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Certificado Profesional En Minería De Datos (Avanzado) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Introducción A La Minería De Datos

2

Preprocesamiento De Datos

3

Análisis Exploratorio De Datos

4

Técnicas De Minería De Datos

5

Árboles De Decisión

6

Redes Neuronales Artificiales

7

Algoritmos Genéticos

8

Minería De Textos

9

Visualización De Datos

10

Análisis De Clustering

11

Análisis De Regresión

12

Análisis De Series De Tiempo

13

Minería De Datos No Estructurados

14

Minería De Datos Estructurados

15

Aplicaciones De Minería De Datos

16

Integración De Datos

17

Calidad De Datos

18

Gestión De Datos

19

Análisis De Supervivencia

20

Análisis De Componentes Principales

Career Path

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Key facts

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Why this course

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People also ask

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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
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 blown away by the Certificado Profesional En Minería De Datos (Avanzado) course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to upgrade my skills and this course delivered. The instructor's expertise and the quality of the materials were top-notch. I gained practical knowledge in data mining techniques, including clustering, decision trees, and neural networks. The course helped me achieve my learning goals by providing hands-on experience with real-world datasets. I'm now confident in my ability to extract insights from complex data and drive business decisions. The course was engaging, informative, and fun - I highly recommend it to anyone looking to advance their data mining skills!

LH
Leila Hassan
EG · Course completed

I recently completed the Certificado Profesional En Minería De Datos (Avanzado) course at Stanmore School of Business, and I must say it was a great experience. As a professional from Egypt, I was looking to enhance my data analysis skills, and this course provided me with the necessary tools and knowledge. The course materials were relevant and up-to-date, covering topics such as data preprocessing, feature selection, and model evaluation. I appreciated the instructor's feedback and support throughout the course. While some topics were challenging, the course helped me gain a deeper understanding of data mining concepts and their applications. Overall, I'm satisfied with the course and would recommend it to others looking to improve their data analysis skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado Profesional En Minería De Datos (Avanzado) course at Stanmore School of Business was an incredible journey! As a data scientist from Japan, I was excited to dive into the world of advanced data mining, and this course exceeded my expectations. The instructor's passion and expertise were contagious, and the course materials were comprehensive and well-structured. I gained hands-on experience with popular data mining tools and techniques, including Python, R, and SQL. The course helped me achieve my learning goals by providing a thorough understanding of data mining concepts, including data visualization, clustering, and regression analysis. I'm now confident in my ability to tackle complex data mining projects and drive business growth. If you're looking for a comprehensive and engaging data mining course, look no further - this is the one!

RS
Rafaela Silva
BR · Course completed

I'm really glad I took the Certificado Profesional En Minería De Datos (Avanzado) course at Stanmore School of Business. As a Brazilian professional, I was looking to improve my data analysis skills, and this course provided me with a solid foundation in data mining. The course materials were detailed and relevant, covering topics such as data quality, data warehousing, and big data analytics. I appreciated the instructor's support and feedback throughout the course. One of the highlights of the course was the opportunity to work on real-world projects, which helped me gain practical experience and apply theoretical concepts to real-world problems. While some topics were challenging, the course helped me gain a deeper understanding of data mining concepts and their applications. Overall, I'm satisfied with the course and would recommend it to others looking to improve their data analysis skills.





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Recently updated!

May 2026