Building a Data Science Team

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/build-data-science-team

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Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. The different roles in the data science team including data scientist and data engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz

建立数据科学团队:数据科学是一项团队运动。作为数据科学主管,招募,组织和管理团队以取得成功是您的工作。在这一为期一周的课程中,我们将介绍如何找到合适的人来填补您的数据科学团队,如何组织他们以使他们有最大的机会感到有权力和成功,以及如何随着团队的成长来管理您的团队。 这是一门重点课程,旨在帮助您快速掌握建立和管理数据科学团队的过程。我们的目标是在不牺牲任何基本内容的情况下,为您提供尽可能方便的选择。我们将技术信息放在一边,这样您就可以集中精力管理团队并向前发展。 完成本课程后,您将知道。 1.在数据科学团队中的不同角色,包括数据科学家和数据工程师 2.数据科学团队如何与组织中的其他团队联系 3.不同数据科学团队成员的期望资格是什么 4.采访数据科学家的相关问题 5.如何管理团队的入职流程 6.如何指导数据科学团队取得成功 7.如何鼓励和授权数据科学团队 承诺:1周学习,4-6小时 课程封面图片由JaredZammit提供。知识共享BY-SA。 https://flic.kr/p/5vuWZz

课程大纲

Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff

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Data science is a team sport. As a data science executive it is your job to recruit, organize, and m

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