DATA
SCIENCE
INTRODUCTION
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TABLE OF CONTENT
Data Science
Introduction
Data Science
Importance
Carrer growth
with AI & Data
Scinece
periquesties for
Data Science
DATA SCIENCE
INTRODUCTION
Extracting insights from data
through analysis and technology
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DATA
SCIENCE
IMPORTANCE
Data science is crucial for
making informed decisions
and uncovering valuable
insights from vast amounts
of data.
CARRER GROWTH
WITH AI & DATA
SCINECE
AI and data science offer tremendous career
growth opportunities due to their increasing
importance across industries. pursuing a career
in AI and data science offers not only
substantial growth prospects but also the
chance to work on cutting-edge technologies
that are shaping the future.
PRE-REQUITES OF
THE DATA SCIENCE
Foundational Knowledge
Programming Skills
Data Manipulation
Statistical Analysis
Machine Learning
Data Visualization
Domain Knowledge
Problem-Solving Skills
Continuous Learning
APPLICATIONS
OF DATA
SCIENCE
Business
Healthcare
Finance
E-commerce
Entertainment
APPLICATIONS
OF DATA
SCIENCE
Government
Manufacturing
Science and
Research
MACHINE LEARNING AND
ARTIFICIAL INTELLIGENCE
Machine Learning (ML) is a subset of AI that focuses on enabling machines
to learn patterns from data and make decisions or predictions without
explicit programming for each task. It involves training algorithms to
improve performance automatically through experience.
Artificial Intelligence (AI) is the broader concept of creating machines or
systems that can simulate human intelligence, enabling them to perform
tasks that typically require human cognition.
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