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所在平台: Udemy |
课程主页: https://www.udemy.com/course/essential-non-technical-skills-of-effective-data-scientists/
课程评论：没有评论
课程名称：有效数据科学家的基本非技术技能 课程概述： 本课程强调数据科学工作不仅仅依赖于技术能力，比如Python、R和机器学习等。在实际工作中，数据科学家需要掌握一系列非技术技能，这些技能虽然不需要大量的技术培训或正式认证，却是将数据科学应用于商业问题的基础。随着IT专业人员急于提升技能以适应数据科学领域的职业需求，许多人往往忽视了技能发展的另一部分——非技术技能。这些软技能对于提升职业发展至关重要。 本课程设计简单易懂，适合最近毕业的数据显示科学从业人员、初学者、新入职员工，以及任何希望在办公室及全球职场中提升技能的员工。课程内容旨在帮助你培养有效的工作习惯，成功地应对工作挑战，创造健康的工作与生活平衡，同时更好地理解个人优势及最佳工作方式。这些非技术技能能够帮助你将首份数据科学工作转变为成功的终身职业。 学习目标： - 发展关键的非技术技能，提升专业形象和工作自信心。 - 在职场中成为更有效的沟通者。 - 提高提问能力，激发在任何项目中有效使用数据的想法。 - 评估个人优势与劣势，并了解如何在团队和个人层面充分利用这些技能。 - 制定清晰、具体和可行的目标，以提升职场自信。 本课程提供的非技术技能能够帮助你在竞争激烈的求职市场中脱颖而出，保持专注，并更好地融入全球职场社区。练习和发展这些技能将为你的职业发展打下坚实基础。所有完成课程的学生将获得可验证的结业证书。
Most data science training focuses only on key technologies like Python, R, ML etc. But real-world data science jobs require more than just technical acumen. As IT professionals rush to upgrade their current skill-set and become career ready in the field of data science, most of them forget the other part of skill development - Non-technical skills.These skills won't require as much technical training or formal certification, but they're foundational to the rigorous application of data science to business problems. Even the most technically skilled data scientist needs to have these soft skills to thrive today.This easy to follow course is created for recent Data Science graduates, beginners, new hires, Working Data Professionals, or any employee looking to boost their skills at the office and in the global workplace. I am sure these will help you to develop effective work habits that will help you succeed at your job, create a healthy work/life balance, and have a better understanding of your own personal strengths and how you work best. These nontechnical skills can help you convert your first data science job into a successful, lifelong career.By the end of this course you will be able to:Develop some crucial Non Technical skills, professional presence, and confidence in the workplace.Become a more effective communicator in the work environment.Ask better questions and increase your ability to come up with more and better ideas around how to effectively use data in any project.Evaluate your personal strengths (and weakness), and understand how those are best used at the individual and team levels when working in any Data Science Project.Create clear, specific, and actionable goals to improve your confidence at workplace.These Non Technical skills are those skills that get you hired, keep you focused, and help you survive and integrate into your global workplace community. Practicing and developing these skills will help separate you from the crowd of job applicants and scientists as the field grows.A Verifiable Certificate of Completion is presented to all students who undertake this course.
