Hearted Youtube comments on Shane Hummus (@ShaneHummus) channel.
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It's been 4 years since graduating with my computer engineering degree. Pay is amazing. Benefits are amazing. Flexibility is amazing. The projects are (usually) interesting. There are so many openings in computing. There are so many business opportunities as well. It's absolutely insane! I think companies are really, really desperate for talent right now. I got lucky ending up in Silicon Valley but there is no doubt in my mind that the degree is extremely lucrative anywhere in the developed world. At my university, computer engineering was 85% computer science, 15% electrical/electronics engineering. It's functionally equivalent to computer science as far as the industry is concerned. I chose to take robotics electives in school but don't actually use those skills in my job. I'm just a standard software developer/engineer. Haha.
I have a friend who went the boot camp route and struggled a lot in the field, being the first target during layoffs and having to learn A TON of stuff that boot camps just don't cover. With some tutoring and some years of on-the-job training he is doing OK now, too. I'd definitely recommend the degree route as it lays the complete foundation and gives you the flexibility to learn about some of the more advanced specializations like machine learning, artificial intelligence, programming languages, computer graphics, game development, distributed systems, and more in a controlled learning environment with ample timing before jumping straight into the subset of the industry you're interested in.
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I finished the Google Data Analytics cert on February 28, 2022. I didn't know any data analytics before that, and I was in a health-focused master's program but I wanted tech skills to supplement what I was learning in school. The class gave me a good intro to data analytics.
I then took a data analytics course through my master's program where I did a bunch of Excel projects focused on healthcare data and added them to my portfolio. Then, I had to do a Power BI dashboard for another class in the master's program and added that to my portfolio. Finally, I took extra SQL classes but then realized that a certain kind of SQL platform is used most in healthcare, so then I specialized in that software.
In January 2023, I had 5 data analyst interviews and just landed a job at a health insurance company, and the job pays $84,000 a year. I still haven't completed my master's degree, but I think the combination of the data skills and being in the master's program helped me get the job. This is what I realized helped me most on this journey:
1. Take extra classes to supplement the Google class - ex. Excel courses, SQL courses
2. Specialize in a certain SQL platform if you want a job using SQL
3. Have portfolio projects that showcase your Excel skills, data viz skills, and SQL skills
4. Focus on getting very good at SQL because it's the most important data analysis skill. The Excel skills and data viz skills are still a good foundation for data analytics so don't completely neglect them but definitely focus on getting very good with SQL.
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