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Análise De Big Data

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Overview

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Learning outcomes

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Course content

1

Introdução Ao Big Data

2

Fundamentos De Mineração De Dados

3

Análise De Dados Não Estruturados

4

Técnicas De Visualização De Dados

5

Aplicação De Machine Learning Em Big Data

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
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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 Análise De Big Data course at Stanmore School of Business exceeded my expectations. The curriculum was tightly aligned with my goal of mastering data pipelines, and the modules on Hadoop and Spark gave me the confidence to design end‑to‑end workflows. I particularly appreciated the hands‑on labs where we ingested real‑world CSV files into a Hadoop cluster and then transformed them with PySpark. The lecture slides were clear, and the supplemental reading from recent industry white‑papers kept the content current. Since completing the course, I have implemented a predictive maintenance model at my company, cutting equipment downtime by 12%. Overall, the professional delivery and practical focus made this a highly valuable learning experience.

LS
Lucas Silva
BR · Course completed

Fiz o curso Análise De Big Data na Stanmore e gostei muito! O conteúdo ajudou a alcançar meus objetivos de aprender a analisar grandes volumes de dados sem perder a cabeça. As aulas práticas com Tableau foram muito úteis – consegui criar dashboards interativos para o meu projeto de marketing digital. O material de apoio era bem organizado e tinha exemplos reais de empresas brasileiras, o que facilitou a aplicação no dia a dia. Saí do curso sabendo montar pipelines de dados usando Apache Airflow, o que já estou colocando em prática no trabalho. Recomendo para quem quer aprender de forma descontraída e eficaz.

FW
Felix Wagner
DE · Course completed

Wow! The Análise De Big Data program at Stanmore School of Business was absolutely thrilling. I set out to become proficient in big‑data analytics, and the course delivered exactly that—and more. The instructor’s enthusiasm shone through every lecture, especially during the Spark streaming session where we processed live Twitter feeds. The case studies from European retail giants were spot‑on, showing how to turn massive datasets into actionable insights. I walked away with the ability to build scalable data lakes on AWS and to run advanced machine‑learning models with MLlib. The blend of theory and real‑world practice made my learning journey unforgettable.

RK
Rahul Kapoor
IN · Course completed

The Análise De Big Data course offered by Stanmore School of Business provided a detailed and methodical approach to big‑data concepts. My primary learning goal was to understand data architecture for large‑scale applications, and the curriculum covered this comprehensively—from relational databases to NoSQL stores like Cassandra. The weekly assignments required us to write Hive queries on a sample e‑commerce dataset, which deepened my practical skills. Course materials, including the annotated Jupyter notebooks, were meticulously prepared and referenced current industry standards. After completing the program, I successfully led a team to migrate our legacy reporting system to a Hadoop‑based solution, improving query performance by 30%.





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Recently updated!

May 2026