Hi everyone, I’m currently studying data science, but I’ve been hearing that the demand for data scientists is decreasing significantly. I’ve also been told that many data scientists are essentially becoming analysts, while the machine learning side of things is increasingly being handled by engineers.
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Does it still make sense to pursue a career in data science or should i switch to computer science? I mean i dont think i want to do just AB tests for a living
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Also, are machine learning engineers still building models or are they mostly focused on deploying them?
Hi everyone, I’m currently studying data science, but I’ve been hearing that the demand for data scientists is decreasing significantly. I’ve also been told that many data scientists are essentially becoming analysts, while the machine learning side of things is increasingly being handled by engineers.
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Does it still make sense to pursue a career in data science or should i switch to computer science?
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Also, are machine learning engineers still building models or are they mostly focused on deploying them?
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From what I know, computer science is the more respected and recognized degree and having a CS degree can get you every job a data science major is able to get. What is the point of doing a data science degree when you can do the OG degree instead?
I was planning to post this in r/datascience but I don’t have another comment karma yet to do so.
I’m currently a senior in high school planning on going to community college post-graduation despite getting accepted to every school I’ve applied to as a CS major (CPP, SDSU, CSUSM) in order to save money. After taking a course at school and a program online, I’ve decided that Data Science is the branch of CS that I’m most interested in pursuing at the moment. I’m not entirely sure what career I want specifically yet, but something along the lines of Data Analytics, Data Engineering, Statistics, and Healthcare seems up my alley.
I’ve come across mixed opinions on the Data Science degree. Since it’s still a fairly new degree, there’s not much consensus yet as to whether it’s just as valuable as earning a B.S in Computer Science or Mathematics. While I’ve heard more people who have gotten into Data Science jobs with a Computer Science degree, it is currently very difficult to transfer from CC to University as a CS major due to how impacted it is. My initial plan with choosing CC was to complete my lower division requirements and IGETC courses via community college so I can transfer into University. The classes I’m required to take as a transfer for CS are very math heavy and much more difficult than typical high school classes. The acceptance rates for transfer students while slightly higher than college freshman are very low to the point where even students who have a 4.0 GPA are getting rejected.
I was told I’m better off majoring in Data Science or Mathematics instead because of competition. But given how saturated CS currently is, does this mean Data Science degrees will become redundant in the near future? If there are thousands of Computer Science students who aren’t getting interviewed for jobs, then how bad will it be for Data Science majors in a few years?
I’m still certain this is the field I want to pursue, however, I’m not sure if I’m making the right choice by going this route. I’m planning to transfer from CC within 2 years, but I’ve got to play my cards right. Will choosing Data Science as a degree be a mistake? Should I still apply to some safety schools with CS as my main major? Or is it still going to be nearly as employable as a CS degree if I put in the work (do internships, projects, etc.)
I have seen many people in this thread/channel discuss the importance of stem degrees to get into the field. I currently have a bachelor's degree in Sociology with foci on data science and data analytics.
I have the opportunity to get a reduced tuition degree, and I'm thinking of getting a data science degree.
First question - is it worth going back to school to get another degree if i want to enter into data science at some point and not just data analytics?
Second question - If I go back, should I get a second bachelor's in Data Science or add to my current bachelor's and get a Master's? Would there be a difference in what I'm learning per degree? Would one look better/sound better? Does it matter which one I get?
Third question - should I consider something outside of data science as a degree?
Thank you so much!!!!
Hello guys. I'm a grade 12 student and I'm really confused about my major. Recently I'm thinking about data science. But the problem is some people are keep talling me that it's not a good major/It doesn't have good future which makes me really very sad and confused. Is there anyone who is studying in this sector and have idea about it. I would really appreciate it if someone give me information regarding this. Thanka in advance!
I'm thinking about majoring in data science. Please advise me on what I should focus on.
I’m still deciding on which degree to pursue and doing some research before I commit. Everyone keeps saying that data science is the future and will be in high demand, but I'm hearing mixed opinions. A lot of students are shifting their focus to data science, but there’s also a lot of competition.
I’m planning to pursue a master's or PhD abroad after my bachelor’s (US or Europe), but I want to know: Is data science really the career of the future? Will it be the highest-paying job in the coming years, like some YouTubers claim? Is it really as big of a deal as people make it out to be?
I’d appreciate hearing your thoughts, especially from those already in the field.
And if it wasn’t for DS, what profession will you be in?
Hello everyone. I’ve just finished HS and would love to get into a data analysis career in the future.
I’ve been offered a spot in a Data Science bachelor degree but I’m not sure if it’s worth it to go.
I’ve seen some people say you can enter the job market with certificates and experience but I expect there would be a ceiling without a degree?
What do you guys think
I am a student who got accepted to Wisconsin Madison as BS computer science and UC Santa Barbara as a BS Data science.
I am wondering which degree to pursue. I want to be a software engineer in the future. But I was also thinking to be a backend engineer or product manage in the future.
Lots of advices I took from people are usually “DS and CS is basically the same thing. Just choose based on the school.”
UW Madison and UCSB are both top 30ish school. Which one will help me more in a resume in the future when I am looking for a job?
Lots of people also told me negative aspects about Data science degrees. Since you can get CS job with a coding test, I thought DS degree would be more useful.
I want to hear some thoughts from professionals.
As a practicing software engineer with B. comp sci + econometrics minor, I was recently speaking with a PHD graduate who was working on ML models in an organization after graduating. He told me that he would rather higher software engineers and train them on DS topics rather than higher DS graduates.
I am wondering whether this is a common take in this industry, as I was thinking in the future of furthering my study with MSc Data science.
Hello everyone. I just graduated HS and am now looking into some university courses. I had a few people recommend me Data Science but I wanted to hear opinions from people who are more in the tech field since they would have a better understanding of the job market and courses. Thanks!
Hi my uni is offering Computer Science degree with a Data science route/specialization bachelor degree. I'm stuck between choosing civil and environmental engineering vs cs and data science major i have been hearing pretty negative stuff about the job market and unemployment in cs is it the same for data science? yes a lot of u would comment go with u have passion for honestly im not quite sure about that i want job security and a job right after grad i heard there is more demand less supply for civil engineers i can always go for a master in data science later most of the engineers ik did data science after undergrad
Hello everyone! I am a 22 years old Data Scientist and recently graduated with my B.S in Data Science from a lesser-known state school. My job has been going pretty well, I find the work interesting although I am mostly doing data analysis tasks rather than ML/DS, and I make a comfortable salary in a HCOL city. I'm not sure if I want to be a Data Scientist forever, but recently I have been thinking more about my career path/future plans.
My parents also work in tech (program manager and software developer) and have been pressuring me about getting a Master's as soon as I got my first job. They claim that it is the new Bachelor's, it is necessary for career progression, and if I don't get one soon I will fall behind in my career. They also want me to start doing some DS certifications to be more competitive for my next job but I'm not sure if this would be a very valuable use of my time or make any meaningful impact.
I’m planning to look for a new job and move closer to my significant other in about two years (Chicago area). At that point, I’m considering starting a Master’s in Applied Stats or Data Science, but I’m not entirely sure if it’s the right move or if my experience will be enough to progress without it.
I’d love to hear from people in similar positions or with experience in the field:
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Is a Master’s truly essential to stay competitive, or can experience and on-the-job learning be enough?
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Have any certifications really helped you stand out or advance in your career?
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Any advice on timing or alternative paths for someone with 2 years of experience in data science?
Thanks!
Not sure if this is the best place to write/ask this. Not trying to break any rules just get input and advice.
I currently hold a BS in biology and Doctorate in physical therapy. So I’m not looking to return to school. I currently work in home health and this setting like majority of healthcare sectors are very data driven as it impacts their reimbursement.
I really would like to transition into a data science role. Not sure how to go about this. My timeline is to learn the required skills and build a portfolio over the next 3 years.
Is this realistic? Achievable? Is the work y’all put in worth the pay?
Why not start with physical therapy research where data is a strong component? Then you leverage your background knowledge in healthcare and you pick up the relevant skills along the way.
Here’s how to do it: go over what you have to learn for DS, or what they offer in a course, and learn that (for possibly free) online. What I’m currently learning or recommend is: SQL, stats, Python, R, Power BI, Tableau, Excel obviously. And some other stuff idk.
But you can look up “SQL for data science” “Python for Data Science” “Stats for data science” (probably the most important 3) and there should be free courses on the subject and you could probably learn pretty fast at your own rate. The bootcamp I’m taking is honestly pretty slow, even with 12 hours a week that’s around work hours. You could probably go much faster on your own
Context: I have some work experience and have freelanced in this field - Built data pipelines(data engineeiring) and BI dashboards. Mostly inclined towards Azure. I have some other clients as well that are related to that of a software architect. I am considering my options to see if a masters can give me a significant jump.
Does it necessarily give me an edge? Alternatively, what's the next best thing to do if not a Masters? Would it be working on projects and building my portfolio?
Hi,
I'm a recent grad with a B.S. in Statistics and Data Science from a U.S. university, and I’ve been having a tough time landing a job.
I’ve been thinking about applying to grad school so I can keep building skills while I’m unemployed, but I don’t want to waste time or money on a degree that won’t be relevant in the next few years or help long-term. I’m also open to pivoting if data science isn’t as sustainable as it used to be.
For anyone working in the field, what master’s degrees are actually worth pursuing right now? Which ones still hold weight or will stay relevant in the future (Data Science, Analytics, CS, something else)?
Appreciate any advice!!!
I will be pursuing my degree in Applied statistics and data science(well my university will be offering both statistical knowledge and data science).I have talked with many people but they got mixed reactions with this. I still don't know whether to go for applied stat and data science or go for software engineering.Though I also know that software engineering can be learned by myself as I am also a competitive programmer who attended national informatics olympiad. So I got a programming background but I also am thinking to add some extra skills. will this be worth it for me to go for data science?