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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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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
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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for Mineração De Dados hoping to get a solid grounding in data mining techniques, and it delivered. The course was laid out in a friendly, easy‑going style that kept me motivated. I especially liked the practical sessions on clustering customers with K‑means, which I later used to segment our e‑commerce audience at work. The reading material was up‑to‑date and the examples from UK finance firms made the theory feel real. All in all, a great experience that helped me hit my learning targets.

MC
Michael Carter
US · Course completed

The Mineração De Dados course at Stanmore School of Business exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering predictive analytics for marketing. Through hands‑on labs I learned to clean large datasets with Python’s Pandas library and to build classification models using scikit‑learn, which I immediately applied to a campaign at my company, increasing lead conversion by 12%. The video lectures were clear, and the supplemental case studies featuring real‑world Brazilian retail data made the concepts highly relevant. Overall, the learning experience was professional, comprehensive, and directly applicable to my career.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to jump‑start my data science journey. The instructors broke down complex topics like association rule mining into bite‑size, exciting exercises. I built a market‑basket analysis model that uncovered hidden product relationships, which my startup is now using to improve cross‑selling. The course materials—especially the interactive notebooks and real‑time datasets from Indian telecom—were top‑notch. I felt energized throughout and finished the program more confident than ever.

LD
Lucas da Silva
BR · Course completed

O curso Mineração De Dados da Stanmore foi muito detalhado e bem estruturado. Meu objetivo era aprender a aplicar técnicas de mineração em grandes bases de dados para projetos de pesquisa, e consegui isso graças às aulas práticas de regressão logística e análise de séries temporais usando R. Os materiais didáticos incluíam artigos recentes e um conjunto de dados de crédito brasileiro, o que tornou o aprendizado muito pertinente ao mercado local. Embora o ritmo fosse intenso, a qualidade do suporte dos tutores e a clareza dos exemplos me deixaram satisfeito com a experiência geral.





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Recently updated!

May 2026