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Visualização De Dados

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Overview

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Learning outcomes

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Course content

1

Introdução À Visualização De Dados

2

Fundamentos De Design De Informação

3

Tipos De Gráficos E Tabelas

4

Análise De Dados Com Ferramentas Visuais

5

Técnicas Avançadas De Visualização De Dados

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
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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.

4.8
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 Visualização De Dados course at Stanmore School of Business was exactly what I needed to meet my professional development goals. The curriculum covered everything from basic chart theory to advanced Tableau techniques, allowing me to build a fully interactive sales dashboard that cut my weekly reporting time by 30%. The video lectures were clear and the downloadable resources—especially the step‑by‑step workbook—were directly applicable to real‑world projects. I now feel confident presenting data insights to senior leadership, and the certification has already opened doors to a new analytics role within my company.

SL
Sophie Laurent
CA · Course completed

I really enjoyed this course! The way the instructor broke down complex concepts into bite‑size lessons made it super easy to follow. I learned how to use Power BI to turn raw CSV files into clean, interactive reports for my startup’s marketing metrics. The hands‑on labs were fun, and I could immediately apply the new skills to track campaign performance—seeing a 15% boost in engagement after tweaking the visualizations. The course materials were up‑to‑date and the community forum helped me troubleshoot quickly. Definitely recommend if you want practical data‑visualization know‑how.

FW
Felix Wagner
DE · Course completed

Wow! This course blew me away with its depth and relevance. I went in hoping to learn basic charting, but left with the ability to craft dynamic D3.js visualizations and integrate them into web dashboards. A standout moment was the module on storytelling with data, where I learned to combine color theory and layout to guide viewers through complex financial data—something I already used in a client presentation that earned a lucrative contract. The lecture slides were polished, the real‑world case studies felt authentic, and the instructor’s enthusiasm kept me motivated throughout. Absolutely worth every minute.

HT
Haruki Tanaka
JP · Course completed

The Visualização De Dados program offered a thorough, step‑by‑step learning path that matched my goal of mastering data visualization for business analytics. Each week I tackled a new module: starting with data preprocessing in Python, moving to statistical graphics with Seaborn, and culminating in an advanced Tableau capstone project where I built a multi‑source dashboard for a retail chain. The provided datasets and detailed solution guides were invaluable, allowing me to replicate and extend the examples on my own. After completing the course, I was able to produce a KPI dashboard that reduced decision‑making latency by two days. The course’s structure, high‑quality videos, and prompt instructor feedback made the entire experience both rigorous and enjoyable.





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Recently updated!

May 2026