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予測分析プロフェッショナル証明書

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Overview

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Learning outcomes

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Course content

1

データ前処理

2

特徴量エンジニアリング

3

時系列予測モデル

4

評価指標とモデル選択

5

実装と運用

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
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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 loved the practical vibe of the 予測分析プロフェッショナル証明書. It helped me finally grasp how to turn raw data into actionable forecasts. The hands‑on labs in R taught me how to run regression analyses on marketing data, and I could immediately apply those skills to my current role at a retail firm. The videos were clear and the supplementary PDFs were easy to follow. It was a relaxed yet focused learning journey, and I left feeling confident about using predictive analytics in everyday business decisions.

MC
Michael Carter
US · Course completed

The 予測分析プロフェッショナル証明書 exceeded my expectations. The curriculum was tightly aligned with my goal of mastering predictive modeling for finance. I especially appreciated the module on time‑series forecasting using Python; the step‑by‑step notebooks allowed me to build a sales‑trend model that I later presented to senior management. The course materials were up‑to‑date, featuring recent case studies from the banking sector, and the instructor feedback was prompt and insightful. Overall, the learning experience was professional and highly relevant to my career advancement.

HT
Hiroshi Tanaka
JP · Course completed

What an exhilarating course! The 予測分析プロフェッショナル証明書 gave me the exact tools I needed to shift from descriptive analytics to true prediction. The segment on machine‑learning algorithms, especially the hands‑on XGBoost workshop, was a game‑changer—I built a churn‑prediction model that boosted my company’s retention rate by 12%. The coursebooks were packed with real‑world Japanese case studies, making the content feel immediately applicable. I’m thrilled with the knowledge I gained and can’t recommend it enough.

ZD
Zanele Dlamini
ZA · Course completed

The 予測分析プロフェッショナル証明書 offered a thorough and detailed exploration of predictive analytics. My primary aim was to learn how to integrate forecasting into supply‑chain planning, and the course delivered exactly that. The detailed walkthrough of ARIMA modeling in Python, combined with the downloadable datasets from African logistics firms, allowed me to develop a demand‑forecast model that reduced stock‑outs by 8% in my pilot project. The reading material was well‑structured, and the weekly live Q&A sessions added depth to the learning experience. Overall, a solid and highly informative program.





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Recently updated!

May 2026