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شهادة تنقيب البيانات المتقدمة (Advanced)

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Overview

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Learning outcomes

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Course content

1

مقدمة في تنقيب البيانات المتقدم

2

تقنيات التنقيب في البيانات الضخمة

3

تحليل السلاسل الزمنية

4

نمذجة البيانات غير المهيكلة

5

التعلم العميق في التنقيب

6

التحليل التنبؤي

7

التنقيب في الشبكات الاجتماعية

8

التحليل النصي واستخراج المعلومات

9

تقنيات التعزيز والتصنيف المتقدم

10

تحسين الخوارزميات

11

التنقيب في البيانات الجغرافية

12

أمان الخصوصية في تنقيب البيانات

13

تطبيقات الذكاء الاصطناعي في التنقيب

14

تحليل السلوكيات والأنماط

15

استخدام Spark في التنقيب

16

تحليل البيانات المتدفقة

17

التحليل المتعدد الأبعاد

18

تقييم جودة النماذج

19

مشروع نهائي

20

أدوات وتطبيقات عملية

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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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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

I signed up for this course to fill the gaps in my data‑science toolkit, and it delivered. The modules on feature engineering and model evaluation were spot‑on for what I needed at work. I walked away with a solid grasp of how to tune XGBoost models and how to interpret SHAP values – skills I applied straight away on a churn‑prediction project. The material was well‑structured, though I think a few more video demos would help. Still, the overall experience was very positive and I’d recommend it to anyone looking to upskill quickly.

MC
Michael Carter
US · Course completed

The Advanced Data Mining Certificate exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering predictive analytics for my marketing team. I especially appreciated the hands‑on labs on clustering with Python's scikit‑learn, which allowed me to build a customer segmentation model that we now use weekly. The lecture slides were clear, up‑to‑date, and the case studies from real businesses made the theory immediately applicable. Overall, the learning experience was smooth, the instructors were responsive, and I feel fully equipped to lead data‑driven projects at my company.

AP
Ananya Patel
IN · Course completed

What an enthusiastic and energising course! From day one, the instructors encouraged us to experiment with real datasets, and I learned how to clean messy CSV files using pandas and then build a time‑series forecasting model for sales data. The practical assignments were challenging but rewarding – I even presented my final project to a panel of industry experts and got a job interview as a result. The course materials were up‑to‑date, with recent research papers and clear code snippets. I’m thrilled with the knowledge I gained and feel ready to tackle complex data mining tasks.

ZD
Zanele Dlamini
ZA · Course completed

I approached this certificate with a professional mindset, aiming to enhance my analytics capabilities for the non‑profit sector. The detailed modules on text mining and sentiment analysis were particularly useful; I used the techniques to analyze donor feedback and identified key themes that improved our fundraising strategy. The course resources, including the comprehensive e‑book and the interactive notebooks, were of high quality and easy to follow. While the pacing was a bit fast for beginners, the overall learning experience was thorough and highly relevant to my career goals.





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Recently updated!

May 2026