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Visualización De Datos

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Overview

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Learning outcomes

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Course content

1

Introducción A La Visualización De Datos

2

Fundamentos De Estadística Descriptiva

3

Gráficos Y Tablas

4

Visualización De Datos Con Herramientas Interactivas

5

Análisis De Datos Para La Toma De Decisiones

Career Path

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Key facts

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Why this course

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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

The Visualización De Datos course at Stanmore School of Business exceeded my expectations. The curriculum was aligned with my goal of mastering data storytelling, and the modules on Tableau and Power BI gave me hands‑on experience building interactive dashboards. I particularly appreciated the real‑world case studies, which allowed me to translate raw sales data into clear visual insights for my department. The course materials were up‑to‑date and the instructor’s feedback was prompt and constructive. Overall, the learning experience was professional and highly relevant, and I feel confident applying these new skills to drive data‑informed decisions.

LO
Lucas Oliveira
BR · Course completed

Fiz o curso Visualização De Dados da Stanmore e adorei! O conteúdo ajudou muito a alcançar meu objetivo de criar relatórios mais atrativos para a equipe de marketing. Aprendi a usar o Google Data Studio e a montar gráficos no Excel que realmente chamam a atenção. Os materiais são bem organizados e os exemplos práticos, como transformar dados de campanha em dashboards, foram super úteis. Saí do curso satisfeito e já estou aplicando as técnicas no meu trabalho diário.

FW
Felix Wagner
DE · Course completed

What an exhilarating experience! The Visualización De Datos program at Stanmore School of Business turned my curiosity about data into real expertise. I loved the energetic teaching style and the deep dive into R's ggplot2 library—now I can craft stunning visualizations for my research projects. The course material was fresh, with plenty of interactive labs that let me practice building dashboards from scratch. Thanks to this course, I presented a data‑driven report to senior management that received excellent feedback. I’m thrilled with the knowledge I gained and highly recommend it!

RK
Rahul Kapoor
IN · Course completed

The Visualización De Datos course offered by Stanmore School of Business provided a comprehensive overview that matched my learning objectives. Over the eight weeks, I acquired practical skills in creating dashboards with Power BI, learned best practices for color theory, and explored advanced chart types using Python's seaborn library. The course pack included detailed lecture notes, real‑world datasets, and step‑by‑step tutorials, which were invaluable for my final project where I visualized climate data for a regional NGO. The overall experience was thorough and satisfying, and I feel well‑equipped to enhance data presentations in my organization.





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Recently updated!

May 2026