Limited spots — Enrol now and start immediately
Home / Courses / Certificado Avançado Em Mineração De Dados (Advanced)
Columbus, United States · Study online with SSB

Certificado Avançado Em Mineração De Dados (Advanced)

Free preview available
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
1320 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
1320+
Enrolled
4.5★
Rating
20
Units
150+
Countries
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Introdução À Mineração De Dados

2

Conceitos Básicos De Mineração De Dados

3

Técnicas De Pré Processamento De Dados

4

Análise Exploratória De Dados

5

Mineração De Dados Em Grande Escala

6

Algoritmos De Classificação

7

Árvores De Decisão

8

Redes Neurais Artificiais

9

Algoritmos De Agrupamento

10

Mineração De Dados Em Textos

11

Técnicas De Redução De Dimensionalidade

12

Mineração De Dados Em Dados Temporais

13

Algoritmos De Previsão

14

Técnicas De Mineração De Dados Em Dados Espaciais

15

Análise De Dados Não Estruturados

16

Mineração De Dados Em Dados De Fluxo

17

Técnicas De Avaliação De Modelos

18

Ferramentas De Mineração De Dados

19

Aplicações De Mineração De Dados

20

Ética Na Mineração De Dados

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 thrilled to have completed the Certificado Avançado Em Mineração De Dados course at Stanmore School of Business! As a data enthusiast from the United States, I was eager to dive deep into advanced data mining techniques. The course exceeded my expectations, providing me with a comprehensive understanding of data preprocessing, feature engineering, and model evaluation. I particularly appreciated the hands-on exercises and real-world case studies, which helped me develop practical skills in data visualization and machine learning. The course materials were top-notch, and the instructors were knowledgeable and responsive. I've already applied the concepts learned in this course to my current project, and the results have been impressive. I highly recommend this course to anyone looking to advance their data mining skills!

AM
Arjun Mehta
IN · Course completed

I found the Certificado Avançado Em Mineração De Dados course to be quite informative and helpful in achieving my learning goals. As someone from India with a background in statistics, I was looking to expand my skill set in data mining. The course covered a wide range of topics, including clustering, decision trees, and neural networks. I appreciated the emphasis on practical applications and the use of popular tools like Python and R. The course materials were well-structured, and the video lectures were engaging. However, I felt that some topics could have been explored in more depth. Overall, I'm satisfied with the course and would recommend it to others looking to gain a solid foundation in data mining.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado Avançado Em Mineração De Dados course at Stanmore School of Business was an incredible experience! As a data scientist from Japan, I was blown away by the course's comprehensive coverage of advanced data mining techniques. The instructors were passionate and knowledgeable, and the course materials were cutting-edge. I loved the interactive discussions and peer feedback, which helped me stay motivated and engaged throughout the course. The hands-on projects were challenging but rewarding, and I gained valuable experience working with large datasets and complex algorithms. I've already seen a significant improvement in my data mining skills, and I'm excited to apply them in my future projects. If you're serious about becoming a data mining expert, this course is a must-take!

NJ
Nadia Jensen
DK · Course completed

I recently completed the Certificado Avançado Em Mineração De Dados course at Stanmore School of Business, and I must say it was a worthwhile experience. As a data analyst from Denmark, I was looking to enhance my skills in data mining and machine learning. The course provided a detailed overview of the subject matter, covering topics like data preprocessing, feature selection, and model evaluation. I appreciated the use of real-world examples and case studies, which helped illustrate the practical applications of the concepts. The course materials were well-organized, and the instructors were responsive to questions and feedback. One area for improvement could be the inclusion of more advanced topics, such as deep learning and natural language processing. Nevertheless, I'm satisfied with the course and would recommend it to others seeking to improve their data mining skills.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026