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  • 基礎から学ぶデータサイエンス講座: データ分析をビジネスで使う!

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基礎から学ぶデータサイエンス講座: データ分析をビジネスで使う!

5.0 out of 5 stars (3)

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IT技術の進化により、これまで取得できなかったさまざまなデータも取得できるようになった。一方、これらのデータを十分に活用できずに喘いでいる企業も多い。そうしたなかで、世の中ではデータサイエンティストを求める風潮が強くなっているが、そのような人材を確保できる企業はいまだに少ない。
データサイエンスの守備範囲はたいへんに広く、使われる数理技術も高度なものも数多くあるが、その根底にある基本的な考え方や向かっている方向を正しく捉えることができれば、複雑怪奇なデータサイエンスの世界でも容易に全体を見渡すことができるようになる。
本書はデータサイエンスの扱う基礎的な問題を取り上げ、丁寧に解説したもの。本書を読めば、データサイエンスの流れがわかるだけでなく、基礎的な考え方が身につき、専門家を前にしても対話できるレベルまで知見を広げることができる。

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About the Author

神奈川県生まれ。東京大学大学院理学系研究科修了(理学修士)。政策研究大学院大学修了(公共政策修士)。専門は、経営管理、データサイエンス。
都市銀行勤務を経て、現在は大手企業に所属。単独部門では解決できない全社的な問題解決に取り組むほか、中小企業経営にも参画の経験がある。組織力強化のためのメソッドを提唱し、多くの職場で成果を出している。主な著書に『誰がやってもうまくいく!最強の組織づくり』(同友館)がある。

Product Details

  • Publisher ‏ : ‎ 同友館
  • Publication date ‏ : ‎ September 16, 2020
  • Language ‏ : ‎ Japanese
  • Print length ‏ : ‎ 338 pages
  • ISBN-10 ‏ : ‎ 4496054957
  • ISBN-13 ‏ : ‎ 978-4496054952
  • Item Weight ‏ : ‎ 420 g
  • Customer Reviews:
    5.0 out of 5 stars (3)

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坂本松昭
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He serves as Representative Director of OGZA Inc. and also teaches at a university, bringing together the perspectives of a practitioner and an educator. His areas of expertise include the transformation of large enterprises—particularly in the energy and infrastructure sectors—through data science, ROIC-driven management, and the practical implementation of AI and digital transformation (DX). Rather than stopping at high-level strategy, he is known for connecting the entire transformation process end to end—from investment decisions and management decision-making to organizational design and talent development—and turning transformation into operating models that truly work on the ground.

Drawing on deep expertise developed in the environmental and energy fields, as well as hands-on experience gained through real-world management reform, he helps companies pursue both higher corporate value and sustainable growth. He is particularly well regarded for helping organizations move beyond treating AI and DX as mere tool deployment, instead linking them to data-driven management, ROIC-based capital allocation, and faster, more accurate decision-making. Across a wide range of industries—including manufacturing, IT, and energy—he has supported multidimensional transformation initiatives spanning revenue improvement, operational reform, sales effectiveness, organizational development, and HR system redesign.

To date, he has supported more than 200 companies and contributed to the development of over 1,500 professionals. His approach—bridging strategy and execution, management and the front lines, people and technology—has earned him strong recognition. In an era of rapid change, he believes that competitive advantage is determined less by strategy alone than by the quality and speed of decision-making, and by an organization’s ability to keep learning. Guided by this philosophy, he applies practical frameworks such as the OODA loop to embed reproducible transformation mechanisms within companies.

He is also committed to translating insights from data science and optimization into language that can be readily applied in management and business settings. By making complex analysis accessible and bridging data-driven management with frontline operations, he offers a vision of the leadership and organizational capabilities required in the age of AI. In his lectures and training programs, he emphasizes both practical ideas that can be applied immediately and perspectives that build long-term competitiveness, earning the trust of both corporate clients and participants.

His books include Building Strong Organizations, Transforming the Workplace, Marketing OODA, A Foundational Course in Data Science, A Foundational Course in Management, Successful Power Asset Investment: Essential Reading for Energy Businesses, and The Handbook for Success in the Hydrogen Business, among others. Working across the intersecting domains of management, organizations, talent, data science, and energy, he continues to share ideas and practices for transformation in an era defined by the co-evolution of people and technology.

Customer reviews

5 out of 5 stars
3 global ratings

Top reviews from Japan

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  • 5 out of 5 stars
    素晴らしい本
    Reviewed in Japan on September 22, 2020
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    実務例を交えながら丁寧に解説してくれてます。これまでにないデータサイエンスの実践書。

    学術的な記述もはしょることなく親切な説明があり、そこに豊富な実務例があるのでイメージも付きやすいです。

    One person found this helpful
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  • 5 out of 5 stars
    分かりやすいのでオススメです
    Reviewed in Japan on September 21, 2020
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    入門編から上級編までステップを踏んで、階段を登るように理解できました。

    2 people found this helpful
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  • 5 out of 5 stars
    構成が良い
    Reviewed in Japan on October 16, 2020
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    初級編から上級編まで解説が丁寧で分かりやすい。

    DXの推進責任者をしているが部下全員に読ませたい。

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