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Data Science Study material

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Data Science involves extracting meaningful insights from large and complex datasets through statistical analysis, machine learning, and programming. It encompasses data cleaning, exploration, and modeling to uncover patterns and trends. Data Scientists utilize various tools and techniques to make informed decisions and predictions, contributing to business intelligence and innovation. The field combines expertise in statistics, computer science, and domain knowledge to solve real-world problems. Effective communication of findings is crucial for translating data-driven insights into actionable solutions.

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FOUNDATION OF DATA SCIENCE
UNIT I
INTRODUCTION

Prepared by
Dr.R.Kanimozhi
AP-IT, AVCCE

, UNIT-I
Data Science: Benefits and uses – facets of
data - Data Science Process: Overview –
Defining research goals – Retrieving data –
Data preparation - Exploratory Data analysis –
Build the model– presenting findings and
building applications - Data Mining - Data
Warehousing – Basic Statistical descriptions of
Data

, Data Science
Data
• In computing, data is information that has
been translated into a form that is efficient for
movement or processing
Data Science
• Data science is an evolutionary extension of
statistics capable of dealing with the massive
amounts of data produced today. .

, 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.

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Uploaded on
January 3, 2024
Number of pages
80
Written in
2023/2024
Type
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Professor(s)
Dr.kanimozhi
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