By Hamza Bailla
During the COVID-19 pandemic, Google recognized the need for standardized internal training for its entry-level data analysts. To address this, Google developed a six-month training program with eight modules designed to help individuals with little to no background in analytics gain the skills to work as entry-level data analysts. After collaborating with Coursera, Google launched the Google Data Analytics Professional Certificate for the general public, which could not have come at a better time for learners looking to enter this growing industry.
In 2021, I was working in the healthcare sector and had just graduated with a master’s degree in communication. With a strong interest in analyzing survey data and quantitative research, I saw an opportunity to expand my skill set when I discovered the certificate included an R programming module, especially with my intrinsic boredom when doing all manual tasks except running.
This certificate played a role in helping me land my first job as a data analyst when I moved to Canada and prepared me enough to do my assigned tasks. When the Google Advanced Data Analytics certificate was released in 2023, Generation1.ca’s Founder and CEO first encouraged me to share my review after completing both certificates, with the goal of helping those looking for data jobs among Generation1.ca’s membership and all those new to North America.
Access this wheel of some common features (similarities) between both certificates:
Practical Skills Beyond the Classroom
I guess you must have experienced certificates full of dry content where courses were designed to delve directly into learning the hard skills without much context or practical application. However, Google made an effort to take a different approach by including material on real-world job situations including practical skills like managing projects, handling analysis requests, supporting colleagues who may be struggling with deadlines, and caring about ethical considerations. Additionally, both certificates provide resources to help learners craft their own resumes, search for jobs, and prepare for interviews with potential employers.
Fun and Inspiring Learning Atmosphere
The certificate course teachers were selected —or perhaps guided—to be cheerful. You feel that they are friendly and trying their best to make the courses, to some extent, fun. They share personal and professional stories that add inspiration and make data analysis more appealing and relatable. Who said that numbers and charts can’t be fun?
Entry-Level Oriented Materials
Becoming a great data analyst does not happen immediately after completing a certificate—or any program, for that matter. The analytics field is, by nature, a fast-evolving industry and professional data analysts work differently in a myriad of sectors or positions. But don’t get me wrong, the content sets you up for success to start at an entry-level position if you that’s where you want to break into the market. You get to learn most of the used jargon in the data field, and the basics of how to think as an all-rounded data analyst, who can plan, collect, clean, and visualize data.
Hands-On Exercises
In most technical courses, exams are typically used to assess or guide your understanding. However, these certificates go further by incorporating numerous hands-on activities at every stage, allowing you to practice by writing code, explore datasets or work on visualizations. At the end of both certificates, you have a dedicated module where you complete a project from start to finish, giving you valuable experience and a showcase piece for your portfolio.
Transferable Skills for Multiple Platforms
These Google certificates promote some Google services, such as Google Cloud services, and can seem like Google services training. However, most of the learned skills are transferable to other services. For instance, mastering Google Sheets is directly applicable to using Microsoft Excel. Otherwise, other taught tools are not owned by Google like Tableau, or by any company like R programming language, which is open-source, making them versatile assets for any data analytics role.
Budget-Friendly with Financial Aid
Both certificates are affordable. I can’t give you an exact estimate as it depends on your pace, since it’s a monthly subscription to Coursera. If you can dedicate around 10 hours a week, you may be able to complete the program in under six months. Coursera also offers financial aid, where you can fill out an application form to receive financial support for each certificate’s coursework.
Community Based and Support
Data analytics is a continuous learning journey, and the certificates play on that cord. In each course, you get to join the group course to ask questions or to participate in a discussion. In addition to the vast resource links shared by instructors to participate in data analysis communities, they also encourage learners to partake in visualization challenges or data hackathons.
Recognition as Academic Credit
The Google Career Certificates offer a recommendation from ACE® of up to 15 college credits, the equivalent of 5 college courses at the bachelor’s degree level. Many North American universities, such as Northeastern, Purdue University Global, and the University of North Texas, are accepting Google Career Certificates as credit and you may save time and money from that.
Let’s now explore the specifics of each certificate. The Google Data Analytics Professional Certificate serves as an introductory program for aspiring data analysts (it also includes some SQL teaching you how to query data, prepare and clean it). Whereas the Google Advanced Data Analytics Professional Certificate builds on this foundation to prepare learners for entry-level data science roles. The advanced certificate requires learners to complete a preliminary assessment to ensure they have the necessary background before beginning the program.
The table below provides an efficient comparison of courses included in both certifications:
| Google Data Analytics Professional Certificate | Google Advanced Data Analytics Professional Certificate |
| Foundations: Data, Data, Everywhere | Foundations of Data Science |
| Ask Questions to Make Data-Driven Decisions | Get Started with Python |
| Prepare Data for Exploration | Go Beyond the Numbers: Translate Data into Insights |
| Process Data from Dirty to Clean using SQL | The Power of Statistics |
| Analyze Data to Answer Questions | Regression Analysis: Simplify Complex Data Relationships |
| Share Data Through the Art of Visualization | The Nuts and Bolts of Machine Learning |
| Data Analysis with R Programming | Google Advanced Data Analytics Capstone |
| Data Analytics Capstone Project: Complete a Case Study |
Google Data Analytics Professional Certificate
The first two courses are comparable to research introduction courses that are offered by many universities and colleges. They aim to develop an investigative, scientific mindset to ask questions, look for data sources (primary or secondary), generate hypotheses, and analyze data to find answers.
The rest of the courses focus on practical data skills. You’ll learn to prepare data, clean, and select applicable data to answer specific questions, using Excel or Google sheet then apply all these skills using R programming to scale on large amounts of data or to automate processes. The certificate also covers visualizing data through Tableau and R to introduce you to how to effectively present data insights.
Google Advanced Data Analytics Professional
As you may have noticed, this certificate keeps a similar structure to the previous one with an introductory course at the beginning and a project at the end, as well as two advanced modules. However, it uses Python instead of R, a choice that cements the future of Python as a leading language for machine learning.
Admittedly, I am biased toward Google certificates, as these are the only ones I’ve studied. These are not the only professional data analytics training on the market—IBM, Microsoft, and others offer similar training. As a—future—data analyst, you should do your own research to explore and compare different programs to find the best fit for your goals. You can always reach out to your very own professional community association, Generation1.ca, for more such resources and opportunities to upskill and become future-ready innovators with their credential! I say this as someone who has not only attended and valued their recurring virtual career fairs as a former jobseeker, but also as a past judge of their case competition and also panelist on their morning discussion on the future of skills sharing my professional journey to mastery with newcomers.
Hamza Bailla is a passionate data enthusiast with a strong interest in exploring the intersection of media, social sciences, and data. Throughout his journey from his hometown in Marrakech, Morocco to his current home in Ottawa, Canada, he has delved into various fields ranging from healthcare to social sciences, where he has conducted both quantitative and qualitative research. His ultimate goal is to leverage the power of data to enhance analysis and improve decision-making. He remains committed to automation and analytics in his work and highly recommends Generation1.ca’s career-enhancing activities and opportunities to help you build your portfolio and grow your networks as you navigate a new continent and earn Generation1.ca’s credentials.
1 Comment