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データサイエンス

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Overview

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Learning outcomes

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Course content

1

データ分析基礎

2

データ前処理

3

データ可視化

4

機械学習の基礎

5

データ科学の応用

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 States
MC
Michael Carter
US · Course completed

I'm blown away by the 'データサイエンス' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to upskill and transition into a role that leverages data science. This course exceeded my expectations in every way. The instructors were knowledgeable, the course materials were top-notch, and the practical exercises helped me gain hands-on experience with tools like Python, R, and Tableau. I particularly appreciated the section on machine learning, which gave me a solid understanding of supervised and unsupervised learning techniques. The course helped me achieve my learning goals by providing a comprehensive overview of data science concepts, and I'm now confident in my ability to analyze complex data sets and communicate insights effectively. I'd highly recommend this course to anyone looking to break into the field of data science!

LH
Leila Hassan
EG · Course completed

I recently completed the 'データサイエンス' course at Stanmore School of Business, and I must say it was a great learning experience. As a working professional from Egypt, I was looking for a course that would help me enhance my data analysis skills, and this course delivered. The course materials were relevant and up-to-date, covering topics like data visualization, statistical modeling, and data mining. I appreciated the flexibility of the course, which allowed me to balance my work and study commitments. The instructors were supportive, and the discussion forums were helpful in clarifying concepts and sharing knowledge with fellow students. One area for improvement could be the addition of more case studies or real-world examples to illustrate the practical applications of data science. Overall, I'm satisfied with the course and would recommend it to others looking to improve their data science skills.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I'm so glad I took the 'データサイエンス' course at Stanmore School of Business. As a student from Japan, I was looking for a course that would give me a solid foundation in data science, and this course exceeded my expectations. The instructors were passionate and knowledgeable, and the course materials were engaging and easy to follow. I loved the hands-on exercises and projects, which helped me gain practical experience with tools like pandas, NumPy, and scikit-learn. The course covered a wide range of topics, from data preprocessing to deep learning, and I appreciated the emphasis on real-world applications. I'm now confident in my ability to work with complex data sets and build predictive models. The course community was also very supportive, and I enjoyed collaborating with fellow students on projects. If you're interested in data science, I highly recommend this course - it's worth every penny!

RS
Rafaela Silva
BR · Course completed

I've just completed the 'データサイエンス' course at Stanmore School of Business, and I'm very satisfied with the experience. As a professional from Brazil, I was looking for a course that would help me develop my skills in data analysis and visualization, and this course provided a comprehensive overview of the topic. The course materials were well-structured and easy to follow, and the instructors were helpful in clarifying concepts. I appreciated the focus on practical skills, such as data wrangling, visualization, and communication, which are essential for working with stakeholders and communicating insights effectively. One of the highlights of the course was the section on storytelling with data, which gave me a new perspective on how to present complex data insights in a clear and concise manner. Overall, I'd recommend this course to anyone looking to improve their data science skills and gain practical experience with industry-standard tools.





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Recently updated!

May 2026