Free preview available
Columbus, United States · Study online with LSBA

数据挖掘

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3091 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Preprocessing

2

Data Visualization

3

Cluster Analysis

4

Decision Trees

5

Neural Networks

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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 absolutely thrilled with the 数据挖掘 course at Stanmore School of Business! As a data analyst from the United States, I was looking to upskill and stay ahead in my field. The course content was incredibly relevant and helped me achieve my learning goals by providing a comprehensive understanding of data mining techniques and tools. I particularly enjoyed the practical examples and case studies, which made it easy to apply the concepts to real-world scenarios. The course materials were top-notch, and I appreciated the flexibility of the online platform. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to boost their data analysis skills.

LH
Leila Hassan
EG · Course completed

I found the 数据挖掘 course to be quite informative and engaging. As a marketing professional from Egypt, I was interested in learning more about data-driven decision making. The course provided a solid foundation in data mining principles and algorithms, which I found useful in my work. I liked the fact that the course included a mix of theoretical and practical content, with plenty of opportunities to work on projects and assignments. The instructors were knowledgeable and responsive, and the online community was active and supportive. While I felt that some of the course materials could be improved, overall I was satisfied with the course and would recommend it to others looking to develop their data analysis skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 数据挖掘 course at Stanmore School of Business was an amazing experience! As a data scientist from Japan, I was blown away by the quality and relevance of the course content. The instructors were experts in their field, and the course materials were carefully curated to provide a comprehensive understanding of data mining techniques and tools. I loved the fact that the course included plenty of hands-on exercises and projects, which helped me develop practical skills and apply the concepts to real-world scenarios. The online platform was user-friendly, and the community was super supportive and engaging. I'm so glad I took this course, and I would highly recommend it to anyone looking to take their data analysis skills to the next level!

RS
Rafael 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 intelligence consultant in Brazil. I was looking to expand my skill set and stay up-to-date with the latest trends and techniques in data analysis. The course content was well-structured and easy to follow, with a good balance of theoretical and practical material. I appreciated the fact that the course included case studies and examples from different industries, which helped me see the practical applications of the concepts. The instructors were knowledgeable and available to answer questions, and the online platform was convenient and easy to use. While I felt that some of the course materials could be more detailed, overall I was satisfied with the course and would recommend it to others looking to develop their data analysis skills.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026