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Data Science and Artificial Intelligence

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Master data pre-processing, analysis, and visualization techniques for actionable insights in data science projects
  • Develop predictive models using artificial intelligence algorithms for accurate forecasting and decision-making
  • Apply statistical methods and machine learning algorithms to solve real-world data problems effectively
  • Implement AI-driven solutions to automate data analysis and enhance predictive accuracy in diverse industries
  • Utilize data science tools and programming languages to extract, clean, and interpret complex datasets
  • Design and evaluate AI models to improve business outcomes and optimize operational efficiency

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Lessons | 7


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110 Reviews

Vishnu Balaji phad

Excellent
2026-02-19

Haris Hasni

the artifical intellegence is very difficult but sir will explain very easily thanku so much sir god give more sucess
2026-02-10

Mouaad Sadik

Good
2026-01-27

Antoine Carter

Excellent course on Data Science and ML.NET! Very informative and practical.
2026-01-25

T KOWSHIK

Excellent
2026-01-19

OMAR AL AZZAWI

good
2026-01-11

Hari Krishna D

wonderful
2025-12-29

Jamsheed Ali

lkjfdsa
2025-12-28

Faris Mohammad Abd

A very useful course in artificial intelligence and data analysis
2025-12-17

Priyadharshini

Good
2025-12-12

Qussai H Shah

I see.
2025-12-07

Iqrar Ahmad

very valuable
2025-12-06

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Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms.