DX(デジタルトランスフォーメーション)のためのビッグデータ活用とデータ活用企画のつくりかたまで

🌟 [デジタルトランスフォーメーション時代におけるデータ分析基盤/データ利活용入門] 🌟

コース概要

DX（デジタルトランスフォーメーション）とデータの活用は、現代のビジネスパーソンにとって不可欠な技術です。Yuki Saitoさんが、専門的な知識をもとに、これらの概念を平易の言葉で解説していくオンラインコースです。本コースは、データを活用した企画書の作成方法を含み、実際にデータ利活用を推進するための知識とスキルを身につけることができます。

学習内容

• データ活用って何？ データ革新の基本から始め、どのようにビジネスに役立つのかを理解しましょう。

• データ活用企画書の作成法 データを活用したいアイデアがあれば、この講座で具体的な企画書を作成する方法を学びます。

• エンジニアと会話の準備 ビッグデータを活用したいが、エンジニア側とどのようにコミュニケーションを取るか、必要な知識を学びます。

• 機械学習やAIへの誘導 データアプリケーションの開発について、どのように企画を立てていくかを理解します。

対象者

このコースは以下のような方にお勢めします：

• エンジニア データアプリケーション作成を希望している技術者。

• エンジニア（データ分析基盤編） データ分析の基盤を構築し、データ活用を推進することを目指す技術者。

• ビジネスパーソン DXやデータ活用についてモヤモヤが晴れない方。社内でデータ活用の企画を立てられた際のサポートとして活用します。

学習結果

• デジタルトランスフォーメーションへの理解 デジタル変革がどのように進むのか、その背後にあるデータ分析の重要性を把握します。

• データ活用のアイデアを実現させるスキル 企画書作成の技術から、データ活用プロジェクトを推進するための実践的なスキルまで学びます。

• データ駆動の意識化 ビジネスの意思決定におけるデータ活用の役割を理解し、それを実際のビジネス活動に応用することができます。

[今すぐ学びよ！] コースは、デジタルトランスフォーメーションへの第一歩を踏み出すためのチャンスを提供します。データの力を活かして、あなたのビジネスを次世代へと進化させましょう！🎉

Course Review: Data Utilization for Business Professionals

Overview: The Global course rating for "Data Utilization for Business Professionals" stands at 4.01, with all recent reviews pointing to a well-structured course that aims to introduce the basics of data utilization with practical applications for business professionals. The course seems to cater to those who wish to incorporating data into their organizational strategies with minimal prior knowledge.

Pros:

• Clear and Foundational Instruction: The course is commended for its comprehensible explanation of key terminology and concepts, making it accessible even for those who have not fully implemented digital transformation within their organizations.

• Practical Content: Many reviewers found the content to be new and beneficial, providing insights that could be applied to their existing work.

• Organization of Topics: The course was perceived as well-organized, with a clear flow from the initial introduction to data utilization to the creation of work plans.

• Engagement Materials: A request for sample or template materials to aid in creating work plans suggests that these additional resources would greatly enhance the practical application of the course content.

Cons:

• Sound Distractions: Several reviews pointed out the presence of distracting sounds (such as smartphone notifications) during videos, which detracted from the learning experience.

• Technical Clarifications Required: Some learners expressed confusion regarding Udemy's video recording and uploading processes, indicating that clearer guidance on this front would be helpful.

• Course Title Misalignment: The title of the course was deemed misleading as it did not accurately reflect the content covered. One learner suggested that a title focusing specifically on "Big Data Overview" would be more appropriate.

• Presentation and Content Structure: Issues were raised with the layout of presentation slides, which sometimes contained too much information and made the content harder to grasp. Additionally, navigating between pages was somewhat cumbersome.

• Target Audience Mismatch: The course was expected to cater to 'Business Persons' but was found to be more suited for individuals already involved in data projects. The target audience seems to have been misjudged, leading to a mismatch in expectations and outcomes.

• AB Testing Example Clarity: The example given for AB testing was found to be somewhat obscure. A more straightforward explanation of the process (e.g., "A vs. B test, display pattern A or B") would have been beneficial.

• Resource Availability: The lack of templates or work plans within the course left learners uncertain about how to implement what they learned, potentially hindering their ability to engage with the material effectively.

Course Suggestions for Improvement:

1. Address sound distractions during video tutorials.
2. Provide clear instructions on recording and uploading videos to Udemy.
3. Consider renaming the course title to "Big Data Overview" or similar to better align with content.
4. Simplify presentation slides, ensuring key information is concise and easily digestible.
5. Clarify technical jargon in the initial sections of the course.
6. Offer sample or template work plans and materials within the course to aid practical application.
7. Provide a more straightforward example of AB testing for a clearer understanding.
8. Review the intended target audience and adjust course content accordingly to meet the expectations of learners.

By addressing these points, the "Data Utilization for Business Professionals" course has the potential to become an even more valuable resource for those looking to harness the power of data in their business strategies.