CBSE Class 10th AI (Artificial Intelleigence) | 16. Concepts of Data Science by Abraham | Learn Smarter
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16. Concepts of Data Science

Data Science is a multidisciplinary field that focuses on extracting insights from data through various stages including collection, cleaning, analysis, visualization, and modeling. It plays a critical role in industries such as healthcare, finance, and e-commerce, while also linking closely with Artificial Intelligence and Machine Learning. The demand for Data Science professionals is growing, offering ample career opportunities for students skilled in mathematics, programming, and critical thinking.

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Sections

  • 16

    Chapter 16: Concepts Of Data Science

    This section introduces the fundamental concepts of Data Science, its importance in decision-making, and its interdisciplinary nature.

    Learning Practice

  • 16.1

    Introduction

    Data Science is a crucial field that leverages data to drive informed decision-making and problem-solving.

    Learning Practice

  • 16.2

    What Is Data Science?

    Data Science is a multidisciplinary field that enables informed decision-making using data analysis and interpretation.

    Learning Practice

  • 16.3

    Importance Of Data In The Modern World

    Data plays a crucial role in decision-making processes in today's digital economy.

    Learning Practice

  • 16.4

    Components Of Data Science

    Data Science encompasses various components, including data collection, cleaning, analysis, visualization, and modeling, which work together to transform raw data into meaningful insights.

    Learning Practice

  • 16.5

    Data Science Life Cycle

    The Data Science Life Cycle consists of five main stages that guide data scientists in solving problems using data effectively.

    Learning Practice

  • 16.6

    Types Of Data

    Data in Data Science can be categorized into structured, unstructured, and semi-structured types, each having unique characteristics and applications.

    Learning Practice

  • 16.7

    Data Visualization

    Data visualization converts raw data into visual formats like graphs and charts, making complex data easier to interpret.

    Learning Practice

  • 16.8

    Role Of Data Science In Ai And Ml

    Data Science is essential in developing AI and ML systems by utilizing data to build models and derive insights.

    Learning Practice

  • 16.9

    Career Opportunities In Data Science

    Data Science offers numerous career opportunities across various roles, emphasizing the importance of analytical skills and domain knowledge.

    Learning Practice

  • 16.10

    Summary

    Data Science integrates techniques from various fields to extract meaningful insights from data for effective decision-making.

    Learning Practice

References

Chapter_16_Conce.pdf

Class Notes

Memorization

What we have learnt

  • Data Science combines multi...
  • The data science life cycle...
  • Understanding different dat...

Final Test

Revision Tests