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数据挖掘

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Overview

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Learning outcomes

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Course content

1

Data Preprocessing

2

Data Visualization

3

Cluster Analysis

4

Decision Trees

5

Neural Networks

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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Self-paced
Learn on your time
Certificate
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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm blown away by the '数据挖掘' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to elevate my skills in data mining, and this course exceeded my expectations. The instructor's expertise and the quality of the course materials were top-notch. I gained practical knowledge in applying data mining techniques to real-world problems, which has already helped me in my current role. The course content was engaging, and I appreciated the examples and case studies that illustrated key concepts. I achieved my learning goals and more, thanks to this fantastic course!

LH
Leila Hassan
EG · Course completed

I found the '数据挖掘' course to be a great introduction to the field of data mining. As a student from Egypt, I was interested in learning more about the practical applications of data mining, and this course delivered. The course materials were relevant and well-structured, and I appreciated the feedback from the instructor. One of the key skills I gained was the ability to analyze large datasets and identify patterns, which I've already applied in a project at work. Overall, I'm satisfied with the course, and I would recommend it to others looking to learn about data mining.

CS
Catarina Silva
BR · Course completed

Wow, what an amazing course! I'm so glad I took the '数据挖掘' course at Stanmore School of Business. As a Brazilian student, I was looking for a course that would help me develop my skills in data analysis, and this course was perfect. The instructor was knowledgeable and enthusiastic, and the course materials were excellent. I gained a deep understanding of data mining concepts and techniques, and I was able to apply them to a project I was working on. The course was challenging, but it was worth it - I feel like I've gained a new skillset that will help me in my future career. Obrigada, Stanmore School of Business, for offering such a fantastic course!

RJ
Rahul Jensen
DK · Course completed

I recently completed the '数据挖掘' course at Stanmore School of Business, and I must say that it was a valuable learning experience. As a student from Denmark, I was interested in learning more about the technical aspects of data mining, and this course provided a detailed overview of the subject. The course materials were comprehensive and well-organized, and I appreciated the opportunity to work on practical exercises and projects. One of the key takeaways for me was the importance of data preprocessing and feature selection in data mining. Overall, I'm satisfied with the course, and I would recommend it to others looking to learn about data mining. However, I did find some of the topics to be a bit dry at times, which is why I didn't give it a full 5 stars.





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Recently updated!

May 2026