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所在平台: Udemy |
课程主页: https://www.udemy.com/course/product-experimentation-ab-testing-in-r-with-real-examples/
课程评论：没有评论
课程名称：A/B 测试完整课程与面试指南 课程概述：您是否曾想过像谷歌、脸书或亚马逊这样的公司是如何利用实验和 A/B 测试推出成功产品的？您是否希望在自己的初创企业或当前工作中应用在线实验？或者您正在面试大科技公司的职位，想了解如何在面试中脱颖而出？随着智能手机的普及，在线控制测试逐渐成为热点。如果您搜索“实验”或“A/B 测试”，会发现成千上万的博客和文章讨论这个话题。然而，其中大多数文章要么充满了不准确和对数学概念的误解，要么难以理解。A/B 测试是一个深奥的领域，涉及从概念化、设计到实施和分析的多个细节。本课程旨在深入探讨重要的统计概念，但以易于理解的方式通过日常例子进行讲解。 在这两小时内，您将学习到： - 产品实验是什么，以及如何正确进行。 - A/B 测试、多变量测试和多臂赌博测试的定义。 - 统计学在 A/B 测试中的相关性。 - 统计概念如置信区间、第一类错误、第二类错误、P 值、统计显著性和统计功效的含义，以及它们在整体中的位置。 - 如何计算成功 A/B 测试的样本大小和持续时间。 - 通过真实的面试问题，掌握 A/B 测试面试的技巧。 所有这些概念将通过亚马逊、AirBnb、Square 和 Uber 等公司的现实案例加以巩固。此外，我还将提供我职业生涯中非常有用的模板和速查表。两小时内，您可以掌握产品实验，并立即在工作或面试中应用这些知识。期待在课程中见到您！
Have you always wondered how companies like Google, Facebook, Amazon use experimentation and AB Testing to launch successful products?Do you want to apply online experimentation at your start-up or your current role?Or maybe you are interviewing for a role in big Tech and wondering how to succeed in those interviews?With the rise of smartphones, online controlled testing has really come to the forefront. If you do a google search for Experimentation or A/B testing, you will come across thousands of blogs and articles that discuss this topic. Unfortunately, most of them are either full of inaccuracies and misinterpretation of mathematical concepts Or they are too difficult to understand. This is not surprising. A/B testing is a deep area - there are many nuances involved throughout the process from conceptualization & design all the way to implementation & analysis. This course addresses this. I have designed this course to go deep into important statistical concepts but in a way that is easy to understand using everyday examples. In just two hours, you will learn -What product experimentation is and how to do it rightWhat is AB Testing, Multivariate Testing and Multi-armed Bandit TestingWhat is the relevance of statistics in AB testingWhat do statistical concepts such as confidence intervals, Type 1, Type 2 errors, p-value, statistical significance and statistical power mean And how do they fit in the big pictureAnd how to calculate sample size and duration for a successful AB testHow to excel in AB testing interviews through real interview questionsAll these concepts will be reinforced with real world examples from companies such as Amazon, AirBnb, Square and Uber. I will also provide you with templates and cheat sheets that have really helped me in my career. In 2 hours, you can master product experimentation and immediately start applying it in your job or interviews. See you in the course!
