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Data Mining for Data Science

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

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Lessons | 7

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Mohammad Mahdi

That was very helpful.
2025-10-21

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best course
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i completed the vdos but  no certificate
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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.