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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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

Meaning of Data Mining

Self-paced

Purpose of Data Mining

Self-paced

Characteristics of Data Mining

Self-paced

Benefits or Advantages of Data Mining Techniques

Self-paced

Quiz

8 questions

SECTION 2: UNDERSTANDING THE APPLICATION OF DATA MINING

Limitations or Disadvantages of Data Mining Techniques

Self-paced

Performing Data Mining

Self-paced

The kind of Data that can be mined

Self-paced

Data Mining Applications

Self-paced

Conclusion

Self-paced

Quiz

8 questions

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