This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Ask Questions to Make Data-Driven Decisions
Ask Questions to Make Data-Driven Decisions
本课程是 Google Data Analytics 专业证书 的一部分
顶尖授课教师
1,400,111 人已注册
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您将学到什么
Explain how the problem-solving road map applies to typical analysis scenarios.
Discuss the use of data in the decision-making process.
Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
Describe the key ideas associated with structured thinking.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累 Data Analysis 领域的专业知识
本课程是 Google Data Analytics 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
- 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
- 通过 Google 获得可共享的职业证书
该课程共有4个模块
Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
涵盖的内容
8个视频6篇阅读材料6个作业1个插件
In analytics, data drives decision-making, and this is your opportunity to explore data of all kinds and its impact on all sorts of business decisions. You’ll also learn how to effectively share your data through reports and dashboards.
涵盖的内容
6个视频6篇阅读材料5个作业
Spreadsheets are a key data analytics tool. Here you’ll learn both why and how data analysts use spreadsheets in their work. You’ll also investigate how structured thinking helps analysts understand problems and come up with solutions.
涵盖的内容
9个视频10篇阅读材料10个作业1个插件
Successful data analysts balance the needs and expectations of their team and the stakeholders they support. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.
涵盖的内容
14个视频8篇阅读材料3个作业1个插件
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从 Data Analysis 浏览更多内容
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学生评论
4.7
34,581 条评论
- 5 stars
79.88%
- 4 stars
15.88%
- 3 stars
2.94%
- 2 stars
0.70%
- 1 star
0.56%
显示 3/34581 个
MW
5
已于 Mar 31, 2021审阅
I just finished the 2nd Course in the Google Data Analyst course - even though I have experience in the field, this course reminded of areas that I should focus on and work to strengthen my skills in.
BM
5
已于 Aug 29, 2021审阅
It was a good course, I didnt know anything related to data analysis, and since I started these courses I've been able build up my skills, mind you I've haven't put it into practice in reality yet.
NB
4
已于 Feb 18, 2025审阅
Data driven decisions are so important, and this course clearly and concisely explained the reasons why. I would have liked more information on Metric Goals, but overall its very completely defined.
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.
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.
更多问题
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