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

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Share Data Through the Art of Visualization

This course is part of Google Data Analytics Professional Certificate

Instructor: Google Career Certificates

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4 modules

Gain insight into a topic and learn the fundamentals.

9,989 reviews

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Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

98%

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4 modules

Gain insight into a topic and learn the fundamentals.

9,989 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

98%

Most learners liked this course

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

24 assignments

Taught in English

91% of learners achieved a positive career outcome

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Build your Data Analysis expertise

This course is part of the Google Data Analytics Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Google

There are 4 modules in this course

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.

Module details

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.

What's included

11 videos13 readings6 assignments

11 videosTotal 50 minutes

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

13 readingsTotal 90 minutes

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

6 assignmentsTotal 144 minutes

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

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.

What's included

7 videos7 readings5 assignments1 plugin

7 videosTotal 35 minutes

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

7 readingsTotal 50 minutes

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

5 assignmentsTotal 188 minutes

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

1 pluginTotal 10 minutes

Creating effective visualizations10 minutes

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.

What's included

9 videos4 readings7 assignments2 plugins

9 videosTotal 39 minutes

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

4 readingsTotal 22 minutes

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

7 assignmentsTotal 244 minutes

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

2 pluginsTotal 20 minutes

Understanding data storytelling10 minutes
Elements of an effective narrative10 minutes

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.

What's included

13 videos9 readings6 assignments

13 videosTotal 68 minutes

Pull it all together1 minute
Present with a framework 6 minutes
Weave data into your presentation8 minutes
Brittany: Presentation skills for new data analysts3 minutes
Connor: Messy example of a data presentation5 minutes
Connor: Good example of a data presentation16 minutes
Proven presentation tips5 minutes
Present like a pro5 minutes
Anticipate the question6 minutes
Handle objections4 minutes
Q&A best practices5 minutes
Connor: Becoming an expert data translator3 minutes
Congratulations! Course wrap-up1 minute

9 readingsTotal 50 minutes

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

6 assignmentsTotal 104 minutes

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

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Reviewed on Feb 3, 2023

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.

Reviewed on May 30, 2022

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.

Reviewed on Feb 12, 2025

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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