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Certificado Avançado Em Análise De Big Data (Advanced)

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Overview

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Learning outcomes

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Course content

1

Introdução Ao Big Data

2

Análise De Dados

3

Mineração De Dados

4

Visualização De Dados

5

Estatística Descritiva

6

Estatística Inferencial

7

Modelos De Regressão

8

Árvore De Decisão

9

Análise De Cluster

10

Análise De Componentes Principais

11

Análise De Séries Temporais

12

Preparação De Dados

13

Manipulação De Dados

14

Limpeza De Dados

15

Transformação De Dados

16

Armazenamento De Dados

17

Banco De Dados Nosql

18

Banco De Dados Relacional

19

Inteligência Artificial

20

Machine Learning

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
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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 recently completed the Certificado Avançado Em Análise De Big Data course at Stanmore School of Business, and I must say it was an incredible experience! The course content was extremely comprehensive, covering everything from data preprocessing to advanced analytics techniques. I particularly appreciated the hands-on exercises and real-world case studies, which helped me gain practical skills in working with big data tools like Hadoop and Spark. The course materials were top-notch, and the instructors were always available to answer my questions. I achieved my learning goals and more, and I'm excited to apply my new skills in my current role as a data analyst. Overall, I'm thoroughly satisfied with the course and would highly recommend it to anyone looking to advance their career in data analysis.

LH
Leila Hassan
EG · Course completed

I took the Certificado Avançado Em Análise De Big Data course at Stanmore School of Business, and it was a great learning experience. The course covered a wide range of topics, from data visualization to machine learning, and the instructors did a good job of explaining complex concepts in a simple way. I liked that the course included many practical examples and case studies, which helped me understand how to apply the concepts in real-world scenarios. One thing that I found particularly useful was the section on data storytelling, which taught me how to effectively communicate insights to non-technical stakeholders. The course materials were good, but I felt that some of the videos could have been more engaging. Overall, I'm happy with the course and would recommend it to others, but I think there's room for improvement in terms of making the content more interactive.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado Avançado Em Análise De Big Data course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course exceeded my expectations in every way. The instructors were super knowledgeable and passionate about the subject, and the course materials were incredibly comprehensive. I loved the hands-on exercises and projects, which helped me gain practical skills in working with big data tools like NoSQL databases and data warehousing. The course also covered some really advanced topics, like deep learning and natural language processing, which I found fascinating. The community support was also great, with many opportunities to interact with other students and get feedback on my work. Overall, I'm so glad I took this course, and I would highly recommend it to anyone looking to take their data analysis skills to the next level!

RO
Raphael Oliveira
BR · Course completed

I recently completed the Certificado Avançado Em Análise De Big Data course at Stanmore School of Business, and I'm really happy with the experience. The course was very detailed and covered a wide range of topics, from data mining to predictive analytics. I appreciated the fact that the course included many real-world examples and case studies, which helped me understand how to apply the concepts in practical scenarios. The instructors were also very supportive, and the course materials were well-organized and easy to follow. One thing that I found particularly useful was the section on data governance, which taught me how to design and implement data management policies and procedures. The course also included many opportunities for feedback and discussion, which helped me learn from other students and get a different perspective on the topics. Overall, I'm satisfied with the course and would recommend it to others, but I think some of the topics could have been covered in more depth.





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Recently updated!

May 2026