One Stop Shop for Your Data Science Product Case Interview

所在平台: Udemy

课程主页: https://www.udemy.com/course/one-stop-shop-for-your-data-science-product-case-interview/

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课程名称:数据科学产品案例面试一站式服务 课程概述:你是否曾经想过如何为数据科学案例面试做好准备?虽然在线上有一些资源试图教授数据科学案例面试,但大多数都有其不足之处。有些资源借鉴了咨询或产品管理面试的原则,但这些原则并不适用于数据科学,因为它需要不同的技能组合。其他一些资源虽然提供了建议或指导,但往往难以系统化应用。例如,我个人并不喜欢尝试记忆问题类型和框架。 我也曾面临过这种挑战!我在面试中挣扎过,第一次面试(甚至是和微软的)让我感到非常沮丧。但通过不懈的练习和学习,我最终开发出了一套应对各种案例面试的模型。凭借这个模型,我在面试中表现出色,成功谈判获得了更高的职位。因此,我的总薪资比最初的报价增加了10万美元,实际上使我的收入翻了一倍。 这本指南基于我个人为面试准备所做的笔记,这些笔记帮助我获得了极佳的工作机会。我也通过这些方法辅导过其他人,他们同样取得了成功。这个成功的经历激励我为更广泛的受众创作这本指南。我相信我的准备指南比市场上其他可用的资源更有效。这是一个最小可行产品(MVP),在我收集到更多反馈后,将会推出更高级的版本。

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Have you ever wondered how to prepare for a data science case interview?There are some resources online that try to teach data science case interviews, but they all have their flaws. Some apply principles from consulting or product management interviews, which don't work because data science requires a different skill set. Others offer pointers or guidelines that, while somewhat helpful, can be difficult to apply systematically. For example, I personally dislike trying to memorize types of questions and frameworks.I've been there! I used to struggle with case interviews, and my first one (with Microsoft, no less) was so bad I wanted to disappear. But through relentless practice and learning, I developed a model for tackling any type of case interview. With this model, I excelled at my interviews, enabling me to negotiate a higher-level offer. The result? My total compensation increased by $100K from the original offer, effectively doubling my current income.This guide is based on my personal notes from preparing for interviews, which have helped me secure amazing offers. I've mentored others with these methods, and my guide has helped them land offers as well. This success inspired me to create this guide for a wider audience. I'm confident that my prep guide is more effective than others available on the market. This is a MVP and a more advanced version will come soon after I collect more feedback!

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