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    R SCRIPTING LANGUAGE
                      R is a scripting language that is used for statistical computing and is widely incorporated in data
                      analysis modelling. It is an interpreter-based language and possesses the features of an object-
                      oriented programming language.

                      STRUCTURED QUERY LANGUAGE (SQL)

                      SQL is used for managing and querying data stored in databases. Extracting information from the
                      database is the first step towards data analysis. It is a flexible and dynamic language and is used
                      in extracting, managing and manipulating data.

                      PYTHON
                      Python is a widely-used language for data science and software development. It is an interpreter-
                      based  high-level language  which has gained  popularity  because  of its  ease  of use  and  code
                      readability.
                      It comes  with  many  packages  for deep  learning and is  hence  used  widely  for data  analysis

                      and  natural  language  processing.  Python  is  utilised  for purposes  like  data  mining,  wrangling,
                      visualisation, and developing predictive models.

                      HADOOP
                      Hadoop has become the most popular software framework for big data and it is a tool that helps
                      in regulating the storage of massive datasets.

                      TABLEAU
                      Tableau is an ideal data visualisation software that helps in analysing data which allows users to
                      create interactive visualisations and dashboards. It has the ability to connect with spreadsheets,
                      relational databases, and cloud platforms which enable it to process data directly.

                                AI AND DATA SCIENCE

                      AI has gained quite a lot of popularity these days. It is now being used in almost every technology

                      imaginable. The major components of AI include data, natural language processing and computer
                      vision. If you look closely, these are also based on data and its applications. For instance, computer
                      vision uses a lot of data to create datasets which in turn becomes the base of the AI system which
                      is capable of recognising any object in a given image. To create such an intelligent system, we
                      need a lot of data and to process all that data we need data science.  Hence, you can say that
                      Data Science and AI go hand in hand.

                             Hashtag

                           #No Poverty: Removing poverty in all forms is one of the greatest challenges faced by humanity
                           #Streaming: It refers to the real-time transmission of data on any social media platform

                      132   Premium Edition-VIII

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