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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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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
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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
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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 was 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 deepen my understanding of data mining techniques and their applications. The course content was incredibly comprehensive, covering everything from data preprocessing to advanced mining methods. I particularly appreciated the hands-on exercises and case studies that allowed me to practice my skills and see the practical implications of the concepts. The course materials were top-notch, with engaging videos, readable notes, and relevant examples. I achieved my learning goals and then some - I can now confidently apply data mining techniques to real-world problems and communicate my findings effectively. Five stars isn't enough - I'd give it ten if I could!

AM
Arjun Mehta
IN · Course completed

I recently completed the '数据挖掘' course at Stanmore School of Business, and I must say it was a great experience. Coming from India, I was a bit skeptical about the relevance of the course to my local context, but I was pleasantly surprised. The course content was well-structured and easy to follow, with a good balance of theoretical foundations and practical applications. I appreciated the emphasis on data visualization and the use of popular tools like Tableau and Power BI. The course materials were of high quality, with clear explanations and relevant examples. My only suggestion would be to include more case studies from emerging markets like India. Overall, I'm satisfied with the course and would recommend it to anyone looking to gain a solid understanding of data mining concepts.

KR
Kai Rasmussen
DK · Course completed

Wow, just wow! The '数据挖掘' course at Stanmore School of Business was an absolute game-changer for me. As a data scientist from Denmark, I was looking to expand my skill set and stay up-to-date with the latest developments in the field. The course delivered on all fronts - the content was engaging, the instructors were knowledgeable, and the community was supportive. I loved the focus on practical applications and the use of real-world datasets to illustrate key concepts. The course materials were exceptional, with a great balance of depth and breadth. I gained a ton of new insights and skills, from clustering and decision trees to text mining and recommender systems. I'm so glad I took this course - it's been a wild ride, and I feel like I can tackle any data mining project that comes my way!

ND
Nalani da Silva
BR · Course completed

I took the '数据挖掘' course at Stanmore School of Business as part of my ongoing professional development as a business analyst in Brazil. I was looking to improve my data analysis skills and learn more about the latest tools and techniques in the field. The course was well-organized and easy to follow, with a clear structure and concise explanations. I appreciated the use of examples from various industries and domains, which helped to illustrate the concepts and make them more relatable. The course materials were of high quality, with a good balance of theory and practice. One area for improvement would be to include more discussions on the ethical implications of data mining and the importance of data privacy. Overall, I'm satisfied with the course and would recommend it to anyone looking to gain a solid foundation in data mining concepts and techniques.





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Recently updated!

May 2026