What is data analytics?

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.

What background is required?

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.

Do you need to be strong at math to succeed in this certificate?

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.

Do you need to take each course in course order?

We highly recommend taking the courses in the order presented, as the content builds on information from earlier courses. This is the eighth course in a series of nine courses that make up the Google Data-Driven Decision Making Specialization.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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.

Develop Presentations and Slideshows

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Develop Presentations and Slideshows

本课程是 Google Data-Driven Decision Making 专项课程的一部分

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4个模块

深入了解一个主题并学习基础知识。

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4 小时完成

灵活的计划

自行安排学习进度

4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

4 小时完成

灵活的计划

自行安排学习进度

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.

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要了解的详细信息

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添加到您的领英档案

作业

6 项作业

授课语言：英语（English）

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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。

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该课程共有4个模块

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.

By the end of this course, you will be able to: - Describe best practices for addressing the question-and-answer section of a presentation - Consider the caveats and limitations associated with the data in a presentation - Differentiate between strong and weak presentation content - Describe how junior data analysts are expected to use their presentation skills - Explain principles and practices associated with effective presentations - Identify appropriate responses to presentation objections

单元详情

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

6个视频总计39分钟

Pull it all together1分钟
Present with a framework 6分钟
Weave data into your presentation8分钟
Brittany: Presentation skills for new data analysts3分钟
Connor: Messy example of a data presentation5分钟
Connor: Good example of a data presentation16分钟

3篇阅读材料总计13分钟

Welcome to “Develop Presentations and Slideshows”1分钟
Review a slide presentation8分钟
Step-by-Step: Critique of a presentation4分钟

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.