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Data mining in data science development

Track :

Computer Science

Lessons no : 14

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Lessons | 14


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4.6
12 Reviews

Muhammad Farooq Ahmed Khan

Excellent 2025-02-15

Papisetty hemasri

Best learning platform 2025-01-23

MUKESH KUMAR

"This course provided valuable knowledge on the subject matter and helped me expand my understanding. However, some areas felt a bit disjointed and could be improved upon for a smoother learning experience. Overall, the course was engaging and offered useful insights, making it worth the time invested." 2025-01-22

SELVIANA AMELYA

I got a deep understanding of data science, about the concepts, techniques used for data science. I learned how AI influences data science, I learned to apply data science and got questions about data science machine learning. This course helped me develop the ability to analyze and extract valuable information from data. By mastering data mining, it will be easier to learn related fields such as machine learning, big data analysis, and artificial intelligence 2025-01-01

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Data mining in data science course, in this course designed to equip learners with the essential skills and knowledge needed to harness the power of data mining techniques in the realm of data science. Throughout this course, participants will delve into various data mining algorithms, methodologies, and tools used to extract valuable insights and patterns from large datasets. Topics covered include classification, clustering, association rule mining, anomaly detection, and more. Through practical demonstrations and hands-on exercises, students will gain proficiency in applying data mining techniques to real-world data science projects. By the end of the course, participants will be equipped with the expertise to effectively explore and analyze data, uncover hidden patterns, and make data-driven decisions. Let's embark on this journey of exploring Data Mining in Data Science and unlock the potential of data-driven insights.