Data science involves collecting, processing, and analyzing data to derive insights and support informed decision-making. It plays a crucial role in various industries, especially as the demand for data has surged during the fourth industrial revolution. With significant growth predicted in the analytics industry, becoming a data scientist is increasingly important and offers valuable career opportunities.

1. HOW IS DATA
SCIENCE CHANGING
THE WORLD?

2. The term "Data Science" refers to the collection, purging, processing, and analysis of data
sets as well as the dissemination of the findings to interested parties. You will be surprised
to know how data science can enable us to gain exceptional insights into how objects
function and how people act using data. It can offer unexpected insights into almost
everything, such as speech patterns and psychological qualities.

3. Purpose of Data Science
Finding patterns in data is the main goal of data science. It analyses the data and derives
insights using a variety of statistical techniques. A data scientist must carefully examine the
data after data extraction, wrangling, and pre-processing. The next step is for him to use the
data to make predictions and help businesses make wiser business decisions by using the
findings to support them. The Indian analytics industry is predicted to escalate to USD 98
billion in 2025 and nearly USD 119 billion in 2026, so become a Data Scientist today with an
MBA in Data Science or a Diploma in Data Science.

4. Why Data Matters
Data is the new electricity. We are living in the age of the fourth industrial revolution. This is the
era of Artificial Intelligence and Big Data. There is a massive data explosion that has resulted in
the culmination of new technologies and smarter products. Around 2.5 exabytes of Data is
created each day. The need for data has risen tremendously in the last decade, which is why
necessary more than ever to take a step towards Data Science. Many companies have centered
their business on data. Data has created new sectors in the IT industry.

5. Although the IT industry has existed since a long time, the information and knowledge
on Data Science as a course is a relatively new concept. The fields of computer science
and statistics converged with the development of computing infrastructure, cloud
storage, and analytical tools. And as a result, data science was established.

6. Why is Data Science Important?
Data works like magic. Industries require data to aid in making informed decisions. Data
science transforms unstructured data into valuable insights. The industry, therefore, requires
data science. A data scientist is a magician who understands how to work with data to make
magic. You too can become a data scientist with a Data Science certification. Any data that he
comes across can be mined for useful information by a qualified data scientist. He directs the
business in the appropriate path and solves corporate difficulties using his analytical acumen.

7. Data scientists are tasked with identifying patterns in data and are skilled problem solvers. He
wants to identify redundant samples and learn from them. A range of tools are needed for data
science in order to extract information from the data. The gathering, archiving, and
maintenance of structured and unstructured data are within the purview of a data scientist.
Data management and analysis are at the core of the data scientist's job, but it also depends on
the industry the organisation specialises in. For this, the data scientist needs to be
knowledgeable about that specific sector of business. Edology would be the ideal platform to
give a kickstart to your journey as a data scientist.

8. THANK YOU
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