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    CATAGORIES OF DATA
                     Data is usually divided into different types based on how it looks and how it can be used. Different

                     categories of data are shown in given figures:

     We live in a world where everything is connected by data. Every time we watch a video, search for
     information online or even walk with a fitness tracker, data is being collected and used to make
     our experience smarter and faster.  Structured Data        Unstructured Data        Semi-structured Data

     From school reports to shopping apps, from Google Maps to hospitals—Data Science is everywhere.     Structured data: Structured data is highly organised and formatted to be easily searchable,
     Let’s explore how it all works.  typically in databases using rows and columns (e.g., SQL databases). It follows a predefined
                        schema, which makes it efficient for querying and analysis.
                         Unstructured  data: Unstructured  data  does  not  have a  predefined  format  or structure,
     WHAT IS DATA SCIENCE?  making it more difficult to search and analyse. It includes diverse data types like text, images,
                        audio, etc.
     Data Science is a field that involves extracting meaningful     Semi-structured  data: Semi-structured  data  contains  elements  of both  structured  and
     insights  and information from a large amount  of raw   unstructured data.
     data. It uses tools, techniques and algorithms to analyse
     and interpret data to help in decision-making, predictions   IMPORTANCE OF DATA IN THE DIGITAL WORLD
     and solving complex problems.  Data is the foundation  of all  modern technologies  and services ranging from personalised

     Data  Science  helps  us  to  find  patterns,  trends  and   recommendations to healthcare and smart homes.
     relationships in data.  Let us learn the importance of data in the Digital World:

                         Informed decisions: Businesses use data to understand customer preferences and improve
                        services.
     WHAT IS DATA?       Innovation and growth: Data helps in making new technologies or improving old ones.

     Data refers to raw facts or figures collected for analysis.     Efficiency: Data boosts productivity by streamlining processes.
     It can be in the form of numbers, images, text or sound.     Understanding the world: Data helps us spot patterns, like climate change or disease spread,
     To convert raw data into useful information, it needs to   leading to better solutions and preventive actions.
     be processed.
                     In the digital world, data powers everything from personal use to global decisions.
     Data processing  includes  cleaning, organising  and       Ask
     analysing data  so that  it  can be interpreted into                 AGENT
                                                           OrangeAI
     meaningful  information  and used  to  make  decisions     How does data from social media help companies understand customer preferences?
     or solve problems.
                              Study

                            SOURCE OF DATA
     In 2019, the total amount of data in the world was estimated to be 40 zettabytes.

                     Sources of data refer to the origins or places from where data is collected. Data can come from a
                     variety of channels, both digital and physical.

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                                                                                                         Data Science

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