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Análise De Dados De Projeto De IA

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Overview

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Learning outcomes

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Course content

1

Fundamentos De Dados Em Ia

2

Preparação E Limpeza De Dados

3

Análise Exploratória De Dados

4

Modelagem Estatística E Machine Learning

5

Visualização E Comunicação De Resultados

Career Path

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Key facts

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Why this course

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  • Instant access to all course materials upon payment
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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 Kingdom
OH
Oliver Hughes
GB · Course completed

Absolutely brilliant! This course gave me the boost I needed to transition from a data analyst to an AI project lead. The hands‑on labs on building end‑to‑end pipelines—from data ingestion with Apache Airflow to model monitoring with MLflow—were spot on. I loved the real‑world project where we built a sentiment‑analysis system for a marketing campaign; I could immediately showcase that work to my manager. The resources are top‑notch, with clear slide decks and downloadable Jupyter notebooks. I’m thrilled with the outcome and would recommend it to anyone eager to dive into AI projects.

MC
Michael Carter
US · Course completed

The "Análise De Dados De Projeto De IA" course exceeded my expectations. The curriculum was perfectly aligned with my goal of leading AI‑driven projects at my fintech startup. I especially appreciated the module on data preprocessing with Pandas, which gave me hands‑on experience cleaning real‑world datasets. The case studies on deploying TensorFlow models in production were directly applicable, and I was able to implement a prototype within two weeks of completing the course. The materials are up‑to‑date, well‑structured, and the bilingual PDFs made it easy to follow along. Overall, a highly professional learning experience that delivered tangible results.

LS
Lucas Silva
BR · Course completed

Fiz o curso porque queria melhorar minhas habilidades em projetos de IA e não me decepcionei. O conteúdo foi bem explicado e trouxe exemplos práticos, como usar o Scikit‑Learn para criar modelos de classificação que eu já apliquei no meu trabalho com análise de crédito. Os vídeos curtos e os exercícios de laboratório ajudaram a fixar o conhecimento. A única coisa que senti falta foi um pouco mais de conteúdo sobre deployment em cloud, mas ainda assim saí do curso com confiança para liderar projetos de IA na minha empresa.

RK
Rahul Kapoor
IN · Course completed

The course was exceptionally detailed and covered every stage of an AI project. I was particularly impressed by the segment on feature engineering, where we learned to extract time‑series features using tsfresh, which I later applied to predict equipment failures at my manufacturing plant. The instructors provided thorough explanations of statistical concepts, and the supplementary reading list included recent research papers that deepened my understanding. The quality of the video lectures, interactive quizzes, and the community forum made the learning journey smooth and engaging. This comprehensive approach helped me achieve my learning objectives and earn a certification that is already being recognized by my employer.





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Recently updated!

May 2026