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شهادة متقدمة في علم البيانات (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

مقدمة في علم البيانات المتقدم

2

إحصاءات حسابية متقدمة

3

تعلم آلي متعمق

4

معالجة اللغة الطبيعية المتقدمة

5

تحليل السلاسل الزمنية المتقدم

6

نمذجة البيانات الكبيرة

7

تحسين الخوارزميات وتقييم النماذج

8

تصور البيانات المتقدم

9

أنظمة التوصية المتقدمة

10

الشبكات العصبية العميقة

11

التعلم المعزز المتقدم

12

تحليل النصوص غير المهيكلة

13

استخراج الميزات المتقدم

14

الحوسبة السحابية للبيانات

15

أمن وخصوصية البيانات

16

أخلاقيات الذكاء الاصطناعي

17

تحليل الشبكات الاجتماعية

18

نمذجة القرارات المتقدمة

19

تطبيقات البيانات في الأعمال

20

مشروع نهائي في علم البيانات

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:

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  • Instant access to all course materials upon payment
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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
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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.

4.5
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

Loved the course! It helped me finally nail the statistical concepts I’d been struggling with. The module on Bayesian inference gave me practical skills I could use straight away at work – I even set up a Bayesian A/B testing framework for my marketing team. The videos were engaging and the case studies felt very relevant to the UK market. I’m happy with what I learned and would definitely recommend it to anyone looking to level up their data‑science game.

MC
Michael Carter
US · Course completed

The Advanced Data Science Certificate exceeded my expectations. The curriculum was perfectly aligned with my goal of transitioning into a senior analytics role. I especially appreciated the deep dive into TensorFlow for deep learning and the hands‑on project where we built a predictive maintenance model for a manufacturing client. The lecture notes and supplemental Jupyter notebooks were clear, up‑to‑date, and directly applicable to real‑world problems. Overall, the learning experience was seamless, and I now feel confident presenting complex models to stakeholders.

AP
Ananya Patel
IN · Course completed

What an enthusiastic journey! The course content was exactly what I needed to move from a junior analyst to a data‑science specialist. I loved the practical labs on PySpark for big data processing – I built a real‑time recommendation engine for an e‑commerce startup as part of the capstone project. The reading material was concise yet thorough, and the instructor’s feedback on assignments was prompt and insightful. I'm thrilled with the outcomes; I’ve already landed a new role that leverages the advanced skills I gained.

ZD
Zanele Dlamini
ZA · Course completed

The program was very detailed and well‑structured. It helped me achieve my learning goal of mastering end‑to‑end data pipelines. I particularly benefited from the sections on data cleaning with pandas and deploying models using Docker and AWS – I now routinely set up automated workflows for my consulting projects. The course materials, including the slide decks and code repositories, were high‑quality and kept pace with industry standards. My overall experience was highly satisfying, and I feel equipped to tackle complex data challenges.





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Recently updated!

May 2026