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Introduction to Data Science: Concepts and Applications, Study notes of Advanced Data Analysis

A concise introduction to data science, outlining its interdisciplinary nature and key applications. It highlights the importance of data science in driving data-driven decisions, powering advancements in ai and automation, and offering solutions to complex problems across various fields. The document emphasizes the role of computer science, mathematics, and domain expertise in extracting meaningful insights from data.

Typology: Study notes

2023/2024

Available from 03/06/2025

avaiya-priyank
avaiya-priyank 🇮🇳

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# Introduction to Data Science
## 1. What is Data Science?
Data Science is an interdisciplinary field that combines techniques from computer science,
mathematics, and domain expertise to extract meaningful insights from structured and unstructured
data. It involves using scientific methods, processes, algorithms, and systems to analyze vast
amounts of information and drive decision-making.
### Importance of Data Science:
- Helps businesses make data-driven decisions.
- Powers advancements in AI, automation, and predictive analytics.
- Offers solutions to complex problems in healthcare, finance, technology, and more.

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Introduction to Data Science

1. What is Data Science?

Data Science is an interdisciplinary field that combines techniques from computer science, mathematics, and domain expertise to extract meaningful insights from structured and unstructured data. It involves using scientific methods, processes, algorithms, and systems to analyze vast amounts of information and drive decision-making.

Importance of Data Science:

  • Helps businesses make data-driven decisions.
  • Powers advancements in AI, automation, and predictive analytics.
  • Offers solutions to complex problems in healthcare, finance, technology, and more.