Free preview available
Columbus, United States · Study online with LSBA

データマイニング

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3138 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

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

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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
Open enrolment · Start today

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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'm blown away by the 'データマイニング' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to deepen my understanding of data mining techniques and their applications. This course exceeded my expectations in every way. The instructor's expertise and the quality of the course materials were exceptional. I particularly appreciated the hands-on exercises and real-world examples that helped me grasp complex concepts like clustering and decision trees. I've already applied my new skills to a project at work, and the results have been outstanding. If you're serious about data mining, this course is a must-take!

AM
Arjun Mehta
IN · Course completed

The 'データマイニング' course was a great learning experience for me. I'm from India, and I was a bit skeptical about taking an online course, but the instructors at Stanmore School of Business did a fantastic job of making the content engaging and easy to follow. The course covered a wide range of topics, from data preprocessing to pattern evaluation, and I appreciated the emphasis on practical applications. One of the most useful things I learned was how to use data mining tools to identify trends and patterns in large datasets. The course materials were relevant and up-to-date, and I liked that the instructors provided feedback on our assignments. Overall, I'm satisfied with the course and would recommend it to others looking to learn about data mining.

CR
Catarina Rodriguez
BR · Course completed

Wow, just wow! The 'データマイニング' course at Stanmore School of Business was amazing! As a Brazilian student, I was looking for a course that would help me develop my skills in data analysis and mining, and this course delivered. The instructors were knowledgeable and enthusiastic, and the course materials were top-notch. I loved the interactive discussions and group activities, which helped me learn from my peers and apply the concepts to real-world scenarios. One of the highlights of the course was the project we worked on, where we had to apply data mining techniques to a real-world problem. It was challenging, but the instructors provided great guidance and support. I'm so grateful to have taken this course, and I would highly recommend it to anyone interested in data mining!

KO
Kofi Owusu
GH · Course completed

I recently completed the 'データマイニング' course at Stanmore School of Business, and I must say it was a valuable learning experience. As a student from Ghana, I was interested in learning about data mining and its applications in various fields. The course provided a comprehensive overview of the subject, covering topics such as data warehousing, machine learning, and text mining. I appreciated the detailed explanations and examples provided by the instructors, which helped me understand the concepts better. The course materials were also well-structured and easy to follow. One area for improvement could be the addition of more case studies or projects that demonstrate the practical applications of data mining in different industries. Nevertheless, I'm satisfied with the course and would recommend it to others looking to learn about data mining.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026