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Fundamentals of Data Mining

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Study Mode: Online
Enrolled: 9507 students
Course view: 27173
Duration: Self-Paced Learning
Lectures: 9
Course type: Short Courses
Certificate of Completion: FREE
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 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.

Course Curriculum

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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Fundamentals of Data Mining
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