Free preview available
Columbus, United States · Study online with LSBA

Certificado Avançado Em Mineração De Dados (Advanced)

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
4250 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
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Introdução À Mineração De Dados

2

Preparação De Dados

3

Análise Exploratória De Dados

4

Técnicas De Redução De Dimensionalidade

5

Algoritmos De Aprendizado De Máquina

6

Árvores De Decisão E Florestas Aleatórias

7

Regressão Linear E Logística

8

Modelos De Clusterização

9

Mineração De Dados Em Banco De Dados Relacionais

10

Mineração De Dados Em Banco De Dados Não Relacionais

11

Visualização De Dados

12

Mineração De Textos

13

Mineração De Dados Em Redes Sociais

14

Análise De Séries Temporais

15

Previsão De Demanda

16

Detecção De Anomalias

17

Recomendação De Itens

18

Mineração De Dados Em Imagens

19

Mineração De Dados Em Áudio

20

Mineração De Dados Em Vídeo

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

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.

60 sec
From enrol to start
24/7
Course access
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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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! The course content was incredibly comprehensive, covering everything from data preprocessing to advanced machine learning techniques. I was able to apply the knowledge I gained to a project at work, where I successfully implemented a predictive model that increased our sales forecast accuracy by 25%. The course materials were top-notch, with engaging videos, interactive quizzes, and relevant case studies. I'm so grateful for the opportunity to have taken this course and would highly recommend it to anyone looking to advance their skills in data mining.

LS
Leandro Silva
BR · Course completed

I found the Certificado Avançado Em Mineração De Dados course to be really helpful in filling the gaps in my knowledge of data mining. The instructor was knowledgeable and provided plenty of examples to illustrate the concepts. I appreciated the focus on practical applications, such as text mining and social network analysis. The course materials were well-organized and easy to follow, although I did find some of the assignments to be a bit challenging. Overall, I'm satisfied with the course and feel that it's helped me to become a more competent data analyst.

FW
Felix Wagner
DE · Course completed

WOW, what an amazing course! I'm absolutely blown away by the quality of the instruction and the course materials. The Certificado Avançado Em Mineração De Dados course at Stanmore School of Business is truly world-class. I loved the way the instructor broke down complex concepts into easy-to-understand pieces, and the examples were so relevant to my work in marketing analytics. I gained a ton of practical knowledge and skills, including how to work with large datasets, build predictive models, and communicate insights effectively. The course was engaging, challenging, and fun - I couldn't ask for more!

RK
Rahul Kapoor
IN · Course completed

I took the Certificado Avançado Em Mineração De Dados course at Stanmore School of Business to enhance my skills in data science, and I'm happy to report that it met my expectations. The course covered a wide range of topics, from data visualization to clustering algorithms, and the instructor provided plenty of support and feedback. I found the course materials to be well-structured and easy to follow, although some of the concepts required a bit of extra effort to grasp. One thing that really stood out to me was the emphasis on real-world applications - the case studies and examples were really helpful in illustrating the practical uses of data mining techniques. Overall, I'm satisfied with the course and feel that it's helped me to become a more confident data scientist.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026