A/B Testing in Python

了解如何定义、开始和分析 A/B 测试的结果。通过 A/B 测试提高业务绩效

发表于 04/2022
MP4 | 视频：h264, 1280×720 | 音频：AAC，44.1 KHz，2 Ch
类型：eLearning | 语言：英语 + srt | 时长：27 节课（2 小时 57 米）| 大小：3 GB

你会学到什么

• 如何使用 A/B 测试来提高业务绩效
• 定义 A/B 测试
• 开始 A/B 测试
• 分析 A/B 测试的结果
• 衡量 A/B 测试的成功与否
• 如何定义假设
• 设计跟踪指标
• 如何准备数据科学面试（当你被问及 A/B 测试时）
• 如何设计数字产品的 A/B 测试
• 同时运行多个 A/B 测试时的高级注意事项

要求

• 无需 A/B 测试经验
• 基础统计知识
• 您不需要高级统计知识
• 不需要编程能力（但对于某些示例，我们将使用 Python）

描述

A/B 测试是一种帮助公司根据数据做出可靠决策的工具。

这是获得数据科学家或数据分析师工作所需的基本技能之一。

您想成为数据科学家还是数据分析师？

如果你这样做，这对你来说是完美的课程！

您的导师 Anastasia 是一位高级数据科学家，在斯德哥尔摩的一家音乐流媒体初创公司工作。她获得了商业智能和计算机科学两个硕士学位，并在短短 3 年内从刚毕业的学生成长为高级职位。Anastasia 为每月拥有数亿用户的大型科技公司进行了大量的 A/B 测试。

通过学习本课程，您将学会如何

· 定义 A/B 测试

· 开始 A/B 测试

· 自己分析 A/B 测试的结果

在您的学习之旅中，Anastasia 将引导您完成一家拥有数字产品的虚构公司的 A/B 测试过程。本案例研究贯穿整个课程，涉及从 A/B 测试过程开始到结束的所有内容，包括一些高级考虑因素。此外，Anastasia 花了一些时间与您分享她关于如何为数据科学家或数据分析师职位准备 A/B 测试面试问题的建议。

与统计教科书和理论培训的区别之一是，这些学习材料将教您如何为拥有数百万或数亿用户的数字产品设计 A/B 测试。这是从业务、技术和数据分析角度对 A/B 测试过程的罕见概述。

如果你是，这对你来说是完美的课程

– 想要学习工作所需基本技能之一的数据科学学生

– 没有 A/B 测试经验的初级数据科学家

– 想要学习如何在公司中运行 A/B 测试以改进他们正在构建的产品的软件开发人员和产品经理

您将学习一项可以改变公司业务（以及您的职业生涯）的宝贵技能。

本课程适用于谁

• 没有 A/B 测试经验的初级数据科学家
• 没有工作经验的数据科学学生
• 软件开发人员
• 产品经理

Learn How To Define, Start, And Analyze The Results Of An A/B Test. Improve Business Performance Through A/B Testing

Published 04/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 27 lectures (2h 57m) | Size: 3 GB

What you’ll learn

• How to use A/B tests to improve business performance
• Define A/B tests
• Start A/B tests
• Analyze the results of A/B tests
• Measure the success of A/B tests
• How to define a hypothesis
• Design tracking for the metrics
• How to prepare for a data science interview (when you get asked about A/B tests)
• How to design A/B tests for digital products
• Advanced considerations when you run multiple A/B tests at the same time

Requirements

• No experience in A/B testing is required
• Knowledge of basic statistics
• You do not need advanced statistical knowledge
• Programming abilities are not required (but for some examples we will use Python)

Description

A/B testing is a tool that helps companies make reliable decisions based on data.

This is one of the fundamental skills you need to land a job as a data scientist or data analyst.

Do you want to become a data scientist or a data analyst?

If you do, this is the perfect course for you!

Your instructor Anastasia is a senior data scientist working at a Stockholm-based music streaming startup. She has earned two Master’s degrees in Business Intelligence and Computer Science, and grown from a recent graduate to a Senior role in just 3 years. Anastasia has performed a significant number of A/B tests for large tech companies with hundreds of millions monthly users.

By taking this course, you will learn how to

· Define an A/B test

· Start an A/B test

· Analyse the results of an A/B test on your own

Along your learning journey Anastasia will walk you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course and touches on everything from the very beginning of the A/B testing process to the very end including some advanced considerations. Moreover, Anastasia takes some time to share with you her advice on how to prepare for the questions on the A/B test interview for a data scientist or data analyst position.

One strong point of differentiation from statistical textbooks and theoretical trainings is that these learning materials will teach you how to design A/B tests for digital products that have millions or hundreds of millions of users. It is a rare overview of the A/B testing process from a business, technical, and data analysis perspective.

This is the perfect course for you if you are

– a data science student who wants to learn one of the fundamental skills needed on the job

– junior data scientists with no experience with A/B testing

– software developers and product managers who want to learn how to run A/B tests in their company to improve the product they are building

You will learn an invaluable skill that can transform a company’s business (and your career along the way).

Who this course is for

• Junior data scientists with no experience in A/B testing
• Data science students with no working experience
• Software developers
• Product managers