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Mineração De Dados

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Overview

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Learning outcomes

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Course content

1

Preprocessamento De Dados

2

Mineração De Dados Em Banco De Dados

3

Técnicas De Mineração De Dados

4

Algoritmos De Aprendizado De Máquina

5

Análise De Dados Não Estruturados

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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Self-paced
Learn on your time
Certificate
Included in fee

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 thrilled to have taken the 'Mineração De Dados' course at Stanmore School of Business! The comprehensive curriculum and engaging instructors helped me achieve my learning goals, specifically in understanding data mining techniques and their applications. I gained practical knowledge in using data mining tools and technologies, which I've already applied in my current project. The course materials were top-notch, and I appreciated the real-world examples and case studies that illustrated key concepts. Overall, my learning experience was exceptional, and I'm extremely satisfied with the skills I've acquired.

LH
Leila Hassan
EG · Course completed

I found the 'Mineração De Dados' course to be quite informative and relevant to my career goals. The course covered a wide range of topics, from data preprocessing to pattern evaluation, and provided a solid foundation in data mining principles. I particularly enjoyed the hands-on exercises and group discussions, which helped me develop my critical thinking and problem-solving skills. While some of the course materials could be improved, I appreciated the effort the instructors put into making the content engaging and accessible. Overall, I'm pleased with my learning experience and feel more confident in my ability to apply data mining concepts in my work.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Mineração De Dados' course at Stanmore School of Business exceeded my expectations in every way! The instructors were passionate and knowledgeable, and the course materials were incredibly well-organized and easy to follow. I gained a deep understanding of data mining algorithms and techniques, and learned how to implement them using popular tools like Python and R. The course also covered the importance of data visualization and communication, which I found really valuable. I'm so grateful to have had this opportunity to learn from the best and can't wait to apply my new skills in my future endeavors!

CS
Camila Silva
BR · Course completed

I took the 'Mineração De Dados' course at Stanmore School of Business with some skepticism, but I was pleasantly surprised by the quality of the content and instruction. The course provided a thorough introduction to data mining concepts and techniques, and I appreciated the focus on practical applications and real-world examples. I found the instructors to be knowledgeable and supportive, and the online discussion forums were really helpful for getting feedback and asking questions. One area for improvement could be the addition of more advanced topics or specializations, but overall, I'm satisfied with my learning experience and feel more confident in my ability to work with data mining tools and technologies.





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Recently updated!

May 2026