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Certificado De Mestre Em Ciência De Dados (Avançado) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Introdução À Ciência De Dados

2

Fundamentos De Estatística

3

Análise De Dados

4

Visualização De Dados

5

Mineração De Dados

6

Aprendizado De Máquina

7

Deep Learning

8

Processamento De Linguagem Natural

9

Análise De Séries Temporais

10

Modelagem De Dados

11

Engenharia De Dados

12

Arquitetura De Dados

13

Gerenciamento De Dados

14

Segurança De Dados

15

Ética Em Ciência De Dados

16

Computação Em Nuvem

17

Big Data

18

Inteligência Artificial

19

Análise De Dados Avançada

20

Ciência De Dados Aplicada

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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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'm blown away by the quality of the Certificado De Mestre Em Ciência De Dados (Avançado) course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill and reskill, and this course exceeded my expectations. The instructors were knowledgeable and supportive, and the course materials were top-notch. I particularly appreciated the hands-on projects that allowed me to apply theoretical concepts to real-world problems. For instance, I worked on a project involving natural language processing, where I used Python and NLTK to analyze customer reviews. The course helped me achieve my learning goals by providing a comprehensive understanding of advanced data science concepts, including machine learning and deep learning. I'm now more confident in my ability to tackle complex data science projects, and I've already seen a significant improvement in my work.

LH
Leila Hassan
EG · Course completed

I recently completed the Certificado De Mestre Em Ciência De Dados (Avançado) course at Stanmore School of Business, and I must say it was a great experience. As a data analyst in Egypt, I was looking to expand my skill set and knowledge in data science. The course provided a good balance of theoretical and practical knowledge, and the instructors were helpful and responsive. One of the highlights of the course was the section on data visualization, where I learned how to use Tableau to create interactive and informative dashboards. I also appreciated the flexibility of the course, which allowed me to complete it at my own pace. However, I felt that some of the course materials could be more comprehensive, particularly in the area of big data analytics. Overall, I'm satisfied with the course and would recommend it to others looking to improve their data science skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado De Mestre Em Ciência De Dados (Avançado) course at Stanmore School of Business is absolutely amazing! As a data engineer in Japan, I was looking for a course that would help me take my skills to the next level, and this course delivered. The course materials were incredibly comprehensive and covered everything from data preprocessing to model deployment. I particularly enjoyed the section on machine learning, where I learned how to use scikit-learn to build and evaluate models. The instructors were also super supportive and provided detailed feedback on my assignments. One of the projects I worked on involved building a recommender system using collaborative filtering, which was a lot of fun and helped me develop my problem-solving skills. I'm so glad I took this course, and I would highly recommend it to anyone looking to become a data science master!

ÉM
Élise Martin
FR · Course completed

I recently completed the Certificado De Mestre Em Ciência De Dados (Avançado) course at Stanmore School of Business, and I'm generally satisfied with the experience. As a business intelligence analyst in France, I was looking to improve my data science skills and knowledge, and the course provided a good foundation in areas such as data mining and predictive analytics. The course materials were well-structured and easy to follow, and the instructors were knowledgeable and responsive. One of the things I appreciated about the course was the emphasis on practical applications and case studies, which helped me see how the concepts could be applied in real-world scenarios. For example, I worked on a project involving customer segmentation, where I used clustering algorithms to identify customer groups. However, I felt that some of the course materials could be more up-to-date, particularly in the area of cloud computing. Overall, I would recommend this course to others looking to improve their data science skills, but with the caveat that it may not be perfect for everyone.





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Recently updated!

May 2026