How to Become a Data Scientist: No Secrets, No Shortcuts

所在平台: Udemy

课程主页: https://www.udemy.com/course/how-to-become-a-data-scientist-no-secrets-no-shortcuts/

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**课程名称:** 如何成为一名数据科学家:没有秘密,没有捷径 **课程概述:** 本课程旨在帮助有志于成为数据科学家的学习者,提供一条真实、可行的发展路径,摒弃社交媒体上充斥的虚假宣传和捷径。课程将揭示成为数据科学家背后真正需要付出的努力,并强调教育、经验和个人成长的重要性。 **课程核心内容:** * **破除迷思:** 揭穿社交媒体上常见的错误观念,例如过度夸大成就、无需正规教育、仅凭个人项目就能成功等。 * **真实路径:** 指导学习者认识到成为数据科学家是一个循序渐进、不断学习和积累经验的过程。 * **自我认知与规划:** 帮助学习者评估自身现有经验和期望发展的技能,并制定个性化的学习路线图。 * **核心原则:** 强调“不撒谎”、“从当下开始”、“获取教育”、“积累经验”、“持续成长”这五大核心原则。 * **职业发展:** 强调诚实、教育、经验和谦逊的态度是开启数据职业生涯并取得持续成功的最佳方式。 **总结:** 本课程并非提供快速成功的秘诀,而是引导学习者踏上一条需要时间和努力的真实道路。通过本课程,您将了解成为一名优秀数据科学家的真正含义,并获得构建自身职业发展蓝图所需的支持和指导。

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Do you want to become a data scientist? Of course you do. But where to start?Unfortunately, many aspiring data scientists start on social media, where they learn to:Drop the "aspiring." You're a data scientist already!Oversell your accomplishments. Make your resume rise to the top of the pile!Make up some numbers if it helps you make your case. 95% of data scientists _______!Don't go to college. Just do personal projects!Of course, it's not so simple. Yes, there are people who follow these principles and still manage to find success. But for most, the path is both less and more complicated. Less complicated because it will follow the more intuitive process of iteratively gaining education and experience over time. More complicated because there is no one path, and you'll need to decide what specific skills you want to develop and what kind of data professional you want to become.This course will help you to track your experience and desired skills and create your own roadmap. It will also refute some of the common myths and tricks that are out there while taking you through the steps of a more probable path to success:Don't LieStart Where You AreGet EducationGet ExperienceKeep GrowingThis isn't a secret process. But it will take a lot of time and hard work. This course will walk you through how honesty, education, experience, and humility are the best ways to get started on becoming a data professional and continuing to progress throughout your career.

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