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Columbus, United States · Study online with LSBA

Certificado De Masterclass En Ciencia De Datos (Advanced)

Curso intensivo de ciencia de datos con habilidades prácticas y análisis de datos avanzados para profesionales
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Overview

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Learning outcomes

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Course content

1

Introducción A La Ciencia De Datos Avanzada

2

Procesamiento De Datos No Estructurados

3

Análisis De Datos Con Python

4

Visualización De Datos Avanzada

5

Técnicas De Aprendizaje Automático

6

Modelos De Regresión Avanzados

7

Árboles De Decisión Y Bosques Aleatorios

8

Redes Neuronales Artificiales

9

Procesamiento De Lenguaje Natural Avanzado

10

Análisis De Series Temporales

11

Minería De Datos Avanzada

12

Introducción A La Inteligencia Artificial

13

Análisis De Componentes Principales

14

Análisis De Clustering Avanzado

15

Aplicaciones De Ciencia De Datos En Negocios

16

Análisis De Datos Con R

17

Introducción A La Ciencia De Datos Con Big Data

18

Análisis De Datos Avanzado Con Sql

19

Aplicaciones De Aprendizaje Profundo

20

Análisis De Supervivencia Avanzado

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
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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 completed the Certificado De Masterclass En Ciencia De Datos (Advanced) course at Stanmore School of Business! The comprehensive curriculum and expert instruction helped me achieve my learning goals, particularly in advanced data modeling and machine learning. The course materials were top-notch, with relevant case studies and hands-on projects that allowed me to apply theoretical concepts to real-world problems. I was impressed by the quality of the video lectures, which were engaging, informative, and easy to follow. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone looking to upskill in data science.

LH
Leila Hassan
EG · Course completed

I found the Certificado De Masterclass En Ciencia De Datos (Advanced) course to be a great introduction to advanced data science concepts. The course covered a wide range of topics, from data preprocessing to deep learning, and the instructors did a good job of explaining complex ideas in a simple way. One of the things that stood out to me was the emphasis on practical skills - we worked on several projects that involved analyzing real datasets and building predictive models. The course materials were also very helpful, with lots of additional resources and references for further learning. My only suggestion would be to add more feedback opportunities for students, but overall I was happy with the course and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado De Masterclass En Ciencia De Datos (Advanced) course at Stanmore School of Business was an incredible experience! I was blown away by the depth and breadth of the course content, which covered everything from data visualization to natural language processing. The instructors were super knowledgeable and enthusiastic, and the video lectures were engaging and fun to watch. I loved the fact that we got to work on so many practical projects, using tools like Python and R to analyze and visualize real-world data. The course community was also very supportive, with lots of opportunities to ask questions and get feedback from peers and instructors. I feel like I gained a ton of new skills and knowledge, and I'm excited to apply them in my future career. Thanks, Stanmore School of Business, for an amazing course!

RS
Rafaela Silva
BR · Course completed

The Certificado De Masterclass En Ciencia De Datos (Advanced) course was a valuable learning experience for me, with a good balance of theoretical and practical content. I appreciated the detailed explanations of key concepts, such as regression analysis and time series forecasting, and the opportunities to practice applying these concepts to real-world problems. The course materials were well-organized and easy to follow, with clear instructions and examples. One area for improvement could be the addition of more advanced topics, such as graph neural networks or explainable AI, but overall I was satisfied with the course and would recommend it to others looking to improve their data science skills. The instructors were also very responsive to questions and provided helpful feedback on assignments.





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Recently updated!

May 2026