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Data Mining for Data Science

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Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Identify key data mining techniques for data science applications, including classification, clustering, and association rule mining
  • Apply data preprocessing and feature selection methods to improve data quality and analysis accuracy in data mining projects
  • Utilize popular data mining tools and software to extract meaningful insights from large datasets in real-world scenarios
  • Design and implement data mining workflows to uncover patterns, trends, and relationships for business decision-making
  • Evaluate the effectiveness of data mining models using metrics like accuracy, precision, and recall in data science projects
  • Integrate data mining results into data-driven strategies to enhance predictive analytics and business intelligence

How to Get The Certificate

  • You must have an account Register
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  • The Certificate is free !
Lessons | 7

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SAKTHI I 

Really helpful
2026-01-19

Mahesh Ganesh Tati 

Easy access to topic and understanding language
2026-01-13

OMAR AL AZZAWI 

good
2026-01-11

SOWMYA SHREE M 

yeah well explained and understandable
2026-01-01

Himanshirita Sharma 

very nice
2026-01-01

Mariyammal A 

Good
2025-12-17

Danish Ameer 

Too much
2025-12-14

Lakshmi Naga Mohitha Mutyala 

good
2025-12-05

Lumana Edwin 

good
2025-11-29

Siddhant Jadhav 

good experience
2025-11-26

Harine Harine 

Good
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Aisha 

Excellent
2025-11-19

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Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions.