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Data Analysts

A Data Analyst is a specialist who uses information to provide insights. He is a person with
expertise. who collects data, clearness it, and analyses it so that improved business decisions can
be taken.
Data Mining Engineers

A Data Mining Engineer is someone who studies data not only for his/her own businesses but also
for the businesses of others. In addition to this, a data mining engineer develops robust algorithms
to aid in the subsequent analysis of the collected data.

Data Architects
Data Architects work closely with the users, system designers, and developers to provide a
blueprint for data management systems to be used in consolidating, integrating, and maintaining
the data sources.

Data Scientists

Data Scientists have the responsibility of handling large amounts of structured and unstructured
data. A data scientist is a person who gathers and analyses huge amounts of data. To handle data,
he/she needs to use different data storage, data cleaning, and data transformation methods. In the
profession of a data scientist, computer science and mathematics are all applied. He/She collects,
evaluates, and models data, and then interprets the outcomes in order to provide actionable
strategies for businesses and organisations.

Senior Data Scientists

Senior Data Scientists are responsible for anticipating the future demands of the organisation.
Despite the fact that they are not directly involved in data collection, they play an important part
in its analysis. Based on their extensive knowledge, they may establish and develop new
standards for assessing data.

Try It Out #Problem Solving

Complete the table given below. Find five software industries that are hiring in the field of data science
and discuss them with your teacher.
1. ________________________________________________________________________________
2. ________________________________________________________________________________
3. ________________________________________________________________________________
4. ________________________________________________________________________________

5. ________________________________________________________________________________

PURPOSE OF LEARNING THE DATA SCIENCE
Data science is a method for analysing, modelling, and deploying data to help organisations make
better decisions. This helps in visualising data that is understandable by business stakeholders in

order to create future frameworks and trends. Data science implementation is now a requirement
for any organisation trying to grow. Data science is useful in giving answers to the different types

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