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1. Why To
Learn
Data
Science
01

2. CONTENT
Introduction
Need of Data science
Future Scope
Conclusion
02

3. 03
INTRODUCTION
What is Data Science
• Data science is the study of data to extract meaningful insights for business.
• It is a multidisciplinary approach that combines principles and practices from the
fields of mathematics, statistics, artificial intelligence, and computer engineering
to analyze large amounts of data.
• This analysis helps data scientists to ask and answer questions like what
happened, why it happened, what will happen, and what can be done with the
results.

4. 04
Need Of Data Science
• Data science is the study of data to extract meaningful insights for business.
• It is a multidisciplinary approach that combines principles and practices from the
fields of mathematics, statistics, artificial intelligence, and computer engineering
to analyze large amounts of data.
• This analysis helps data scientists to ask and answer questions like what
happened, why it happened, what will happen, and what can be done with the
results.

5. FUTURE SCOPE
1
08
3
2
4
Problem in
handling data
Never ending
growth of
data
Increased demand
of data science
Popularity
of machine learning

6. CONCLUSION
At the end of the article – the purpose of Data Science, we conclude that Data Scientists are
the backbone of data-intensive companies.
Through this, companies can make better decisions. Various companies have their own
requirements and use data accordingly. In the end, the goal of Data Scientist to make
businesses grow better.
With the decisions and insights provided, the companies can adopt appropriate strategies
and customize themselves for enhanced customer experience.
Still, if you have any questions related to the purpose of Data Science, ask freely through
comments. We will definitely get back to you.
06

7. 7
THANK
YOU!!
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