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Ingeniería De Datos

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Overview

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Learning outcomes

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Course content

1

Introducción A La Ingeniería De Datos

2

Fundamentos De Bases De Datos

3

Diseño De Esquemas De Datos

4

Administración De Datos

5

Análisis Y Visualización De Datos

Career Path

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Key facts

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Why this course

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People also ask

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
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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 thoroughly impressed with the 'Ingeniería De Datos' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to upskill and transition into a data engineering role. The course exceeded my expectations, providing a comprehensive overview of data engineering principles, architectures, and tools. The instructors were knowledgeable and supportive, and the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world case studies, which helped me develop practical skills in designing and implementing data pipelines, working with cloud-based data platforms, and optimizing data storage solutions. I've already applied my new skills to a project at work, and the results have been outstanding. I highly recommend this course to anyone looking to break into the field of data engineering or take their skills to the next level. The course has been a game-changer for my career, and I'm grateful for the opportunity to have taken it.

LH
Leila Hassan
EG · Course completed

I took the 'Ingeniería De Datos' course at Stanmore School of Business, and it was a great experience. As someone from Egypt, I was a bit skeptical about the relevance of the course to my local market, but I was pleasantly surprised. The course content was well-structured and easy to follow, and the instructors were responsive to my questions. I appreciated the focus on practical skills, such as data modeling, data warehousing, and data governance. The course materials were also very helpful, with lots of examples and case studies to illustrate key concepts. One area for improvement could be more emphasis on emerging technologies like AI and machine learning, but overall, I'm satisfied with what I learned. I've already started applying my new skills to a project at work, and I'm confident that the course will pay off in the long run.

RA
Raj Anand
SG · Course completed

Wow, just wow! The 'Ingeniería De Datos' course at Stanmore School of Business was an absolute blast! As a data science enthusiast from Singapore, I was looking for a course that would take my skills to the next level, and this course delivered. The instructors were passionate and knowledgeable, and the course materials were engaging and relevant. I loved the hands-on exercises and group projects, which helped me develop practical skills in data engineering, data architecture, and data analytics. The course also covered emerging technologies like cloud computing, IoT, and big data, which was really exciting. What really stood out, though, was the support from the instructors and the community. They were always available to answer questions and provide feedback, and the discussion forums were really active. I felt like I was part of a community of like-minded individuals who were all passionate about data engineering. I've already recommended this course to my friends and colleagues, and I'm confident that it will be a valuable investment for anyone looking to break into the field.

CS
Catarina Silva
BR · Course completed

I recently completed the 'Ingeniería De Datos' course at Stanmore School of Business, and I must say that it was a valuable learning experience. As someone from Brazil, I was interested in learning more about data engineering and how it applies to real-world scenarios. The course provided a comprehensive overview of data engineering principles, including data modeling, data warehousing, and data governance. The instructors were knowledgeable and provided detailed explanations of key concepts, and the course materials were well-organized and easy to follow. I appreciated the focus on practical skills, such as designing and implementing data pipelines, working with cloud-based data platforms, and optimizing data storage solutions. One area for improvement could be more emphasis on local case studies and examples, but overall, I'm satisfied with what I learned. I've already started applying my new skills to a project at work, and I'm confident that the course will pay off in the long run.





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Recently updated!

May 2026