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

تعدين البيانات

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2785 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 Mining Fundamentals

2

Data Preprocessing Techniques

3

Mining Frequent Patterns

4

Classification And Regression

5

Clustering And Association Rule Mining

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 thrilled to have taken the 'تعدين البيانات' course at Stanmore School of Business! As a data enthusiast from the United States, I was eager to dive into the world of 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 skills in data preprocessing, pattern discovery, and predictive modeling, which I've already applied to my work projects. The course content was engaging, and I appreciated the real-world examples that illustrated key concepts. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone interested in data mining.

CB
Camille Bernard
FR · Course completed

I found the 'تعدين البيانات' course to be a great introduction to the field of data mining. As a student from France, I was looking for a course that would provide a solid foundation in data analysis and machine learning, and this course delivered. The course materials were well-structured and easy to follow, and I appreciated the instructor's feedback on my assignments. One area for improvement could be the addition of more advanced topics, such as deep learning or natural language processing. Nevertheless, I'm happy with my learning experience and would recommend this course to those looking for a comprehensive introduction to data mining.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'تعدين البيانات' course at Stanmore School of Business was an incredible journey! As a data scientist from Japan, I was blown away by the instructor's passion and expertise in data mining. The course content was meticulously crafted, with a perfect balance of theory and practice. I gained hands-on experience with popular data mining tools and techniques, which I've already applied to my research projects. The course community was also very supportive, and I enjoyed collaborating with fellow students on group projects. Overall, I'm thoroughly satisfied with my learning experience and would give this course a big thumbs-up to anyone interested in data mining!

RK
Rahul Kapoor
IN · Course completed

I'm delighted to have completed the 'تعدين البيانات' course at Stanmore School of Business! As a working professional from India, I was looking for a course that would help me upskill in data mining, and this course fit the bill. The instructor's teaching style was clear and concise, and the course materials were relevant and up-to-date. I appreciated the emphasis on practical applications of data mining, such as customer segmentation and market basket analysis. One suggestion I have is to include more case studies from diverse industries, which would help students appreciate the versatility of data mining. Overall, I'm happy with my learning experience and would recommend this course to those looking to gain a solid understanding of data mining concepts and techniques.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026