中In this course, you’ll discover how to give an effective presentation about your data analysis. The course will teach you how to construct insightful presentations that resonate with your audience. You'll learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders.
Develop Presentations and Slideshows
您将学到什么
Explain principles and practices associated with effective presentations.
Describe how junior data analysts are expected to use their presentation skills.
要了解的详细信息
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September 2025
作业
6 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4个模块
In this module, you’ll discover how to give an effective presentation about your data analysis and view some examples related to it. The module will provide details on how to present with a framework and demonstrate how to weave data into your presentation. The module will provide a step-by-step guide on crtiqueing a presentation.
涵盖的内容
6个视频3篇阅读材料
This module teaches you to construct insightful presentations that resonate with your audience. It provides a guide on how to share data findings in presentations and proven presentation tips on evaluating your presentations like a pro.
涵盖的内容
2个视频2篇阅读材料2个作业
In this module, you will prepare for the Q&A. You will learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders.
涵盖的内容
2个视频1篇阅读材料2个作业
In this module, you will acquire best practices on Q&A.
涵盖的内容
2个视频2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 is required. All you need is high-school level math and a curiosity about how things work.
You don't need to be a math all-star to succeed in this 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 about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
更多问题
提供助学金，