                       ▶   Different types of data include structured, unstructured, semi structured, etc.






                            ROLE OF DATA SCIENTIST

                  A data scientist is someone who uses
                  data  sets  to  create  a hypothesis  and
                  then works on the data set to analyse                      Subject: Application of Data Science
                  the data, interprets it and makes sense                    Companies like Netflix, Google, and Amazon
                  of it. A data scientist is responsible for                 are using data  science  to  develop  powerful
                  dealing  with  all types  of data.  He/she                 recommendation systems for their users.
                  uses  various  tools  and practises  to
                  recognise patterns within the data.



                                                                                                            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.



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