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Aiプロジェクト データ分析

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Overview

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Learning outcomes

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Course content

1

データ収集と前処理

2

特徴量エンジニアリング

3

モデル選定とチューニング

4

評価指標と検証

5

デプロイとモニタリング

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 Aiプロジェクト データ分析 course perfectly matched my goal of applying AI techniques to real‑world business data. The modules on exploratory data analysis and feature engineering gave me hands‑on experience with Python’s pandas and scikit‑learn libraries. I especially appreciated the case study on retail sales forecasting, which I later used to improve my company’s quarterly projections. The video lectures were clear, the supplemental PDFs were up‑to‑date, and the interactive notebooks ran without issues. Overall, the learning experience was seamless and I feel fully equipped to lead data‑driven AI projects.

LS
Lucas Silva
BR · Course completed

Fiquei muito satisfeito com o curso Aiプロジェクト データ分析. Ele ajudou a alcançar meu objetivo de entender como transformar dados brutos em insights acionáveis. As aulas práticas de limpeza de dados e visualização com Tableau foram muito úteis; já apliquei esses conhecimentos em um projeto de análise de churn para a minha startup. O material didático é bem organizado e os exemplos são relevantes para o mercado brasileiro. Apesar de alguns vídeos serem um pouco longos, a experiência geral foi muito boa e recomendo.

FW
Felix Wagner
DE · Course completed

Professionally, the Aiプロジェクト データ分析 course exceeded my expectations. It aligned directly with my ambition to integrate AI analytics into our supply‑chain processes. The segment on time‑series modeling using Prophet gave me a concrete toolset, which I used to predict demand fluctuations with a 12 % error reduction. The course materials—especially the detailed slide decks and GitHub repository—were of high quality and up‑to‑date with industry standards. The structured quizzes reinforced my learning, and I left the course feeling confident to present data‑driven strategies to senior management.

HT
Haruki Tanaka
JP · Course completed

このコースは本当に楽しかったです!AIプロジェクト データ分析で学んだことは、私のキャリア目標であるデータサイエンティストへの第一歩になりました。特に、実際のビジネスデータを使ったクラスタリング演習で、顧客セグメントを5つに分けることができ、今はその結果を社内のマーケティングチームに提案しています。教材は分かりやすく、ビデオと実習ノートがうまく組み合わさっていました。少し難しい部分もありましたが、全体的に充実した学習体験でした。





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Recently updated!

May 2026