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

الشهادة المهنية في تعدين البيانات (متقدم) (Advanced)

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3047 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

Introduction To Data Mining

2

Data Preprocessing

3

Data Visualization

4

Clustering Algorithms

5

Decision Trees

6

Neural Networks

7

Regression Analysis

8

Association Rule Mining

9

Text Mining

10

Web Mining

11

Social Network Analysis

12

Recommendation Systems

13

Time Series Analysis

14

Data Mining With Big Data

15

Advanced Data Mining Techniques

16

Data Mining Applications

17

Data Warehousing

18

Olap And Data Mining

19

Data Mining With R

20

Data Mining With Python

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 recently completed the الشهادة المهنية في تعدين البيانات (متقدم) course at Stanmore School of Business, and I must say it was an incredible experience! The course content was comprehensive and well-structured, covering everything from data preprocessing to advanced machine learning techniques. I was able to apply the practical knowledge I gained to my current role as a data analyst, and I've already seen significant improvements in my work. The course materials were of high quality and relevance, and the instructor was knowledgeable and supportive. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their skills in data mining.

CB
Camille Bernard
FR · Course completed

I took the الشهادة المهنية في تعدين البيانات (متقدم) course at Stanmore School of Business, and I was pleasantly surprised by the depth of knowledge I gained. The course covered a wide range of topics, from data visualization to clustering algorithms, and the instructor provided plenty of examples and case studies to illustrate the concepts. I appreciated the flexibility of the course schedule, which allowed me to balance my work and study commitments. While 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 mining skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The الشهادة المهنية في تعدين البيانات (متقدم) course at Stanmore School of Business was absolutely amazing! I was blown away by the quality of the course materials and the expertise of the instructor. The course covered everything I needed to know to take my data mining skills to the next level, and I was able to apply the knowledge I gained to real-world projects. The instructor was always available to answer questions and provide feedback, and the online community was supportive and engaging. I'm so glad I took this course, and I would highly recommend it to anyone looking to develop their skills in data mining.

ZD
Zanele Dlamini
ZA · Course completed

I enrolled in the الشهادة المهنية في تعدين البيانات (متقدم) course at Stanmore School of Business with some skepticism, but I was pleasantly surprised by the experience. The course content was detailed and comprehensive, covering both the theoretical and practical aspects of data mining. I appreciated the emphasis on hands-on learning, with plenty of exercises and projects to work on. The instructor was knowledgeable and responsive, and the course materials were well-organized and easy to follow. While some of the course topics were challenging, I felt a sense of accomplishment when I completed the course, and I'm confident that I can apply the skills I gained to my future career.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026