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データマイニング

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Overview

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Learning outcomes

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Course content

1

データの前処理

2

データ分析の基礎

3

データマイニングの概念

4

データの視覚化

5

データの分類と予測

Career Path

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Key facts

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Why this course

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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 States
MC
Michael Carter
US · Course completed

I just completed the 'データマイニング' course at Stanmore School of Business and I'm blown away by the quality of the content! The instructor's ability to break down complex concepts into easy-to-understand modules was incredible. I gained practical knowledge on data preprocessing, clustering, and decision trees, which I've already applied to my current project at work. The course materials were top-notch, with relevant examples and case studies that made the learning experience enjoyable and engaging. I'd highly recommend this course to anyone looking to upskill in data mining - it's been a game-changer for me!

LH
Leila Hassan
EG · Course completed

I found the 'データマイニング' course to be quite comprehensive, covering a wide range of topics from data visualization to predictive modeling. The instructor's teaching style was clear and concise, making it easy to follow along. I appreciated the emphasis on practical applications, with plenty of opportunities to work on real-world datasets. One area for improvement could be adding more advanced topics, such as deep learning or natural language processing. Nevertheless, I'm satisfied with the course and feel confident in my ability to apply data mining techniques to my work in market research.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! The 'データマイニング' program at Stanmore School of Business exceeded my expectations in every way. The course materials were incredibly detailed, with interactive quizzes and exercises that helped reinforce my understanding of the concepts. I was particularly impressed by the section on text mining, which included a fascinating case study on sentiment analysis. The instructor's enthusiasm was infectious, making the learning experience feel more like a collaborative journey than a traditional lecture. I've already recommended this course to my colleagues and friends - it's a must-take for anyone interested in data science!

RS
Rafaela Silva
BR · Course completed

I took the 'データマイニング' course as part of my professional development plan, and I'm happy to report that it met my expectations. The course content was well-structured, with a logical flow of topics that built upon each other. I appreciated the focus on hands-on learning, with plenty of opportunities to practice data mining techniques using popular tools like Python and R. The instructor's feedback was prompt and helpful, and the online discussion forum was a great resource for connecting with fellow students. One suggestion I might make is to include more examples from different industries, such as healthcare or finance. Overall, I'm satisfied with the course and feel more confident in my ability to analyze complex data sets.





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Recently updated!

May 2026