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شهادة في تحليل بيانات مشاريع الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

مبادئ تحليل بيانات الذكاء الاصطناعي المتقدم

2

تقنيات جمع البيانات الضخمة

3

تنظيف ومعالجة البيانات

4

تحليل إحصائي متقدم

5

نمذجة البيانات التنبؤية

6

التعلم العميق في تحليل البيانات

7

تحليل السلاسل الزمنية

8

تحليل الشبكات الاجتماعية

9

تقنيات استخراج الخصائص

10

تحليل نصوص اللغة الطبيعية

11

تحليل صور وفيديو

12

تقييم جودة البيانات

13

أخلاقيات البيانات والذكاء الاصطناعي

14

أدوات برمجة تحليل البيانات

15

تحليل بيانات المشاريع الفعلية

16

إدارة مخاطر البيانات

17

تصور البيانات المتقدم

18

تحليل الأداء وتحسين النماذج

19

تطبيقات الأعمال الذكية

20

تقرير وتوثيق النتائج

Career Path

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Key facts

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Why this course

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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
Open enrolment · Start today

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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.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I loved the relaxed vibe of this advanced AI data‑analysis course. It helped me finally nail down the skills I was missing – like cleaning messy time‑series data and creating interactive dashboards with Plotly. The hands‑on labs were straight‑forward, and the instructor’s anecdotes about real projects made the theory feel relevant. I used the new techniques on a personal hobby project, building a simple recommendation engine for my music collection, and it worked like a charm. The course material was spot‑on and the support was friendly, so overall I’m very satisfied.

MC
Michael Carter
US · Course completed

The ‘شهادة في تحليل بيانات مشاريع الذكاء الاصطناعي (متقدم)’ delivered exactly what I needed to meet my learning goals. The modules on advanced statistical modeling and TensorFlow pipelines gave me the confidence to lead our AI‑driven product line. I especially appreciated the real‑world case studies from the banking sector, which let me practice data preprocessing with Python and Pandas on actual project datasets. The course materials were clear, up‑to‑date, and the downloadable notebooks made it easy to replicate the examples. Overall, the experience was professional and highly valuable; I can now present a robust AI‑analytics framework to senior management.

AP
Ananya Patel
IN · Course completed

Wow! This course blew me away with its depth and practical focus. I set out to master AI project data pipelines, and the curriculum gave me exactly that – from mastering SQL‑based feature extraction to deploying TensorFlow models on Azure. The capstone project, where we built a predictive maintenance model for a manufacturing line, let me apply every concept in a real‑world scenario. The video lectures were crisp, the reading resources were current, and the community forum buzzed with insightful discussions. I’m thrilled with the new skill set and can already see a promotion on the horizon.

ZD
Zanele Dlamini
ZA · Course completed

The advanced AI data‑analysis certification was incredibly thorough and well‑structured. My primary goal was to deepen my understanding of multivariate statistical techniques for large‑scale AI projects, and the course delivered through detailed modules on PCA, clustering, and model validation. I particularly valued the extensive case studies on healthcare analytics, which allowed me to practice building end‑to‑end pipelines using Spark and PyTorch. The supplementary PDFs and code repositories were meticulously organized, making revision effortless. The overall learning experience was rigorous yet supportive, and I now have a polished portfolio piece that has already attracted interest from potential employers.





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Recently updated!

May 2026