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人工知能プロジェクトのデータ分析認定(上級) (Advanced)

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Overview

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Learning outcomes

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Course content

1

データ前処理とクレンジング

2

特徴量エンジニアリング

3

探索的データ分析

4

統計的モデリング

5

機械学習アルゴリズム選定

6

深層学習モデル構築

7

モデル評価指標

8

ハイパーパラメータ最適化

9

データ可視化技法

10

ビジネスインパクト評価

11

データパイプライン設計

12

スケーラブルaiシステム

13

倫理と公平性評価

14

Aiプロジェクト管理

15

成果物ドキュメンテーション

16

パフォーマンスモニタリング

17

継続的学習とモデル更新

18

クラウドaiサービス活用

19

データガバナンスとコンプライアンス

20

プレゼンテーションとステークホルダーコミュニケーション

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
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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 States
MC
Michael Carter
US · Course completed

The Artificial Intelligence Project Data Analysis Certification (Advanced) at Stanmore School of Business exceeded my expectations. The curriculum aligned perfectly with my goal of leading AI‑driven projects, and the modules on advanced regression techniques and model interpretability gave me the confidence to present actionable insights to senior stakeholders. I especially appreciated the hands‑on lab where we built a real‑time anomaly detection pipeline using Python, pandas, and TensorFlow; that project is now part of my portfolio. The course materials were up‑to‑date, well‑structured, and included case studies from Fortune‑500 companies, which made the theory instantly relevant. Overall, the learning experience was seamless, and I feel fully equipped to drive data‑centric AI initiatives in my organization.

SL
Sophie Laurent
CA · Course completed

I took the 人工知能プロジェクトのデータ分析認定(上級) and it really helped me hit my learning targets. The instructors broke down complex topics like ensemble methods and feature engineering into bite‑size videos, which made it easy to follow. A cool part was the group project where we used Jupyter notebooks to clean a messy retail dataset and then built a forecasting model with Prophet – I actually used that model at work to predict inventory needs. The PDFs and slide decks were clear and packed with real‑world examples, though I wish there were a few more interactive quizzes. Still, the overall vibe was supportive and I left the course feeling ready to tackle AI projects head‑on.

FW
Felix Wagner
DE · Course completed

Wow – what an inspiring course! The Advanced AI Project Data Analysis program gave me exactly the practical toolkit I needed to upgrade my skill set. I loved the deep dive into clustering algorithms and how they can be applied to customer segmentation; the hands‑on assignment where we used scikit‑learn to segment a telecom dataset was eye‑opening. The course materials were top‑notch – crisp video lectures, downloadable R scripts, and a treasure‑trove of industry reports that felt fresh and relevant. The instructor’s enthusiasm was contagious, and the feedback on my final capstone project (building a recommendation engine) was detailed and encouraging. I’m now confident to lead AI‑driven analytics projects at my firm.

HS
Haruto Saito
JP · Course completed

この上級コースは、私の学習目標を具体的にサポートしてくれました。特に、時系列データの前処理とLSTMモデルの実装に関するモジュールは、実務で直面していた売上予測課題を解決する上で非常に有用でした。授業では、実際の企業データセットを用いたハンズオン演習があり、Python と PyTorch を駆使してモデルを構築し、評価指標(RMSE、MAE)を改善するプロセスを体験できました。教材は最新の研究論文とケーススタディを組み合わせており、理論と実践のバランスが取れています。全体として、講師の丁寧な指導と充実した学習リソースにより、AIプロジェクトのデータ分析に自信を持って取り組めるようになりました。





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Recently updated!

May 2026