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
SECTION 1: UNDERSTANDING THE CONCEPT OF DATA MINING
SECTION 2: UNDERSTANDING THE APPLICATION OF DATA MINING
Be the first to add a review.
Please, login to leave a review