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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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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 Dados De Projeto De IA* course exceeded my expectations. As a data analyst aiming to integrate AI into our product roadmap, the modules on data preprocessing and model evaluation gave me exactly the tools I needed. I was able to apply the Python notebooks to clean a messy dataset from our recent pilot project, reducing processing time by 30%. The video lectures were clear and the case studies—especially the retail‑forecasting example—were directly relevant to my work. Overall, the experience was professional and highly valuable; I feel confident presenting AI‑driven insights to senior management now.

SL
Sophie Laurent
CA · Course completed

I loved the laid‑back vibe of this course. It helped me finally get a grip on building AI models from scratch. The step‑by‑step labs on feature engineering were super practical—I used them to clean up sensor data for a hobby project and actually got a working prediction model in a weekend. The PDFs were easy to follow and the instructor’s jokes kept things light. All in all, a solid learning experience that gave me the confidence to tackle more serious AI projects at work.

FW
Felix Wagner
DE · Course completed

Das Kursmaterial ist hervorragend strukturiert und äußerst praxisorientiert. Mein Ziel war es, KI‑Projektmanagement‑Methoden zu erlernen, um in meinem Unternehmen Daten‑Science‑Teams besser zu leiten. Durch die Lektion zu automatisierten Datenpipelines konnte ich sofort einen Workflow für die Qualitätskontrolle in unserem Fertigungsbereich implementieren, was die Fehlerrate um 15 % senkte. Die Kombination aus theoretischen Erklärungen und realen Business‑Cases hat mir ein tiefes Verständnis verschafft. Ich bin sehr zufrieden mit dem Lernfortschritt und kann den Kurs jedem Analysten empfehlen, der sich in KI‑Projekte einarbeiten möchte.

SR
Siti Rahman
SG · Course completed

What a thorough and exciting journey! I enrolled to boost my skill set for a startup that builds AI‑powered chatbots. The hands‑on assignments, especially the one on deploying a model with Docker, gave me the exact know‑how to get our bot running in production. The course slides were packed with up‑to‑date references, and the community forum was buzzing with helpful tips. By the end, I could independently fine‑tune a language model for better intent recognition—something I’d struggled with before. Definitely a rewarding experience.





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Recently updated!

May 2026