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データサイエンスマスタークラス上級認定 (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Preprocessing

2

Data Visualization

3

Machine Learning Fundamentals

4

Deep Learning Essentials

5

Neural Networks

6

Natural Language Processing

7

Data Mining Techniques

8

Statistical Modeling

9

Data Warehouse Management

10

Big Data Analytics

11

Cloud Computing For Data Science

12

Advanced Data Visualization

13

Geospatial Data Analysis

14

Predictive Modeling

15

Time Series Analysis

16

Recommendation Systems

17

Computer Vision Fundamentals

18

Unsupervised Learning Methods

19

Supervised Learning Algorithms

20

Data Storytelling Essentials

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

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

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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
Ready when you are
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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
Open enrolment · Start today

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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 'データサイエンスマスタークラス上級認定' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to elevate my skills in data science, and this course delivered. The comprehensive curriculum covered everything from data preprocessing to advanced machine learning techniques. I particularly appreciated the hands-on projects that allowed me to apply theoretical concepts to real-world problems. The course materials were top-notch, with engaging video lectures, relevant readings, and useful resources for further learning. I achieved my learning goals and gained practical knowledge in data visualization, statistical modeling, and data mining. I'm excited to apply these skills in my future endeavors. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to master data science.

LH
Leila Hassan
EG · Course completed

I recently completed the 'データサイエンスマスタークラス上級認定' course at Stanmore School of Business, and I must say it was a valuable learning experience. As a professional from Egypt, I was looking to enhance my data analysis skills, and the course provided a solid foundation in data science concepts. The instructor's explanations were clear, and the course materials were well-structured. I appreciated the focus on practical applications, such as using Python libraries for data manipulation and visualization. However, I felt that some topics could have been explored in more depth. Nonetheless, I gained useful insights and skills that I can apply in my work. The course was well-organized, and the support team was responsive. Overall, I'm satisfied with the course and would recommend it to those looking to improve their data science skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'データサイエンスマスタークラス上級認定' course at Stanmore School of Business exceeded my expectations in every way! As a data scientist from Japan, I was looking to stay up-to-date with the latest advancements in the field, and this course delivered. The curriculum was incredibly comprehensive, covering topics such as deep learning, natural language processing, and computer vision. I was impressed by the quality of the course materials, which included interactive notebooks, videos, and quizzes. The instructor's enthusiasm was infectious, and the community support was fantastic. I gained a wealth of practical knowledge and skills, including how to implement neural networks, work with large datasets, and communicate insights effectively. I'm thrilled with the outcome and would highly recommend this course to anyone serious about mastering data science.

CO
Catarina Oliveira
BR · Course completed

I've just finished the 'データサイエンスマスタークラス上級認定' course at Stanmore School of Business, and I'm really pleased with the experience. As a data analyst from Brazil, I was looking to expand my skill set and stay competitive in the job market. The course provided a great overview of data science concepts, including data wrangling, machine learning, and visualization. I appreciated the emphasis on practical applications and the use of real-world examples to illustrate key concepts. The course materials were well-organized, and the instructor's explanations were clear and concise. I gained useful skills in data preprocessing, feature engineering, and model evaluation. While some topics could have been explored in more depth, I'm overall satisfied with the course and would recommend it to those looking to improve their data science skills.





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Recently updated!

May 2026