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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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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
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! As a data enthusiast from the United States, I was looking to enhance my skills in data mining, and this course exceeded my expectations. The instructor's expertise and the quality of the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me understand complex concepts like clustering and decision trees. The course content was well-structured, and I loved how it was divided into manageable modules. I'm now confident in my ability to apply data mining techniques to drive business growth, and I've already started working on a project that involves predicting customer behavior using the skills I learned. Kudos to the Stanmore School of Business team for creating such an engaging and informative course!

KN
Kaito Nakamura
JP · Course completed

I found the 'Mineração De Dados' course to be quite useful in helping me achieve my learning goals. As a student from Japan, I was interested in learning more about data mining and its applications in the Asian market. The course provided a good balance of theoretical foundations and practical examples, which I appreciated. The instructor did a great job of explaining complex concepts in a clear and concise manner. One thing that I found particularly helpful was the discussion forum, where I could interact with other students and get feedback on my assignments. The course materials were also well-organized and easy to follow. Overall, I'm satisfied with the course, and I think it's a good starting point for anyone looking to learn about data mining.

AM
Antoine Moreau
FR · Course completed

Oh mon dieu, I'm so excited to share my experience with the 'Mineração De Dados' course! As a French student, I was a bit skeptical at first, but the course completely won me over. The instructor's passion for data mining is infectious, and the course materials are simply excellent. I loved how the course covered a wide range of topics, from data preprocessing to model evaluation. The assignments were challenging but fun, and I appreciated the feedback from the instructor. What really impressed me, though, was the emphasis on practical applications and case studies. I worked on a project that involved analyzing customer data for a French retail company, and I was able to apply the concepts I learned in the course to get some amazing insights. Merci, Stanmore School of Business, for offering such an outstanding course!

RK
Rahul Kapoor
IN · Course completed

I took the 'Mineração De Dados' course at Stanmore School of Business, and I must say it was a valuable learning experience. As an Indian student, I was looking to enhance my skills in data analysis and mining, and this course helped me achieve that goal. The course content was comprehensive and covered a wide range of topics, including data visualization, clustering, and regression. I found the instructor's explanations to be clear and concise, and the course materials were well-organized and easy to follow. One thing that I appreciated was the focus on real-world applications and case studies. I worked on a project that involved analyzing data for an Indian e-commerce company, and I was able to apply the concepts I learned in the course to get some useful insights. Overall, I'm satisfied with the course, and I think it's a good starting point for anyone looking to learn about data mining.





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Recently updated!

May 2026