When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Science Fundamentals Part 2: Unit 2

通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省

Data Science Fundamentals Part 2: Unit 2

本课程是 Data Science Fundamentals, Part 2 专项课程的一部分

位教师：Pearson

包含在中

了解更多

1个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Master foundational and modern techniques for statistical inference and data analysis.
Apply computational and sampling-based approaches to real-world data problems.
Conduct hypothesis tests and optimize processes using A/B testing methodologies.
Distinguish between correlation and causation to ensure robust, actionable insights.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

1 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Science Fundamentals, Part 2 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有1个模块

Thsi course explores foundational and advanced techniques for making reliable inferences from data, starting with a the history and evolution of statistical analysis. Through hands-on lessons, you’ll learn how to leverage computational and sampling-based methods to draw meaningful conclusions, and gain practical experience with hypothesis testing—a cornerstone skill for optimizing digital experiences, such as through A/B testing. The course emphasizes the importance of understanding and quantifying uncertainty, equipping you with the tools to interpret confidence intervals and make well-informed decisions. You’ll also tackle the critical distinction between correlation and causation, ensuring your analyses are robust and actionable. Whether you’re looking to enhance your analytical toolkit or drive impactful business outcomes, this course teaches essential skills for today’s data-centric world.

This module introduces key concepts in statistical inference, focusing on estimation, hypothesis testing, and evaluation. You’ll explore foundational and modern techniques for drawing conclusions from data, including computational and sampling-based methods. The lessons cover hypothesis tests, confidence intervals, and practical applications like A/B testing for web optimization. Emphasis is placed on understanding uncertainty and distinguishing correlation from causation, equipping you with essential tools for robust data analysis.

涵盖的内容

17个视频1个作业

17个视频总计340分钟

Topics 1分钟
What Problem Is Statistics the Answer To?--Part 1 19分钟
What Problem Is Statistics the Answer To?--Part 2 19分钟
The Statistical Framework: Descriptive, Inferential, and Predictive 23分钟
Non-Parametric Estimation--The Bootstrap 48分钟
Quantifying Uncertainty--Confidence Intervals, Part 1 11分钟
Quantifying Uncertainty--Confidence Intervals, Part 2 24分钟
Correlation versus Causation, Part 1 25分钟
Correlation versus Causation, Part 2 23分钟
Correlation versus Causation, Part 3 12分钟
Evaluating Hypotheses--Significance Testing, Part 1 19分钟
Evaluating Hypotheses--Significance Testing, Part 2 13分钟
Evaluating Hypotheses--Significance Testing, Part 3 19分钟
Evaluating Hypotheses--Significance Testing, Part 4 30分钟
Evaluating Hypotheses--Significance Testing, Part 5 11分钟
Experimental Design--Assumptions and Caveats 26分钟
Review--Which Approach to Choose 17分钟

1个作业总计30分钟

Making Inferences: Statistical Estimation and Evaluation Quiz 30分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Pearson

268 门课程 48,611 名学生

提供方

Pearson

从 Data Analysis 浏览更多内容

Pearson
Data Science Fundamentals Part 2: Unit 3
课程
Pearson
Data Science Fundamentals Part 2: Unit 1
课程
Pearson
Data Science Fundamentals Part 1: Unit 2
课程
Coursera
Run Inference & Hypothesis Tests
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.