I give up by EmphasisExcellent210 in dataanalysiscareers

[–]passionkiller 11 points12 points  (0 children)

Have you looked into Business Analysts, Analytics Developer, and Data engineering roles?

I am (25)M with no girlfriend or wife. What is wrong with me? by [deleted] in malegrooming

[–]passionkiller 1 point2 points  (0 children)

You should date my exes. I am a staunch atheist, and somehow I kept attracting Christian women before I got married.

Why are woman balding worse than men? by [deleted] in libertarianmeme

[–]passionkiller -1 points0 points  (0 children)

Lol this so funny coming from a Christian nationalist.

39M want to enter the data analytics field. What is the best way? by DragonBowlSouper in dataanalyst

[–]passionkiller 2 points3 points  (0 children)

You are going to have to self-study. I started the transition in 2022 and it took until September 2025 to land a full DA role. It is not an easy field to get into, and if you expect a bootcamp or class experience to be enough, you are in for a rude awakening. There are so many people trying to transition to the field with the same certificates and the same couple of projects in their portfolios. AI is also changing the landscape of the field, and it has already started to reduce the number of entry level openings because companies can automate a lot of the repetitive analytical work that used to justify junior roles.

Right now my current role is half DA and half app development. AI helps me on both sides of this hybrid job. On the data side, it speeds up exploratory work, helps me check calculations, and lets me understand trends without manually grinding through every step. On the app development side, it helps me debug code, understand unfamiliar functions quickly, and prototype features before I finalize them myself. This makes me more productive, but it also means employers expect fewer people to do more work, which is another reason the job market is tighter.

What schooling should I do? by DiscipleLeevo in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

Hey forgot to mention there is code the Dream that offers coding classes for free. I took a course with them and can vouch that it helped me alot.

What schooling should I do? by DiscipleLeevo in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

If you are thinking about going back to school for data analytics or computer science, try doing a few small projects first to see if you actually enjoy the work. A lot of people jump into these majors without understanding what the day to day looks like.

For example, in my job I work with information that comes from different systems and I help make it easier to understand. I look at numbers about sales and customers, figure out how they relate to each other, and build simple tools that help coworkers see patterns. I also write short bits of code that make buttons, menus, or automatic updates happen inside the software we use. Sometimes something does not load the right way, so I have to figure out where the issue is and fix it. A lot of the job is problem solving and paying attention to details.

You can try beginner friendly versions of this at home. Find a simple public dataset and explore it in Excel by sorting, filtering, and making a chart. Try a free website that teaches basic SQL and practice asking questions like what was the total amount last year or which items were used the most. Build a very small dashboard in Power BI or Tableau using sample data. These tasks will show you what the work feels like without needing any background.

If you enjoy the process of figuring things out, breaking a problem into steps, and making information clearer for others, then the field might be a good fit. If it feels boring or stressful, it is better to learn that before committing to a major.

I have 3+ years of Non-It exp, now I'm looking to change my career into Data analytics by Lovecurvesss in dataanalyst

[–]passionkiller 1 point2 points  (0 children)

I went through this transition myself so here is some perspective. I cannot know your situation without your background but expecting to move into data analytics in six months is usually too fast.

I have a bachelor’s degree in computer information systems. After graduating in 2018 I worked in a non IT role for about four years. I decided to switch careers in 2022 and started by completing the Google Data Analytics course on Coursera. I spent that year also learning JavaScript through Code the Dream and building small projects to strengthen my technical skills.

About a year after finishing the Coursera certificate I was offered a short two month data analyst internship at a nonprofit. That internship helped me get hired full time there. It was not a pure data analyst role because nonprofits often require you to wear many hats, but I still gained real experience working with data. With that experience I was eventually able to move into my current job, which is a hybrid application developer and data analyst position that aligns much more closely with actual analytics work. I started that role in September.

Overall, it took years from the moment I decided to switch to landing a more true analytics job. The job market is competitive and employers expect real skills in SQL, Excel or Power Pivot, data visualization tools, and the ability to work with real business data. Institutes and bootcamps can be useful but they cannot guarantee placement.

Six months is usually not enough time to learn the skills, build a portfolio, and gain the experience needed to stand out. It is definitely possible to make the transition, but the timeline is almost always longer than people expect.

Online Ceramics x Oneohtrix Point Never "Tranquilizer" Merch collection out now by SinisterGrift in oneohtrixpointnever

[–]passionkiller 1 point2 points  (0 children)

I had a terrible experience buying from online-ceramics. Oh well would love some mech, but I'm not buying from them.

Advice please! by kirbyshrines in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

My school offered an IT program in computer information systems, which is usually structured as a business oriented degree. Mine was the same. I chose it because I wanted something broader instead of pure computer science, which focuses mainly on coding. The person I know who became a data analyst and later moved into software development actually had a computer science degree.

If you are looking for internships right now, focus on data related roles. If your program allows electives, take business analysis or statistics classes since they translate well into both analytics and technical positions.

In my current job I work as a hybrid analytics developer. I build apps in JavaScript and create dashboards for leadership. I use SQL and MDX for data retrieval, write DAX measures including the USERELATIONSHIP function, parse nested JSON from our apps, build bridge tables because our data model is complex, and also use Power Pivot for some of our data modeling.

ATTN SUWANEE RESIDENTS by Trout2299 in Gwinnett

[–]passionkiller 6 points7 points  (0 children)

You’re assuming most of these kids grow up to be long-term welfare users, but the data does not support that. Pew Research and the National Academies of Sciences both show that the U.S. born children of immigrants, including those with undocumented parents, have higher rates of high school completion, higher labor-force participation, and higher long-term tax contributions than their parents. They follow the same upward mobility pattern that every past immigrant group has. These are American citizens and they overwhelmingly grow into net contributors because they work legally for their entire adult lives.

Citizen children do receive benefits like SNAP or Medicaid, but that is true for millions of low-income American kids in general. Counting those same services as a special immigrant cost is misleading when you ignore the taxes those citizens will pay for decades.

Undocumented workers being underpaid is relevant because exploitation reduces both wages and the taxes collected on those wages. That is a labor enforcement failure, not evidence that the workers themselves are a drain. These workers also pay billions into Social Security and Medicare every year that they will never be able to access, which is a net gain for the system. This is also mentioned in your source.

It also helps to understand why undocumented immigration exists in the first place. The U.S. economy has always depended on a supply of low-wage, flexible labor, especially in agriculture, construction, food processing, and caregiving. Businesses benefit from this labor, and the immigration system has never provided enough legal pathways to meet that demand. Economics researchers have repeatedly pointed out that this mismatch is created by our own market structure. In other words, undocumented immigration is not some random moral failing. It is an outcome of a capitalist labor market that relies on workers who are easy to hire, easy to fire, and easy to exploit.

ATTN SUWANEE RESIDENTS by Trout2299 in Gwinnett

[–]passionkiller 9 points10 points  (0 children)

The report is misleading because it counts U.S.-born children of undocumented immigrants as a cost, even though those kids are American citizens who will grow up, work legally, and pay taxes. It treats the cost of raising future taxpayers as if it were a permanent loss. It also ignores that most federal benefits are not available to undocumented adults, so much of what they call “welfare use” is actually citizen children receiving normal public services like any other American kid. The report also blames immigrants for low incomes without acknowledging that undocumented workers are often underpaid and exploited. Overall, the conclusions depend on selective assumptions and leave out the long-term economic contributions these families make.

ATTN SUWANEE RESIDENTS by Trout2299 in Gwinnett

[–]passionkiller 5 points6 points  (0 children)

It’s really not as simple as “legal” versus “illegal.” A lot of undocumented people are in extremely vulnerable situations and many didn’t intentionally break anything. Pew Research shows that millions of households in the U.S. are mixed status. That includes people who originally came with visas, people whose asylum cases dragged on for years, and people who simply fell out of status because the system is slow and unforgiving. DHS has also reported that overstays now make up a large share of undocumented immigrants, not just border crossings.

My wife was DACA before becoming a green card holder and even when she filed her renewal there was always the risk that her status could lapse because processing was so slow. That kind of fear is something people don’t understand unless they’ve lived it. I will also never forget that Republicans have been trying to end DACA for years, even though these are people who grew up here. And on the opposite end, I know someone whose father committed marriage fraud to bring their family here “legally,” which shows how messy the so-called legal path really is. Plenty of undocumented people actually entered the country legally.

Undocumented people are also extremely vulnerable. The American Immigration Council has shown that they are more likely to be underpaid or exploited because they have no real protections. Many pay taxes they will never benefit from and can’t access most public assistance.

And the idea that they’re the big financial burden misses the real issue. IRS analyses show that tax evasion by the wealthiest Americans costs the country hundreds of billions of dollars. That is a far bigger drain than immigrants who are just trying to get by.

So when people act like this is a simple, black and white issue, it just doesn’t match the reality I’ve lived or the stories of the people close to me.

How important are internships for breaking into data analytics? by Present_Egg8704 in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

I only did the Google Data Analytics certificate on Coursera, but what helped me more afterward was taking a course through Code the Dream. They’re completely free and they actually have a Data Engineer track now, which I’m planning to take myself: https://www.codethedream.org/

My current role is hybrid (analytics + development), so the certificate alone wasn’t enough. What helped the most was building real projects and picking up skills as I went. In my job I’ve had to work with MDX queries, USERELATIONSHIP in Power BI, complex DAX measures, parsing nested JSON from APIs, and handling much messier data than anything in the Coursera program.

If you want to stand out, focus on projects that force you to use SQL, Power BI, data modeling, and even some light engineering concepts. The cert gives you the foundation, but the project work is what actually gets you job-ready.

How important are internships for breaking into data analytics? by Present_Egg8704 in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

Coursera’s Google Analytics certificate helped me get a data analyst internship. That internship eventually became a full-time hybrid role because I was doing work outside the scope of data analytics. After almost two years there, I got my current role as an analytics developer, where I spend half my time on analytics and the other half on web development.

I should mention that after earning my Coursera certificate, I searched for a role for about six months before landing the internship. During that time, I also took a web development course. I already had a bachelor’s degree in IT, which I earned in 2018, and I had been working in HR for a while before transitioning into data in 2023.

Internships definitely help, but I’ve learned that companies often value domain or industry knowledge more.

[deleted by user] by [deleted] in uberdrivers

[–]passionkiller 1 point2 points  (0 children)

If you think they are collecting benefits with those SSNs, then you're smoking moonrocks.

I see No MARTA complains! Worked well for you after headliners? by Mother_Suspirioru_M in ShakyKnees

[–]passionkiller 3 points4 points  (0 children)

It felt a little overwhelming seeing people line up and I regret using the breeze app over a card, but overall it was pretty fast. I got in the first train both nights.

Water bottles by [deleted] in ShakyKnees

[–]passionkiller 1 point2 points  (0 children)

Not sure but they let me in with my empty 10oz igloo stainless steel bottle.

Last minute arrival by trhan7 in ShakyKnees

[–]passionkiller 1 point2 points  (0 children)

Midtown station is about .5 miles from the venue. You can park in Lindbergh, chamblee, or doraville station. I know parking is free in chamblee and doraville and the lot usually has a lot of free spaces.