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شَهادة ماستركلاس في عِلم البيانات (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Unit One

2

Unit Two

3

Unit Three

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Unit Four

5

Unit Five

6

Unit Six

7

Unit Seven

8

Unit Eight

9

Unit Nine

10

Unit Ten

11

Data Mining

12

Data Visualization

13

Machine Learning

14

Deep Learning

15

Data Preprocessing

16

Data Analysis

17

Data Science Fundamentals

18

Advanced Statistics

19

Data Engineering

20

Neural Networks

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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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
Ready when you are
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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.

4.5
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 just completed the شَهادة ماستركلاس في عِلم البيانات (متقدم) course at Stanmore School of Business and I'm blown away by the quality of the content! As a data enthusiast from the United States, I was looking to advance my skills in data science and this course delivered. The instructors were top-notch, and the materials were relevant and up-to-date. I particularly enjoyed the hands-on exercises and real-world examples that helped me understand complex concepts like machine learning and data visualization. The course helped me achieve my learning goals by providing a comprehensive understanding of data science principles and practices. I'm now confident in my ability to analyze and interpret complex data sets, and I've already started applying my new skills in my current role. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in data science.

LR
Luisa Rodriguez
BR · Course completed

I took the شَهادة ماستركلاس في عِلم البيانات (متقدم) course at Stanmore School of Business and it was a great experience! As a working professional in Brazil, I was looking to improve my data analysis skills and this course helped me achieve that goal. The course materials were well-structured and easy to follow, and the instructors were knowledgeable and responsive. I appreciated the focus on practical applications and the use of real-world examples to illustrate key concepts. One of the most valuable skills I gained was the ability to work with large datasets and perform advanced data visualization using tools like Tableau and Power BI. While I felt that some of the topics could have been covered in more depth, overall I was satisfied with the course and would recommend it to others looking to improve their data analysis skills.

RA
Raj Anand
SG · Course completed

Wow, just wow! The شَهادة ماستركلاس في عِلم البيانات (متقدم) course at Stanmore School of Business was absolutely amazing! As a data scientist in Singapore, I was looking to take my skills to the next level and this course exceeded my expectations. The instructors were passionate and knowledgeable, and the course materials were cutting-edge and relevant. I loved the emphasis on hands-on learning and the opportunity to work on real-world projects. The course helped me gain a deeper understanding of advanced topics like deep learning and natural language processing, and I was able to apply my new skills to a project at work with great success. The sense of community and support from the instructors and fellow students was also fantastic. Overall, I'm so glad I took this course and I would highly recommend it to anyone looking to advance their career in data science!

AH
Amira Hassan
EG · Course completed

I recently completed the شَهادة ماستركلاس في عِلم البيانات (متقدم) course at Stanmore School of Business and I'm very satisfied with the experience. As a data analyst in Egypt, I was looking to improve my skills in data visualization and machine learning, and this course provided a comprehensive introduction to these topics. The course materials were well-organized and easy to follow, and the instructors were helpful and responsive. I appreciated the focus on practical applications and the use of real-world examples to illustrate key concepts. One of the most valuable skills I gained was the ability to work with datasets from different industries and perform advanced data analysis using tools like Python and R. While I felt that some of the topics could have been covered in more depth, overall I was satisfied with the course and would recommend it to others looking to improve their data analysis skills. The course has helped me to achieve my learning goals and I'm now more confident in my ability to analyze and interpret complex data sets.





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Recently updated!

May 2026