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Certificado De Mestrado Avançado Em Ciência De Dados (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

Inteligência Artificial

8

Banco De Dados

9

Big Data

10

Computação Em Nuvem

11

Segurança Da Informação

12

Ética Em Ciência De Dados

13

Metodologia Científica

14

Análise De Séries Temporais

15

Reconhecimento De Padrões

16

Redes Neurais

17

Algoritmos De Aprendizado

18

Sistemas De Recomendação

19

Análise De Dados Em Redes Sociais

20

Modelagem Preditiva

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 just completed the Certificado De Mestrado Avançado Em Ciência De Dados course at Stanmore School of Business, and I'm blown away by the quality of the content! The instructors did an excellent job of breaking down complex data science concepts into manageable pieces, making it easy for me to grasp and apply them to real-world problems. The course materials were top-notch, with plenty of practical examples and case studies that helped me develop a deep understanding of machine learning, statistical modeling, and data visualization. I was able to apply the skills I learned to a project at work, which resulted in a significant improvement in our team's productivity and decision-making. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in data science.

LH
Leila Hassan
EG · Course completed

I took the Certificado De Mestrado Avançado Em Ciência De Dados course at Stanmore School of Business, and it was a great experience. The course covered a wide range of topics, from data preprocessing to deep learning, and the instructors were knowledgeable and supportive. I appreciated the flexibility of the online format, which allowed me to balance my studies with my work schedule. The course materials were well-organized and easy to follow, with plenty of opportunities for practice and feedback. One thing that I found particularly helpful was the emphasis on communication and presentation skills - as a data scientist, it's not just about analyzing data, but also about effectively communicating insights to stakeholders. Overall, I'm happy with the course, but I did find some of the assignments to be a bit challenging, especially for someone with a non-technical background like myself.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado De Mestrado Avançado Em Ciência De Dados course at Stanmore School of Business was an incredible journey! I was a bit skeptical at first, but from the very first lesson, I knew I was in for a treat. The instructors were passionate, knowledgeable, and always available to answer questions. The course content was engaging, relevant, and perfectly paced - I never felt overwhelmed or bored. I loved the hands-on approach, with plenty of labs, projects, and quizzes to help reinforce my learning. And the best part? The community! My fellow students were from all over the world, and we had some amazing discussions and collaborations. I gained so much more than just technical skills - I gained a new perspective, a new network, and a new sense of confidence. If you're considering this course, stop thinking and just do it - you won't regret it!

ÉM
Élise Martin
FR · Course completed

I recently completed the Certificado De Mestrado Avançado Em Ciência De Dados course at Stanmore School of Business, and I must say it was a thoroughly enjoyable experience. As a detail-oriented person, I appreciated the comprehensive and structured approach to the course content. The instructors provided clear explanations, and the supporting materials were excellent, with plenty of examples and illustrations to help solidify my understanding. I was particularly impressed by the emphasis on ethics and responsible data science practices - it's an often-overlooked aspect of the field, but one that's essential for ensuring that our work has a positive impact on society. One area for improvement might be the addition of more advanced topics, such as natural language processing or computer vision, but overall, I'm very satisfied with the course and would recommend it to anyone looking to develop a strong foundation in data science.





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Recently updated!

May 2026