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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ultimate-ab-testing-course-with-python-coding/
课程评论：没有评论
课程名称：终极AB测试课程与Python编码 课程概述： 欢迎加入《终极AB测试课程与Python编码》。本课程将为您提供在Python环境下进行AB测试的实战经验，旨在帮助您像谷歌、亚马逊等顶尖公司的数据科学家一样思考。该课程由一位谷歌前数据科学家授课，包含70多节课程和5小时的视频讲座及练习题，涵盖AB测试的基础知识。此外，课程还包含额外内容，包括模拟面试视频和基于实际AB测试面试问题的案例练习。 课程学习内容： - 商业问题框架：如何定义实验的商业目标和关键绩效指标（KPI）？ - 指标定义：在AB测试中需要考虑的指标集合，包括北极星指标、主要指标、次要指标及保护性指标。 - 商业假设陈述：如何定义实验的商业假设和统计假设？ - 实验设计：如何设定实验参数，包括显著性水平、统计效能和样本大小等？ - 实验运行：大型在线平台上实验运行基础设施的概述。 - 有效性检查：如何评估实验结果的有效性，及应对新颖效应、周几效应、SUTVA等问题。 - 统计推断：使用哪些统计测试来评估实验结果？ - 结果解读：如何基于AB测试结果作出明智决策？ - 实践编码：通过Python分析一个AB测试例子，利用Matplotlib和Pandas进行结果分析，使用Statsmodels进行分析。 课程帮助： - 学习基于真实案例的AB测试基础。 - 了解从业者如何处理AB测试问题。 - 获得针对产品数据科学职位的面试案例练习机会。 这是一门我在2016年成为数据科学家时希望能有的课程。我相信您会发现这门课程在学习AB测试方面非常有帮助。我将以简单明了的语言解释概念，并通过FAANG公司中实际案例的插图进行说明。 现在就加入课程，成为数据科学专家吧！
Welcome to Ultimate AB Testing Course with Python Coding This is a course that will give you a hands-on experience in AB testing with Python. It's designed to help you think like a data scientist at top companies like Google, Amazon and much more. Taught by a former data scientist at Google, the course contains 70+ lessons and 5 hours of video lectures and practice questions designed to teach you everything you need to know about the foundation of AB testing. Plus, the course contains bonus content including mock interview videos and practice cases based on interview questions seen in actual AB testing rounds.What You Will LearnThe course is packed with core lessons on AB testing including:Framing the Business Problem - how to define the business goal and KPIs of an experiment? Defining the Metrics - What's the set of metrics to consider in an AB test? What about the North Star Metric, Primary Metric, Secondary Metric and Guardrail Metrics?Stating the Business Hypothesis - How do you define the business and statistical hypothesis of an experiment?Designing the Experiment - How do you set the experiment parameters including the significance level, statistical power, sample size and such?Running the Experiment - What's the overview of infrastructure on how experiments run in large online platforms? Checking for Validity - How do you assess whether the experiment result is valid or not? How do you check and address the Novelty Effect, Day of the Week Effect, SUTVA and much more?Running Statistical Inference - What statistical tests do you use to assess the experiment result?Interpret the Result - How do you make sound decisions based on AB testing results?Hands-on Coding - You will get a chance to apply your learning with Python. Analyze a sample AB testing result with Matplotlib and Pandas and analyze results with Statsmodels.How This Course Will Help YouYou will learn the foundation of AB testing based on real-world casesYou will see how a practitioner approaches AB testing problemsYou will get a chance to practice interview cases for product data science rolesThis is a course I wish I had when I became a data scientist in 2016. I am confident that you find this course helpful in learning AB testing. I take the approach of explaining concepts in plain English and giving you illustrations based on actual cases seen in FAANG companies.So, join the course now to become a data science pro.
