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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
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
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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 recently completed the 数据挖掘 course at Stanmore School of Business, and I must say it was an incredible experience! The course content was highly relevant and helped me achieve my learning goals of gaining practical knowledge in data mining. I was particularly impressed with the quality of the course materials, which included real-world examples and case studies that made the concepts more tangible. One of the key skills I gained was the ability to apply data mining techniques to solve business problems, which I was able to apply in my current role. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to enhance their data mining skills.

LH
Leila Hassan
EG · Course completed

I took the 数据挖掘 course at Stanmore School of Business and found it to be a great introduction to the field of data mining. The course materials were well-structured and easy to follow, and the instructor was knowledgeable and responsive to questions. One of the things that I found particularly useful was the practical experience I gained through the course projects, which helped me to develop my skills in data preprocessing, pattern discovery, and data visualization. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and would recommend it to others looking to learn about data mining.

MC
Marcus Chen
CA · Course completed

Wow, just wow! The 数据挖掘 course at Stanmore School of Business was absolutely fantastic! I was blown away by the quality of the course materials and the expertise of the instructor. The course covered a wide range of topics, from data cleaning and preprocessing to advanced data mining techniques, and I felt like I gained a deep understanding of the subject matter. One of the things that really stood out to me was the emphasis on practical application - we worked on several real-world projects that helped me to develop my skills and build a portfolio of work that I can show to potential employers. Overall, I'm so glad I took this course and would highly recommend it to anyone looking to learn about data mining!

KN
Kaito Nakamura
JP · Course completed

I completed the 数据挖掘 course at Stanmore School of Business and found it to be a valuable learning experience. The course content was comprehensive and covered a wide range of topics related to data mining, including data warehousing, machine learning, and text mining. I was particularly impressed with the instructor's ability to explain complex concepts in a clear and concise manner, and the course materials were well-organized and easy to follow. One of the key takeaways for me was the importance of data quality and the need to carefully preprocess data before applying data mining techniques. Overall, I was satisfied with the course and would recommend it to others looking to learn about data mining, although I did feel that some of the topics could have been covered in more depth.





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Recently updated!

May 2026