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Analyse Des Données Du Projet IA

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Overview

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Learning outcomes

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Course content

1

Acquisition Des Données

2

Nettoyage Des Données

3

Exploration Des Données

4

Modélisation Statistique

5

Visualisation Des Résultats

Career Path

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Key facts

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Why this course

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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
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  • 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
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  • 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 *Analyse Des Données Du Projet IA* course exceeded my expectations. As a data‑analytics professional, my goal was to master the end‑to‑end workflow of an AI project, and the curriculum delivered exactly that. The modules on data preprocessing in Python and the hands‑on labs using real‑world datasets helped me refine my ETL pipeline skills. I especially appreciated the case study on predictive maintenance, where I built a model that improved accuracy by 12 % compared to my previous attempts. The video lectures were crisp, the slide decks were up‑to‑date with the latest industry standards, and the supplemental Jupyter notebooks were ready to run without any configuration issues. Overall, the learning experience was seamless, and I feel fully equipped to lead AI‑driven initiatives at my company.

MS
Mariana Silva
BR · Course completed

Adorei o curso! Eu queria entender como transformar dados brutos em insights úteis para projetos de IA, e o conteúdo foi bem direto ao ponto. As aulas práticas de visualização com Power BI me ajudaram a criar dashboards que já usei nas reuniões da minha equipe. Também aprendi a usar o Scikit‑learn para validar modelos, o que me deu mais confiança ao apresentar resultados ao cliente. O material didático era bem organizado, com exemplos que refletem situações reais do mercado brasileiro. Saí do curso satisfeito e pronto para aplicar o que aprendi no próximo projeto da empresa.

FW
Felix Wagner
DE · Course completed

Ich bin begeistert von diesem Kurs! Mein Ziel war es, meine Kenntnisse im Bereich KI‑Projekt‑Datenanalyse zu vertiefen, und das wurde hier großartig umgesetzt. Besonders die praktischen Übungen zu Feature‑Engineering mit Pandas haben mir geholfen, meine Datenpipeline zu optimieren – ich konnte die Trainingszeit meines Modells um 30 % reduzieren. Die Kursunterlagen sind topaktuell, mit vielen deutschen Beispielen und klaren Erklärungen. Die Kombination aus Theorie, interaktiven Quizzes und realen Projekt‑Case‑Studies hat mein Lernprozess sehr motiviert. Ich kann den Kurs jedem empfehlen, der seine KI‑Kompetenzen auf das nächste Level heben möchte.

ST
Sora Tanaka
JP · Course completed

このコースはとても実践的で、私の学習目標であるAIプロジェクトのデータ分析全体像を把握するのに最適でした。特に、PythonでのデータクリーニングとTensorFlowを用いたモデル評価の章は、実際の業務で即座に活用できるスキルを提供してくれました。課題として出されたEコマースデータセットを使った売上予測プロジェクトでは、特徴量選択のテクニックを学び、予測精度を約8%向上させました。教材は日本語の補足資料も充実しており、スライドとコード例が見やすく整理されています。全体的に満足度が高く、今後のキャリアに大いに役立つと感じています。





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Recently updated!

May 2026