Data is everywhere, but turning it into insight requires more than technical skills. You'll learn about bias and its appearance in data, sharpen your analytical thinking skills, and understand how data ecosystems operate. You’ll learn to question assumptions, interpret findings by combining data and business knowledge, and understand why data-informed decisions empower businesses.
Introducing Data Analytics and Analytical Thinking
Introducing Data Analytics and Analytical Thinking
本课程是 Google Data-Driven Decision Making 专项课程 的一部分
顶尖授课教师
包含在 
中
您将学到什么
Discuss the use of data in everyday life decisions
Explain the data analysis process, making specific reference to the ask, prepare, process, analyze, share, and act phases
Define key concepts involved in data analytics including data, data analysis, and data ecosystem
Explain the concept of data-driven decision-making including specific examples
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最近已更新！
September 2025
作业
5 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
积累特定领域的专业知识
本课程是 Google Data-Driven Decision Making 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5个模块
Data analysis follows a six-phased process that requires ongoing review and iteration to ensure quality. In this part of the course, you'll learn what data analysis is, what happens after data analysis, and why data science specialization is important.
涵盖的内容
2个视频3篇阅读材料1个作业
Data ecosystems bring together multiple elements—hardware, software tools, and users—to serve various purposes like data storage and production. In this part of the course, you'll learn what the data ecosystem is, and why blending data with business knowledge can be useful.
涵盖的内容
2个视频2篇阅读材料1个作业
In this part of the course, you'll explore what key analytical skills are required and how to apply them in business scenarios.
涵盖的内容
2个视频1篇阅读材料1个作业1个插件
There are many ways to think—creative, abstract—but analytical thinking is crucial. In this part of the course, you'll learn aspects of analytical thinking, what questions data analysts ask when searching for solutions, and why data-driven approaches are more effective.
涵盖的内容
4个视频1篇阅读材料1个作业
Review everything you've learned and take the assessment.
涵盖的内容
2篇阅读材料1个作业
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常见问题
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
You don't need to be a math all-star to succeed in the certificate. You need to be curious, and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's like about asking the right questions, finding the best sources to answer your question effectively and illustrating your findings clearly in visualizations.
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