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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 enhance my skills in data mining, and this course exceeded my expectations. The instructor's ability to break down complex concepts into understandable pieces was impressive. I gained practical knowledge in using machine learning algorithms for predictive modeling and was able to apply these skills to a project at work, resulting in a significant improvement in our forecasting accuracy. The course materials were top-notch, with relevant case studies and exercises that made learning fun and engaging. Overall, my experience was outstanding, and I highly recommend this course to anyone interested in data mining.

LH
Leila Hassan
EG · Course completed

I found the '数据挖掘' course to be quite informative and helpful in achieving my learning goals. The course content was well-structured, and the instructor did a good job of explaining the concepts. I appreciated the focus on practical applications of data mining techniques, such as clustering and decision trees. The course materials were of good quality, although I felt that some of the examples could have been more relevant to my region. Nevertheless, I was able to gain a solid understanding of data mining principles and apply them to a project, which was a great learning experience. Overall, I'm satisfied with the course and would recommend it to others interested in data analysis.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The '数据挖掘' course at Stanmore School of Business was an incredible journey! I was amazed by the depth of knowledge and the engaging way the instructor presented the material. I gained so much from this course, especially in terms of understanding how to work with large datasets and applying data mining techniques to real-world problems. The course materials were excellent, with plenty of opportunities for hands-on practice and feedback from the instructor. I was able to apply the skills I learned to a personal project, and the results were astonishing! I'm so grateful for this course and would highly recommend it to anyone looking to boost their data mining skills.

RS
Rafaela Silva
BR · Course completed

I took the '数据挖掘' course at Stanmore School of Business, and it was a great experience. The course content was comprehensive, covering a wide range of topics in data mining, from data preprocessing to model evaluation. I appreciated the emphasis on practical skills, such as using Python libraries for data analysis and visualization. The instructor was knowledgeable and provided helpful feedback on assignments. The course materials were well-organized, although some of the videos could have been more concise. Overall, I'm happy with what I learned, and I feel more confident in my ability to work with data. I would recommend this course to others who want to improve their data mining skills, especially those with a background in computer science or statistics.





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Recently updated!

May 2026