Product Mentality for Data Scientists and Engineers

本课程提供有针对性和有影响力的材料，以帮助目前或将要在产品团队工作的数据科学家和工程师。拥有正确的信息，产品团队中更多的技术角色可以帮助确保他们所做的工作有助于用户和客户真正想要的成功产品。随着越来越多的产品包含机器学习、人工智能和数据科学功能，产品经理和数据科学家/工程师将更加紧密地合作。对核心概念有共同的理解并以同样的方式思考产品，这些角色可以互惠互利。展示对产品管理基础的良好理解也将有助于数据科学家和工程师的职业生涯。

完成本课程后，您将能够揭开产品管理概念的神秘面纱，并拥有识别产品风险、识别开发和改进产品的机会、识别常见的反模式以及如何纠正它们所需的工具。产品经理和利益相关者经常使用的关键术语也包括在内，本课程的学习者将了解客观关键结果 (OKR)、关键绩效指标 (KPI) 及其与数据科学家熟悉的模型指标的关系。

本课程中的材料基于我的专业经验和对产品管理的个人兴趣。通过学习产品管理的关键概念并保持产品心态，产品和项目在竞争激烈的市场中获得成功的机会更大。在课程的最后，我将分享我对成功的几个规则的看法，这应该对学习者的职业未来有所帮助。

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 7 lectures (3h 22m) | Size: 874.1 MB

Making Data Scientists and Engineers a successful part of the product team

What you’ll learn
Key terms and concepts for product, product management and product development.
How to identify and mitigate risks for product development.
How to be a better member of any product team.
How to identify and avoid anti-patterns on product teams.
How to gain and apply a product mentality.
The differences between outcomes, outputs and opportunities.
The differences between metrics, KPIs and OKRs.

Requirements
No prerequisites are needed.

Description
This course offers targeted and impactful material to help Data Scientists and Engineers who are currently, or will be working on product teams. Having the right information, the more technical roles on a product team can help ensure the work they are doing is contributing to a successful product that users and customers actually want. As more products contain Machine Learning, Artificial Intelligence and Data Science capabilities, Product Managers and Data Scientists/Engineers will be working more closely together. Having a common understanding of core concepts and thinking about product in the same way, these roles can be mutually beneficial. Demonstrating a good understanding of product management fundamentals will also help Data Scientists and Engineers in their professional career.

After taking this course, you will be able to demystify product management concepts and have the tools needed to be identify product risk, identify opportunities for developing and improving products, and identify common anti-patterns and how to correct them. Key terms that are used frequently by product managers and stakeholders are also covered, and learners of this course will learn about objective key results (OKRs), key performance indicators (KPIs) and their relationship to model metrics that Data Scientists are familiar with.

The material in this course is based on my professional experience and personal interest in product management. By learning the key concepts of product management and maintaining a product mentality, products and projects have a better chance of success in a very competitive marketplace. At the end of the course, I will share my thoughts on several rules of success, which should be helpful for learners in their professional future.

Who this course is for
Data Scientists, Analysts, Machine Learning Engineers and other Engineers that work on product teams.
Anybody interested in product management.
Lead data scientists and engineers.
Product team members that deliver software products with data scientists or data science capabilities.