My Experience with the Google Data Analytics Specialization Certificate Program

I'm thrilled to announce that I've completed the entire Google Data Analytics Certificate Program on Coursera ! Going into the course with adept technical skills, I can confidently say that while the beginning of the program was an extremely slow start, the time and effort invested were certainly worth it. It took me about 5 weeks to finish the entire program, dedicating 15-20 hours per week. I know many people out there are curious about the value it brings both from a learner's and employer's perspective, so here's a breakdown of my experience with the entire program.

Bottom Line Upfront:

To get the most out of this program, you'll need to put more effort into further learning and independent applications of the concepts than into the course itself. I'm not going to pull any punches; most of the 'projects' and 'assignments' are hand-held walk-throughs, with the strong exception of the capstone project. While the certificate program takes every opportunity to encourage learners to apply the knowledge gained to independent initiatives, mastery or even simple independent application of the content is certainly not required to complete the program. The projects are essentially tutorials, and most of the quiz/test questions are either easy or semantic. I've heard anecdotes of people completing this entire program within a couple of weeks or less, but I'm curious to know what skills they truly gained and what knowledge was actually retained from it.

Should I skip straight to the advanced program?

This is, of course, a question of personal preference and ability. Disclaimer: I haven't taken the Google Advanced Data Analytics Program yet, but I frequently asked myself this throughout the entire first program. After doing much research into the Advanced Program, I suggest asking yourself these questions: Are you more interested in gaining technical skills than soft skills? Do you have experience with reading technical documentation and solving problems independently? If you've taken similar courses in the past, did you find them too easy or fluffy? If you answered yes to 2/3 of these questions, I strongly recommend looking into the Advanced Program. The first program (Google Data Analytics, the 'basic' program for lack of better terminology) also clearly states this consideration and encourages users to give it due thought at the beginning of each of the 8 courses. For my #upskillingjourney, I'll be diving into the Google Advanced Data Analytics Program straight after brushing up on my statistics and probability skills for FREE on KhanAcademy, my absolute favorite online learning platform. I really can't recommend this site enough!

Should I hire a person because they have this certificate?

Good employers don't need me to answer this question for them. Just in case, though, the unequivocal answer is NO. Look at the time they spent on each course in the program. Did they complete it in 5 hours? Then they didn't actually complete it. More importantly, look at their case studies and capstone project. Did they go above and beyond? Don't hire them because they completed the certificate program; hire them because they used the program to accomplish something more important.

My favorite part of the program:

For me, this is a tie between the final two courses: Using the R Programming Language for Data Analysis and the Capstone Project. I particularly enjoyed the section on R because it challenged me more than any other. With no prior experience in programming with R, every lesson and project stretched my problem-solving skills and taught me something new. However, I believe this is primarily due to my innate desire to take every project and application a few steps further than what is outlined in the lessons. This was actually an overarching theme of my entire experience with the program. I can't count the number of times I would complete a tutorial, then say to myself: "Great, but this would be more useful/applicable if X component of this actually had Y thing done to it." I would then, of course, spend significantly more time googling and reading documentation to figure out how to do Y thing. Many times, I would also discover that Y was covered in the very next lesson of the course.

The Capstone Project:

The capstone project completely drops all 'hand-holding' and expects students to use all of the resources available to them to outline a case study and take it all the way from conception to presentation. The capstone course offers students the choice between two paths: tackling a pre-built business task, or 'choosing your own adventure'. Of course, I had to choose my own adventure. Having been working on a large analysis project alongside the entire program, this was the obvious choice for my self-created case study. I can confidently say that I chose the more difficult route, and I'm glad for it. Going back to the bottom line, if you're in this program for anything more than just a digital certificate, you're going to be spending more time and effort on your own initiatives than what the program requires of you.

My Case Study:

My current in-depth case study, which I used as a springboard for the Capstone Project of the Google Data Analytics Certificate, is a Gap Analysis and News-Cycle Correlation of the VAERS database archives during the later phases of the COVID-19 Pandemic. The Vaccine Adverse Event Reporting System is a passive, anonymous, public-facing surveillance system created by the CDC to inform public safety initiatives and vaccine manufacturer quality control. This capstone, which is only an initial step in the full project: identifies the gap between the current and ideal state of VAERS, achieves correlation analysis of incomplete and outlying reports during the pandemic, and provides actionable recommendations to substantially improve the quality and usefulness of the VAERS system to vaccine manufacturers and private taxpayers. The full project, with a roadmap and extensive documentation, is available on this GitHub Repo! Check it out and let me know if you have any feedback!

Was it worth it?

Absolutely, but only because I put in the extra effort to make it worth it!

#growwithgoogle #learningjourney #upskilling #coursera #dataanalytics