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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 1. Tick ( ) the correct option.
and natural language processing. Python is utilised for purposes like data mining, wrangling, a. Cite the data which is difficult to fit into any data models such as Word documents or emails.
visualisation, and developing predictive models. (i) Structured data (ii) Unstructured data
HADOOP (iii) Natural language data (iv) Machine-generated data
Hadoop has become the most popular software framework for big data and it is a tool that helps b. Which of the following best explains a role of AI in achieving SDG 13?
in regulating the storage of massive datasets.
(i) Analysing agricultural data (ii) Monitoring pollution levels
TABLEAU
(iii) Providing personalised education (iv) Ensuring clean water access
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, c. Choose the programming language which is widely used for statistical computing and modelling
relational databases, and cloud platforms which enable it to process data directly. in data analysis.
(i) Python (ii) Java
AI AND DATA SCIENCE (iii) R (iv) SQL
d. Identify the main objective of SDG 07.
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 (i) Ending hunger (ii) Providing quality healthcare
vision. If you look closely, these are also based on data and its applications. For instance, computer (iii) Ensuring access to clean energy (iv) Reducing inequalities
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 e. What does RDBMS stand for?
need a lot of data and to process all that data we need data science. Hence, you can say that (i) Relational Data Management System
Data Science and AI go hand in hand.
(ii) Relational Database Model System
Hashtag (iii) Relational Database Management System
(iv) Random Data Management System
#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
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