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.

Why start a career in data analytics?

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.

Why enroll in the Google Data Analytics Certificate?

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.

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.

What tools and platforms are taught in the curriculum?

You'll learn to use analysis tools and platforms such as spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, Python, and Kaggle.

Which “spreadsheet” platform is being taught?

Learners can self-select which platform they want to use throughout the program: Google Sheets or Microsoft Excel. It’s up to the learner’s preference, and all activities throughout the syllabus can be performed on either platform.

Do you need to take each course in course order?

We highly recommend completing the courses in the order presented because the content in each course builds on information from earlier lessons.

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 Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, 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.

Share Data Through the Art of Visualization

本课程是 Google Data Analytics 专业证书的一部分

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您将学到什么

Describe the use of data visualizations to talk about data and the results of data analysis.
Identify Tableau as a data visualization tool and understand its uses.
Explain what data driven stories are including reference to their importance and their attributes.
Explain principles and practices associated with effective presentations.

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24 项作业

授课语言：英语（English）

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。

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该课程共有4个模块

This is the sixth course in the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Understand the importance of data visualization. - Learn how to form a compelling narrative through data stories. - Gain an understanding of how to use Tableau to create dashboards and dashboard filters. - Discover how to use Tableau to create effective visualizations. - Explore the principles and practices involved with effective presentations. - Learn how to consider potential limitations associated with the data in your presentations. - Understand how to apply best practices to a Q&A with your audience.

单元详情

In this module, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.

涵盖的内容

11个视频13篇阅读材料6个作业

11个视频总计50分钟

Introduction to communicating data insights3分钟
Kevin: The power's in the data viz3分钟
Why data visualization matters7分钟
Connect images with data6分钟
A recipe for a powerful visualization5分钟
Dynamic visualizations3分钟
Elements of art5分钟
Data visualization impact5分钟
Design thinking and visualizations6分钟
Accessible visualizations4分钟
Andrew: Making data accessible2分钟

13篇阅读材料总计90分钟

Course 6 overview8分钟
Helpful resources and tips4分钟
Effective data visualizations8分钟
The beauty of visualizing8分钟
Correlation and causation8分钟
The wonderful world of visualizations8分钟
Data grows on decision trees8分钟
Principles of design8分钟
Data is beautiful8分钟
[Optional] Design thinking for visualization improvement8分钟
Pro tips for highlighting key information8分钟
Design a chart in 60 minutes4分钟
Glossary terms from module 12分钟

6个作业总计144分钟

Module 1 challenge40分钟
Self-Reflection: Choose your visualization type20分钟
Test your knowledge on data visualizations 8分钟
Test your knowledge on designing data visualizations8分钟
Hands-On Activity: Create your own visualization60分钟
Test your knowledge on exploring data visualizations8分钟

Tableau is a business intelligence and analytics platform that helps people visualize, understand, and make decisions with data. In this part of the course, you’ll become well-versed in Tableau’s dynamic capabilities and learn to inject creativity and clarity into your visualizations, ensuring that your findings are easy to understand.

涵盖的内容

7个视频7篇阅读材料5个作业1个插件

7个视频总计35分钟

Data visualizations with Tableau2分钟
Tableau Public and other online tools2分钟
Meet Tableau9分钟
Create a data visualization in Tableau6分钟
Optimize the color palette in data visualization3分钟
Get creative 4分钟
Link multiple datasets in Tableau9分钟

7篇阅读材料总计50分钟

Begin to use Tableau Public8分钟
Visualizations in spreadsheets and Tableau8分钟
Optional: Using Tableau Desktop8分钟
Essential design principles8分钟
Bonus Guide: Additional insights on selecting the right data visualization8分钟
Tableau resources for combining multiple data sources 8分钟
Glossary terms from module 22分钟

5个作业总计188分钟

Module 2 challenge40分钟
Hands-On Activity: Create a data visualization in Tableau60分钟
Self-Reflection: Select visuals and charts20分钟
Test your knowledge on creating visualizations in Tableau8分钟
Hands-On Activity: Link multiple datasets in Tableau60分钟

1个插件总计10分钟

Creating effective visualizations10分钟

Connecting your objective with your data through insights is essential to data storytelling. In this part of the course, you’ll get acquainted with the principles of data-driven storytelling and learn to craft compelling narratives using Tableau's dashboard and filtering capabilities, giving life to your data insights.

涵盖的内容

9个视频4篇阅读材料7个作业2个插件

9个视频总计39分钟

Craft stories with data3分钟
Bring ideas to life5分钟
Speak to your audience5分钟
Carolyn: Data journalism4分钟
Tableau dashboard basics5分钟
From filters to charts7分钟
Compelling presentation tips3分钟
Share a narrative6分钟
Sundas: How to manage imposter syndrome3分钟

4篇阅读材料总计22分钟

Effective data stories8分钟
Live and static insights4分钟
Create your first Tableau dashboard8分钟
Glossary terms from module 32分钟

7个作业总计244分钟

Module 3 challenge40分钟
Test your knowledge on data-driven stories8分钟
Hands-On Activity: Create, filter, and customize charts60分钟
Hands-On Activity: Build a dashboard in Tableau60分钟
Test your knowledge on using Tableau dashboards8分钟
Hands-On Activity: Practice presenting60分钟
Test your knowledge on sharing data stories 8分钟

2个插件总计20分钟

Understanding data storytelling10分钟
Elements of an effective narrative10分钟

In this part of the course, you’ll discover how to give an effective presentation about your data analysis. This final module teaches you 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.

涵盖的内容

13个视频9篇阅读材料6个作业

13个视频总计68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
Proven presentation tips5分钟
Present like a pro5分钟
Anticipate the question6分钟
Handle objections4分钟
Q&A best practices5分钟
Connor: Becoming an expert data translator3分钟
Congratulations! Course wrap-up1分钟

9篇阅读材料总计50分钟

Review a slide presentation8分钟
Step-by-Step: Critique of a presentation4分钟
Guide: Share data findings in presentations 8分钟
Evaluate your presentation8分钟
Prepare for the Q&A10分钟
Glossary terms from module 42分钟
Reflect and connect with peers4分钟
Course 6 glossary2分钟
Coming up next...4分钟

6个作业总计104分钟

Module 4 challenge40分钟
Self-Reflection: Examples of great presentations20分钟
Test your knowledge on presentation skills and practices 8分钟
Self-Reflection: Practice handling objections 20分钟
Test your knowledge on caveats and limitations to data8分钟
Test your knowledge on listening, responding, and including8分钟

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已于 Feb 3, 2023审阅

This course was jam-packed with concepts and theories that will take some time to fully internalize and operationalize. As a result, it was challenging in ways that earlier modules were not.

已于 May 30, 2022审阅

This course is really good and amazing, I have learned a lot of thing from this course but very unofortunate that this materi only have 4 weeks in totals. Anyway thank you very much for this course.

已于 Feb 12, 2025审阅

I was almost speechless. This part really served what I currently need for something I'm also working on. Is this a coincidence or God's way? It's getting more and more interesting to dive into.

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