Basic HTML Version

|  | Table of Contents |  | View Full Version

Page 123 - 2611_SmartGPT Pro V(5.0) C-8
P. 123

    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.

                                                                                   Introduction to SDGs and Data Science  121

| 118 119 120 121 122 123 124 125 126 127 128 |