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Fundamentals of Data Mining

Data mining is looking for hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering unsuspected/ previously unknown relationships amongst the data. It is a multi-disciplinary skill that uses machine learning, statistics, AI and database technology. An ever-increasing volume of research and industry data is being collected on a […]

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Data mining is looking for hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering unsuspected/ previously unknown relationships amongst the data. It is a multi-disciplinary skill that uses machine learning, statistics, AI and database technology.

An ever-increasing volume of research and industry data is being collected on a daily basis. Skilled data scientists are needed to process and filter the data, to detect new patterns or anomalies within the data, and gain deeper insight from the data.

At the end of this course, learners should be able to:

  • Know more about Data Mining
  • Know the purposes and characteristics of Data Mining
  • Understand the Benefits or Advantages of Data Mining Techniques
  • Know the Limitations or Disadvantages of Data Mining Techniques
  • Know the kind of Data that can be mined
  • Have a depth of knowledge on Data Mining Applications.


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SECTION 1: UNDERSTANDING THE CONCEPT OF DATA MINING

1
Meaning of Data Mining
Self-paced
2
Purpose of Data Mining
Self-paced
3
Characteristics of Data Mining
Self-paced
4
Benefits or Advantages of Data Mining Techniques
Self-paced
5
Quiz
8 questions

SECTION 2: UNDERSTANDING THE APPLICATION OF DATA MINING

1
Limitations or Disadvantages of Data Mining Techniques
Self-paced
2
Performing Data Mining
Self-paced
3
The kind of Data that can be mined
Self-paced
4
Data Mining Applications
Self-paced
5
Conclusion
Self-paced
6
Quiz
8 questions
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