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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

2

前処理

3

特徴抽出

4

モデル構築

5

結果評価

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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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
Ready when you are
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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for Aiプロジェクト データ分析 hoping to pick up some practical skills, and it definitely delivered. The course broke down complex concepts like time‑series forecasting for Japanese market data into bite‑size videos, which made it easy to follow. I especially liked the hands‑on lab where we built a simple recommendation engine using TensorFlow – I could actually see the results on a live dashboard. The materials were well‑organised and the tutor was friendly, so overall it was a solid, enjoyable learning experience.

MC
Michael Carter
US · Course completed

The Aiプロジェクト データ分析 course precisely matched my learning goals of mastering data‑driven AI project workflows. The modules on Japanese‑language data preprocessing gave me hands‑on experience with pandas and MeCab, allowing me to clean a real‑world sales dataset within a week. The lecture slides were clear, the case studies were directly applicable, and the supplemental Jupyter notebooks made it easy to replicate the examples. Overall, the professional delivery and up‑to‑date materials exceeded my expectations, and I feel fully prepared to lead AI projects at my company.

AP
Ananya Patel
IN · Course completed

Wow! Aiプロジェクト データ分析 blew me away with its depth and relevance. I was able to turn my goal of creating an AI‑powered customer churn model into reality after completing the module on feature engineering for Japanese datasets. The real‑world project files, especially the Kaggle‑style competition at the end, gave me confidence to present my findings to senior management. The course content was fresh, the examples were spot‑on, and the enthusiastic instructor kept me motivated every step of the way.

ZD
Zanele Dlamini
ZA · Course completed

The Aiプロジェクト データ分析 program provided a detailed roadmap for anyone serious about AI‑driven data analysis. Each chapter meticulously covered topics from data collection using Japanese APIs to model evaluation with cross‑validation, and the accompanying PDFs contained comprehensive formulas and code snippets. I applied the taught techniques to a local retail dataset, successfully reducing prediction error by 12% thanks to the advanced preprocessing strategies I learned. While the pace was intense, the quality of the materials and the thorough explanations made the learning journey highly rewarding.





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May 2026