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

شَهادة مِهنيّة مُتقدمة في تعدين البيانات (Advanced)

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
1224 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

مقدمة في تعدين البيانات

2

استكشاف البيانات المتقدمة

3

التحليل الإحصائي المتقدم

4

تقنيات التعلم الآلي

5

نمذجة البيانات الكبيرة

6

خوارزميات التجميع المتقدمة

7

استخراج الأنماط المتكررة

8

معالجة النصوص الطبيعية

9

تحليل الشبكات الاجتماعية

10

تقييم جودة البيانات

11

تحسين أداء الخوارزمية

12

تطبيقات الذكاء الاصطناعي في التعدين

13

أمان وخصوصية البيانات

14

تصور البيانات المتقدم

15

أدوات وبرمجيات التعدين الحديثة

16

إدارة مشروعات تعدين البيانات

17

أخلاقيات استخراج البيانات

18

تحليل السلاسل الزمنية

19

تطبيقات التعدين في الأعمال

20

مشروع نهائي لتطبيقات التعدين

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 completed the 'شَهادة مِهنيّة مُتقدمة في تعدين البيانات' course at Stanmore School of Business! The course content was incredibly comprehensive, covering everything from data preprocessing to advanced machine learning algorithms. I was able to apply the knowledge I gained to a real-world project at my company, resulting in a 30% increase in data-driven insights. The course materials were top-notch, with interactive exercises and relevant case studies that made learning fun and engaging. I'm so grateful for the experience and would highly recommend it to anyone looking to advance their skills in data mining.

AS
Anna Schneider
DE · Course completed

I found the 'شَهادة مِهنيّة مُتقدمة في تعدين البيانات' course to be a solid addition to my professional development. As a data analyst, I was looking to expand my skill set and stay up-to-date with industry trends. The course delivered on its promises, providing a thorough overview of data mining techniques and their applications. I particularly appreciated the emphasis on practical skills, such as working with popular data mining tools and software. While some of the course materials could be improved, overall I was satisfied with the experience and would recommend it to colleagues looking to improve their data analysis capabilities.

KN
Kaito Nakamura
JP · Course completed

WOW, just wow! The 'شَهادة مِهنيّة مُتقدمة في تعدين البيانات' course at Stanmore School of Business was an absolute game-changer for me! I was blown away by the quality of the course materials, which were not only informative but also engaging and easy to follow. The instructors were knowledgeable and supportive, and the online community was active and helpful. I gained so much practical knowledge and skills from this course, from data visualization to predictive modeling. I've already started applying what I learned to my work, and I'm excited to see the impact it will have on my career. If you're interested in data mining, don't hesitate to enroll in this course – you won't regret it!

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the 'شَهادة مِهنيّة مُتقدمة في تعدين البيانات' course at Stanmore School of Business, and I must say it was a valuable learning experience. As a beginner in the field of data mining, I found the course to be well-structured and easy to follow. The course materials were comprehensive and covered a wide range of topics, from data preprocessing to clustering and classification. I appreciated the emphasis on practical skills, such as working with datasets and using data mining software. While some of the course content could be improved, overall I was satisfied with the experience and would recommend it to others looking to learn about data mining. One area for improvement could be the addition of more real-world examples and case studies to illustrate the concepts.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026