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You might have stumbled upon this post and thought about whether the Google Data Analytics Professional Certificate is worth it.

I’ve completed the entire course and found a CLEAR answer.

Here’s what I found:

The Google Data Analytics Professional Certificate is worth it, especially for data analytics beginners. A Google Data Analytics certificate is worth getting for its credibility, 174 hours of learning content, and career resources with connections to 130 US employers, for an affordable cost of USD$39/month.

Now, you might be wondering if this certificate would be worth doing.

In this blog post, I’ll share some reasons why this certificate might be worth it for you, details of the cost, how long it takes to complete this certificate, and who should take this certificate.

Here’s a video of my first impressions! Do give it a watch as you read through this article.

Let’s have a look at what others say!

Based on a poll I did on Linkedin, all of the respondents who have finished this Data Analytics Certificate by Google have found it to be worth it!

Check out the post screenshot below for proof:

Table of Contents

Why Is This Data Analytics Professional Certificate by Google that Worth It?

I completed this certificate in June 2021, and I’m pretty pleased with what I’ve gained from the course! I’ve managed to land a full-time role as a healthcare data analyst in 2021 and, subsequently, a bioinformatics/biomedical data scientist role in 2022!

Now that I’m looking back, I can safely say that this certificate has helped lay out the foundations in helping me in my data analytics/science career.

During my course, I took down some main points and reasons why this certificate is worth buying.

Let’s have a look into some of the reasons why I think this certificate might be worth it for you!

7 Reasons Why The Google Data Analytics Certification is Worth It

  1. Provides Basic Knowledge of Analytics
  2. Provides an Abundance of Learning Resources
  3. Provides Good Certification Credentials
  4. Has a Well-Structured Program to Ensure Learning Progress
  5. Includes Access to Career Resources
  6. Includes a Capstone Data Project
  7. Includes Access to Learning Community

1. Provides Basic Knowledge of Analytics

When you’re looking at starting a course to gain entry-level knowledge, you’d ideally want something with a good introduction to the basics.

That’s exactly what this course gave me – a basic foundation of knowledge of analytics.

Here are some of the skills I could pick out from the course that you will learn as you go through the program:

  • Analytical skills (Tableau, SQL, Spreadsheets, R programming, Excel)
  • Data governance, data integrity, and security
  • Stakeholder management and asking the right questions
  • Effective presentation of visualizations
  • Crafting a good online analytics portfolio

As you can see, the courses provide all the essential tools and skills within the data ecosystem that are perfect for a junior data analyst role.

Based on my background as a healthcare data analyst, these skills are definitely essential to have in the data analysis process.

I personally feel that Tableau is worth learning as an essential data visualization tool, and this course is a great way to start!

If you’re curious to know more about visualizing data using Tableau, you can read more about it in my other post here.

SQL is another good skill used by most data analysts for data cleaning. It can also be used to analyze data and process data before exporting to a data visualization platform.

R programming is also great for data analysis and visualizing data after processing.

This career-focused analytics program does a great job of covering topics within the data analytics field, especially when covering skills used in a typical data analyst’s job.

To give you a better idea of what the course content is like for the basic skills, I’ve included one of Google’s YouTube video lectures below on Cleaning Data in SQL. This is definitely one area that many data analysts must have a basic understanding of!

To get a quick preview of what the basic lectures are like, do watch the video below:

Here’s another video lecture covering the basics of using Spreadsheets for data cleaning as a method for data analysis. This was one of the lectures found in the course as well!

Using spreadsheets for data cleaning is a common task done by data analysts to handle structured and unstructured data. It’s great to know that such content is being taught in this course!

Do check out the video I’ve added below for a preview:

2. Provides an Abundance of Learning Resources

Throughout the entire certification program, I found myself going through many external resources and links from useful resources provided through the readings.

Most of them come from credible sources such as programming documentation, instructional guides, community groups, and online portfolios.

For example, here’s a link to how to “Format numbers as percentages” on Excel from Microsoft’s official support page. I got it from one of the online links in the readings.

Some of these useful resources can be a good supplement to the video lectures in the course. One of the links even brought me to a YouTube video about sorting data in Excel! This is a must-know for data-cleaning tasks!

Check it out below.

Curious to know how the Google Certification compares with the IBM Data Analyst Professional Certificate?

Then you should read my full comparison article!

3. Provides Good Certification Credentials

What you see above is an example of the Professional Certificate (given by Coursera) that you will receive when you complete all 8 courses of the certification.

It’s a screengrab of my certificate!

Looks pretty neat, right?

This is something you can look forward to when you complete yours!

In case you’re wondering, you won’t need to pass any separate exam to get the Google Data certificate, only just the course’s quizzes.

My Coursera Dashboard

For those new to Coursera, it’s a massive open online course platform that hosts many other online certification programs from well-known institutions.

Being one of the most well-known online platforms for learning skills, I would definitely say that having your certificate verifiable on Coursera is a great thing!

Also, who doesn’t know about Google? Having a certificate from Google is probably one of the largest reasons why you’re here, just like me!

Having a Professional Certificate from Google would surely be impressive to employers.

In fact, this certificate provides some really great credentials that can be included in a junior data analyst resume.

I even received a link to verify the certificate on Coursera that’s accessible even after I cancel my subscription to Coursera Plus for this certificate.

You can check out mine at this link here.

Google Data Analytics Certification Accreditation Badge by Credly

In addition to the verifiable Professional Certificate available on Coursera, you’ll also obtain an Accreditation Badge, issued by Credly.

Credly is a digital credentials platform for verifying skills, and they currently partner with Coursera to display and issue badges based on certificates earned.

In our case, since the certificate is hosted on Coursera, a similar badge will be presented to you.

What a way to celebrate and mark the end of your course!

If you’re curious to know of some other certificates that I’d personally recommend, check out my other article on data analytics certificates here!

This might also be pretty useful for those aspiring data analysts applying for data analyst roles!

4. Has a Well-Structured Program to Ensure Learning Progress

Being hosted on Coursera’s online platform, this certificate program ensures that you have a premium learning experience through a well-structured program.

Why would I say that?

Let’s have a look at the course content breakdown in terms of hours.

Breakdown of Entire Course Content by Hours

Course NameApprox. Total Time to CompleteVideo Lecture Time
1Foundations: Data, Data, Everywhere20 hours156 minutes
2Ask Questions to Make Data-Driven Decisions17 hours149 minutes
3Prepare Data for Exploration22 hours140 minutes
4Process Data from Dirty to Clean22 hours213 minutes
5Analyze Data to Answer Questions23 hours193 minutes
6Share Data Through the Art of Visualization23 hours179 minutes
7Data Analysis with R Programming37 hours213 minutes
8Google Data Analytics Capstone: Complete a Case Study10 hours51 minutes
Total174 hours21 hours, 33 Minutes

As you can see from the table above, you’ll be going through a proper 8-course program, with each course covering topics from the 6 phases of data analytics and data analysis, which is pretty comprehensive for someone learning data analytics for the first time.

This is especially useful for tougher topics like R programming, which can be tough for those coding for the first time. A good structure can really be a good motivator for learning.

Each course has an average of 20 hours of learning and an average of 175 minutes of video lectures. Based on my own experience, I found this ample time for me to absorb all the knowledge required.

Varied Learning Content

The course has many styles of learning content for anyone to learn from! Here are the different types found in the course:

  • Videos
  • Readings
  • Ungraded External Tool: Qwiklab
  • Discussion Prompts
  • Practice Quizzes
  • Quizzes

The courses provide a varied style of content delivery, which is well structured according to Coursera’s hosting platform.

The table below shows the breakdown of the number of content pieces for each content type, according to the courses, do check it out!

Email Reminders to Motivate You

There are even email reminders from Coursera to help keep you motivated and up to speed with the recommended completion timeline!

5. Includes Access to Career Resources

At the end of the entire certification program, you’ll be given 3 main career resources which can be useful for your job applications.

Here they are:

  1. Google Certs Coursera Job Platform
  2. Careercircle
  3. Big Interview

Here’s what they showed me when I completed the completion survey:

Google Certs Coursera Job Platform

This is the main career platform by Coursera that is offered to Google career certificate graduates who have achieved the Professional Certificates offered by Google.

Of course, this includes the Data Analytics Professional Certificate holders too!

This job portal shows listings that are exclusively available to those who have completed the certification. This means that job positions posted here welcome certificate holders rather than the usual college degree requirements.

Data analysts are quite different from BI analysts, and that’s something many beginners would not know about. So do look out for both of such roles while you’re on the platform.

For example, have a look at a screengrab of a job listing below for a Data Analytics Associate position

The screenshot below shows the qualifications they require. Not the Grow with Google Analytics Certificate – this means that the data analytics professional certificate you earned will help!

To learn more about Grow with Google, check out this link.


This is the second career site that was recommended to me by Google after completing the certificate. It’s a portal that connects you to US employers so if you currently live in the US, this might be a good resource for you.

Big Interview

Another useful resource for learners of the Google Certificate is a 1 year-long access to Big Interview. This platform provides you with interview prep resources like videos on improving your interviews, practice interview tools, and more!

This might be potentially handy if you’re looking to improve your interviewing skills to land that data analyst or data scientist job.

6. Includes a Capstone Data Project

At the end of all the learning content lies a capstone challenge in course #8. This capstone data project is an optional project recommended by this certificate that will cover all the data skills from the previous lessons.

Learners can choose from either Case 1, which is a guided project from Google, or Case 2, which is a self-sourced data project.

Either way, you’ll be looking at improving and consolidating your knowledge pretty well through this capstone project!

Also, this can be a great addition to your project portfolios!

Curious to know how long a data science project can take?

Check out my other blog post over here.

7. Includes Access to Learning Community

Each course is broken down into weekly community discussion threads that are actively used by the learning community of the data analytics certificate.

With discussion prompts throughout each lesson guiding the forum discussions, this can be a great platform to get to know other like-minded data learners just like you!

If you’re looking for other data science communities, check out my post on the top data science discord servers here.

Related Questions

Is the Google Data Analytics Certificate Worth The Cost?

The Google Data Analytics Professional Certificate is worth the cost of USD $39/month because of the accreditations, flexibility, and career opportunities it provides. Compared to other similar certifications, it is a cheaper option without compromising quality content.

This certification definitely brings so much to your data analytics career because of the value it provides upon completion.

Let’s have a deeper look into why I would say that this certificate is worth the cost.

Price Comparisons

Google Data Analytics Professional CertificateIBM Data Analyst Professional Certificate Cloudera Certified Data AnalystMicrosoft Certified: Data Analyst Associate
TypeOnline CourseOnline CourseCertification ExamCertification Exam
Career ResourcesCertificate holder-only career portalsNoneNoneNone
Approximate Duration6 months11 months
Total Price$234$429 $295$165

Although not the cheapest, the Google Certificate is able to provide a structured learning program and other useful career resources after completing the program.

The certificate has great flexibility through online content delivery, lots of career resources after completion, and relatively cheap prices!

Want to know more about the IBM Data Analyst Certificate and why I think it’s also worth it?

Read this article here!

How Much Does the Google Data Analytics Certificate Cost?

The Google Data Analytics Professional Certificate costs USD $98. The certificate is charged based on 2 ways: a monthly subscription at $39/month and a fixed cost of $98 for 3 months or $117 for 6 months. However, since most learners complete it in 3 months, the certificate will cost $98 in total.

Check out a quick summary table of the cost I calculated below!

Certificate Completion TimeTotal Estimated Cost (USD)
7 days$0 (Free trial, no certificate)
1 Month$39
2 Months$78
3 Months$117 (Best estimate)
4 Months$156
5 Months$195
6 Months$234

Although the approximate timeline for learning is 6 months, the price for the cost can be much lesser depending on your learning speed.

Due to the subscription model of this certificate, the faster you go, the less you pay!

The cost price of the certificate may be reduced if you buy through a promotional affiliate link too! So do look out for that from your favorite data science writer/YouTuber.

Else, you can use mine here (affiliate link).

Coursera Scholarship

If the price for the certificate is too steep, you might consider applying for financial aid through the Coursera Scholarship! This is a program that gives some financial help to those who satisfy their criteria.

How Much Did I Spend on the Google Certificate?

I spent a total of $78 USD to complete the Google Certificate. I paid for the first 2 months at $39 USD each after my 7-day trial period ended.

Can You Actually Get A Job From Completing This Certificate?

Holders of the Data Analytics Professional Certificate from Google should be able to get a data analyst job upon completion of the certificate program. Although jobs are not guaranteed upon completion of the certificate, essential data skillsets taught in the course fit most entry-level associate data analyst position requirements.

To further prove my point above, let me share with you more about a real success story I came to know of!

So here’s how it went:

After I completed my certificate, I decided to join the learning community on a Linkedin group. In one of the posts by a fellow member, it was shared that the program has helped him is his data analyst skills to land his first job as an analyst!

How amazing is that!

What an amazing success story right? You can check it out at this link over here.

If you’re interested, you can also check out the Linkedin group at this link: Linkedin Group

Coursera Impact Report 2020

If you’re looking at evaluating the career success of previous certificate holders, a good place to look is on Coursera itself!

Here’s the data:

Based on data from the Coursera Impact Report 2020, professional certificates were proven to have a career impact!

Although this data mainly refers to the result of the IT Support Professional Certificate, I strongly believe that the results will be similar for the Data Analytics Professional Certificate as well.

How Long Will it Take to Complete the Google Data Analytics Professional Certificate?

It will take 2-3 months on average to complete the Google Data Analytics Professional Certificate. This will vary depending on having previous data background, learning speeds, and hours committed per day. Although Google suggests a 6 month completion time, most finish the program earlier.

The learning process is different for all individuals because of the additional commitments like work and family.

And that’s fine!

Not everyone will be able to complete the whole program within the average time of 2-3 months. Even Google understands that and suggested a solid 6 month completion time!

Because this course includes R programming, do read my post on how long it takes to learn R over here.

If you’re curious about how long it will take to learn Tableau, check out my other post here.

If you have previous knowledge or work experience in some aspects of data like spreadsheets, you might be able to move faster and complete the program ahead of time.

However, this certification should not be rushed because of the importance of getting the foundations right.

How Many Hours Does the Google Certificate Take?

The Google Data Analytics Certification takes 174 hours to complete. The certificate includes 7 courses with an average of 20 hours of learning each. The certificate also features about 21 hours’ worth of video lecture content. and an average of 175 minutes of video lectures for each course.

How Long Did Other Learners Take to Complete the Google Certification?

Again, I took to Linkedin to find out more from others about how long others took to complete their certificates to help you better estimate your time and cost!

Here’s the post I made in the same group.

Here are the results! As it turns out, most learners took about 2-3 months to complete the entire certification program.

How Long Did I Take to Finish the Google Certificate?

I took a total of 9 weeks to complete the entire Professional Certificate program. This took much a much shorter time than suggested by Google because I was waiting to start my first full-time job after completing college.

I had spare time on my hands and could go faster!

As you can see from the screengrab below, the approximate time suggested by Google was 37 weeks to finish up all courses.

Who Should Take This Certificate?

Aspiring data or business analysts who need the flexibility of self-paced online learning should take the Google Data Analytics Certification. However, the certificate is also a good refresher on topics across the data analytics field.

The content delivery method of the certificate is fully online and is perfect for those who need flexible learning time. These include those currently working a full-time day job, full-time students, and stay-home parents.

I would recommend this course to anyone who aspires to be a data analyst and has the spare time to build up a solid credential for their portfolio.

Who Should NOT Take This Certificate?

Individuals who only want physical classes for learning, those who intend to learn Python from the course, or do not aspire to be data professionals should not take the Google Data Analytics Professional Certificate.

Due to the online nature of the program, traditional classroom settings are not available. This means that individuals who only want physical classes for their learning should not be taking this certificate.

Anyone who is intending to learn Python should not take this course as it is not covered.

Also, any learner that is unable to commit many hours of learning should avoid this certificate for the time being because of the intense time-heavy content of the course.

Is The Google Data Analyst Certificate Easy?

The Google Data Analytics Professional Certificate is not easy. The Google Data Analytics Certificate covers a wide variety of data analytics topics new learners would not find easy. It requires constant effort in learning. However, the Google Data Analytics Certificate is worth getting for its in-depth content.

Is The Google Data Analytics Professional Certificate Hard?

The Google Data Analytics Professional Certificate is hard. The Google Data Analytics Certificate covers topics in data analytics that first-time learners would find hard. It requires dedication to learn by watching lectures and coding exercises. However, the certificate is worth getting for its rigorous curriculum.

Are Google Certifications Worth It?

Google Certifications are worth it. Google Certifications typically have well-structured courses with helpful video lectures. These certificates are becoming more well-recognized among employers than traditional degrees. Although Google Certificates are delivered online, they are priced affordably at USD $39/month.

Thinking of trying out other options like bootcamps instead of this online course and want to know if they’re worth it? Read more on my answer here.

How Do I Get Started With The Google Certificate?

Before you get started, here’s an overall introduction to what the course will offer for learners! Do check it out.

To give you a better idea of what to expect from the videos, here’s a preview of the Data Analytics Course!

You can enrol and start your free trial of the Google Data Analytics Specialization through the link below. Use my link below to help support the site(at no extra cost to you). Thanks!


You can enroll for a Coursera Plus Membership, which includes 90% of all specializations and courses, INCLUDING the Google Certificate, at $59 USD/month.

Final Thoughts

This is a great course for beginners who want a broad-based course on data analytics that covers a good basic introduction to both soft and technical skills, all for an affordable price of $39 USD/month.

I would say that this course is well worth it! If you’re looking to start your data analyst career or transition into analytics, the Google Certificate is a great way to start!

I hope this Google Data Analytics Certification review has been helpful to you, thanks for reading!

My Favorite Learning Resources:

Here are some of the learning resources I’ve personally found to be useful as a data analyst and I hope you find them useful too!

These may contain affiliate links and I earn a commission from them if you use them.

However, I’d honestly recommend them to my juniors, friends, or even my family!

My Recommended Learning Platforms!

Learning PlatformWhat’s Good About the Platform?
1CourseraCertificates are offered by popular learning institutes and companies like Google & IBM
2DataCampComes with an integrated coding platform, great for beginners!
3PluralsightStrong focus on data skills, taught by industry experts
4StratascratchLearn faster by doing real interview coding practices for data science
5UdacityHigh-quality, comprehensive courses

My Recommended Online Courses + Books!

TopicOnline CoursesBooks
1Data AnalyticsGoogle Data Analytics Professional Certificate
2Data ScienceIBM Data Science Professional Certificate
3ExcelExcel Skills for Business Specialization
4PythonPython for Everybody SpecializationPython for Data Analysis
5SQLIntroduction to SQLSQL: The Ultimate Beginners Guide: Learn SQL Today
6TableauData Visualization with TableauPractical Tableau
7Power BIGetting Started with Power BI DesktopBeginning Microsoft Power BI
8R ProgrammingData Science: Foundations using R SpecializationLearning R
9Data VisualizationBig Book of Dashboards

To see all of my most up-to-date recommendations, check out this resource I’ve put together for you here.

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