Data science certificate salary reddit.

Data science certificate salary reddit When people talk about getting a data science job without a grad degree, I think the general thought is that you can eventually become a data scientist, but you'll need to gain some experience first. I imagine the future would be “insert word here” and science attached to the back end of it. Would it be worth getting certified? One point I may add is that if you don't have a comp sci / mathematical degree or industry experience then don't waste your time applying for data science jobs. 151 votes, 138 comments. Also, someday, you will be the experienced veteran going after a different kind of job that you’ll be going after today. There is a common view that "if you need a certificate, then you can't really program, and if you actually can program, then you don't waste your time on certificates. 2 years after that I got senior and 3 years after that I got principal. Certificates are viewed as something a technician gets, not a "real" data scientist. 9K votes, 293 comments. Anyways as a Data Scientist with 4 years experience my salary progression (including bonuses) has been: That is a laughably small amount of time and I would rather bring someone onboard who has not yet learned bad habits coming out of a degree mill like this. I didn't want to bias the answers based on my background but I have a bachelor's degree in Data Science and Artificial intelligence and I am enrolled into a master's degree in Computer Science (major in AI). Hahah for sure. Universities are largely just trying to make money off data science degrees, undergrad or masters (most masters degrees are cash grabs). It's much better to start small with more simple courses. Career Switching/Job Guarantee: My case is very different to others in that my current employer was impressed by my projects and they also had some data science related work coming through. The Google course is more about Data Analysis so it goes deeper into the data analysis components. Instead, look for something else data-related, e. Very worth it. My guess is that it is easier to start in quant finance and pivot into data science than the other way around. Most are in software dev or data science. With both data science and software engineering I've noticed having AWS/Azure or some other cloud platform certifications can be huge for hiring and getting promotions/raises. MIT also offers pathways to other program after completing the MOOCS, even a pathway to PhD at MIT after their data science micromasters. Data Science Manager - 135k, lead that same NLP team I’ve been on Coursera and I’m interested in the IBM Data Science certification or the IBM Cybersecurity Analyst certification. I believe that stats is an excellent degree for becoming a data analyst in any industry, including healthcare. I am an actuary (ASA), who switched to banking/risk domain. I'm graduating from a data science ms program this year and nearly everyone has at least one good job offer already. If you've read about articles about how data scientists are making six-figures right out of school, those are either FAANG (top 5 tech companies) or research/development roles that require significant experience or education. There are so many free resources. ) My ultimate goal/dream job is to be a Data Scientist - currently a Data Analyst (As of the last 4 months). The jobs that the veteran PhDs are going after (and being considered for) are not the same as an entry level candidate. Georgia Tech also has a Master of Analytics that is suited for a data scientist, and Texas has a Master of Data Science. Maybe the top post that you've got is looking at data science certs in general, and not specifically cloud vendor certs. Everything on the web and internet is data! Computer Science helped lay the ground work for Data Science. Don’t pay. In banking/investments, in addition to data science/coding skills, graduate degree, If you add FRM certification, you get paid a lot. We would like to show you a description here but the site won’t allow us. Question 1. The IBM Data Science gives you basic data analysis skills, but is targeted towards Data Science so you're looking at statistical analysis of data as well as Machine Learning. As someone who just managed to land a Data Analyst role with no university degree, I can say to you it's possible. If I had to do it again I would have focused more on data science first than picked up the bioinformatics as the +1 degree. You are going to take a big cut. data analyst, business intelligence analyst, etc. I think the first step is to ask what exactly makes a machine learning certification worth getting. Just pause for a second and think of the word Data Science. IBM has an impressive-looking "Certificate of Achievement: Data Science Fundamentals for Business Analytics," though they don't specify exactly what that means you learn in order to achieve it . Nursing Systems Analyst - 52k, I was a data analyst and business analyst for a nursing department Senior HIM Epic Analyst - 78k, exactly what it sounds like. Someone with a few years of experience in an analyst role who has cursory experience building ML models is probably going to be more successful in a “standard” data scientist role than a recent college grad who’s handy with ML but has very little Personally for trading I prefer data science students over statistics. I'm only 23 years old and didn't have much prior experience(my finance degree helped but nothing else). Honestly UT - Austin is an incredible school regardless of the ranking. They use programming to automate the process of gathering and combining information. For reference purposes, I do not have a college degree or a particular desire to get one. I did pay for the course, and although I never used it professionally, I think it was worth it. Did you try data analysis before data science? I previously made such mistake and gave up easily. Also, there is a lot to be said about candidates with backgrounds in computer engineering/science, industrial engineering, stats, and even psychology if they did intensive 136 votes, 57 comments. Additionally, most companies don't want to be data driven, so you are pretty much going to be a glorified salesman. You mentioned somewhere else that you want to go into data science later on, and you'll need that "pure math" if you want to succeed in a good DS program. Definitely not, Data Science has been scamming starry eyed students since 2015 as the 'sexiest job of the 21st century'. It really depends on what you want to do in data science. Get involved in some of the online resources on YouTube (Base concepts: 3 Blue 1 Brown, StatsQuest), GitHub projects or online discussions (Daily Dev). How much does my nursing background bring to the table when applying for data analyst jobs. The jobs are very similar (professional jobs with high stress, hours and technical work). Already mentioned, ChatGPT is going to be able to give you general context. My goal is to complete all the certifications on Datacamp in the follwing order: DA Assosiate, DA Pro, Data science assosiate, Data science pro. The main thing to realize is that both are not equivalents. If you're really unhappy in accounting and think that data science will fix that unhappiness than you're mistaken. A degree is the starting point. Your degree will only get you the interview. I took a Data Science specialisation on Coursera, finished it, but ended up never worked on any data science projects. It is rare for DA to hit 170. A space for data science professionals to engage in discussions and debates on the subject of data science. immediately becoming a data scientist are different things. So I am a self taught data analyst currently working for cybersecurity company in nyc. FRM + Masters degree + coding skills (SAS/SQL/Python) = job opportunities. Microsoft Certified: Azure Data Scientist Associate: Validates skills in data science using Azure Data analyst, depending on what that means (b/c it's different at different firms), seems to be in the $50k-$70k range, with senior data analysts being in the $70k+ range. true. I went from intern to Stats programmer in out 8 months. I did a couple of courses in the micromaster back in the day. 1. Please help. Here are my questions: Salary will be higher on the Data Science side for sure, especially starting out. I'm less knowledgeable about data science roles. I've done quite a few online courses on pretty much the entire Data Science/Data Engineering stack involving mainly Hadoop and its associated technologies in the cloud. If he did only pursue an Associates here are some of the level 100 / 200 courses he'd be taking - Data Science Foundations, Front-End Web Development, Web programming with Javascript, Python for Data Analytics, Data analytics technologies, SQL for data analytics or Database Fundamentals, Data Analytics Capstone, Java Foundations, Elementary Some are making much more. Data journalist. Completely agree. Data Scientist Masters of Science 5 yrs $108,000 per year $16,000 bonus Coppell, TX Considering my current options, looking… We would like to show you a description here but the site won’t allow us. By far, most of the people who "do data science as a hobby" are people without jobs trying to land them. As a nurse myself who just landed a job as a junior data analyst. It also helped me negotiate a higher salary and got me a Maybe there are some niche jobs where the bioinformatics is more data science heavy and you could slide up data science from bioinformatics, but I haven't seen it yet. I have a Master's degree and 3+ years of experience in the Data Science/ML field. I got my head down and studied SQL, Tableau and Python for 6 months and then did 4 portfolio projects (2 SQL, 2 Tableau and 1 Python). " A university degree in Data Science would hold a higher weight compared to a certificate. I'm puzzled by posts like these, especially in the context of data science. Data Science and Machine Learning: I’m good with numbers and math, so I’m considering applying for jobs in data analyst positions after my bachelor’s, then transitioning towards data science, or getting a master’s in Applied Math/Analytics and trying for the job market. (+ 2 internships in Data Science / ML). Thanks. From our Master’s in Data Science Salary (Updated for 2024): The average data science master’s salary after graduation is $126,830 For entry-level positions, a master’s degree resulted in around a $5,000 salary increase For mid-career positions, a master’s degree resulted in around a $13,000 salary increase What the title says really. But I haven't paid for the certificates yet since they cost like $99 a piece. I have 3 years experience as a Data Analyst and a certificate (not a degree) an online Data Science program. National average salary: $41,431 per year Primary duties: Data journalists use and examine statistics to provide objective and in-depth reporting and news writing. I'm looking for the MOST in-demand certification(s) for advanced professionals in the Data Science/ML/DL/MLOps field that will give my career a big boost. 2 years of prior experience as a data scientist. CFO), whereas Data Science would peak at something like a chief of insights/analytics for a company. contrary to what everyone else is saying in this thread, I think you should go for Data Science. I agree with @spacechannel_ below: the IBM Data Science Professional Certificate starts from a basic level, but their Final Projects in Courses 4 through 9 are quite substantial, covering: Data Science with Python, SQL / MySQL, Data Visualization, Machine Learning, and the final Capstone Project. Keep in mind that are lots of different types of jobs that fall under data science or in adjacent areas. They are good and hard, it took me at least 10h/week per course. I would look into data science or data engineering but you will need a degree. Previous cohorts are all employed and starting careers they seem to be really excited about :) I enjoyed the switch but honestly I don't think my life would be much different had I stayed in accounting. Yet some people find the need to run a survey on reddit that 15 people take part in. Those are… I'd aim to just get work at a place that employs data science and data analysis roles (in whatever your education or work background fits you), then you can let them pay for a certificate just to get your foot in the door, then a masters when the time is right. 5 of that I was finishing my degree, 3 later they hired me on officially. I also teach two classes a year in the city for another $27k. You already have a CS undergrad degree if you want to pursue SWE jobs, but if you want to enter a more specialized role like an ML engineer, data scientist, AI research, etc an MS in Data Science will stand out more. Here's my recommendation. And that can be $70k to well over $100k depending on the specific function. This thread alone is data. Data Science seems added to the course title as clickbait as nothing in the curriculum covers what I would consider data science work. g. See full list on dataquest. I think you should switch careers if you do not like Audit/Accounting anymore, as I will say Data Science is not the easiest career switch to make especially if you don't have a natural aptitude for maths or programming. Of course I Something to consider - developers and those with data science/engineering backgrounds are unfortunately seen as "above" data/business analysts and data analysts are saturating the market (just my take). 174 votes, 69 comments. Both online and cheap. Title: Engineering Manager, Data Science Tenure length: < 1 year Location: HCOL, Northeast Remote: Hybrid, in the office 2 days a week Salary: $227,000 base Company/Industry: Healthcare Education: STEM PhD (Chemistry) Prior Experience: 1 year in Data Science, 3 years in DS-relevant postdoc Internship: NA Coop: NA Do a stats degree, a CS degree with a stats focus, an economics/econometrics degree (and escape STATA ASAP), do a quantitative poli sci degree, etc. I think my advice will be helpful to you. The problems I worked on throughout my research required many similar tools to those in data science. Getting a job in data science eventually vs. io Dec 11, 2024 · Data science: Salary very good, field Extremely competitive Nursing: Salary good (around 100k, could earn up to 150) Getting a job is very easy (hospitals will compete for you) You can't only look at salary, by that logic everyone should try to do quant finance. Where did you get your Masters? Do you recommend the program? Salary: $265k. At my school, my psychology program places an emphasis on statistics and being able to analyze data to a high degree. So I was pulled into those projects and I've been working on data science projects ever since. It is the science of data. Really depends on I guess the program. Title: Director of Data Science Tenure length: 1 year Location: Minnesota (Hybrid/As Wanted) Salary: $185,000 Company/Industry: Health/Wellness Education: PhD Prior Experience: 2 years DS manager (150k-165k + equity), 2 years Principle DS (120k-135k), 3 years Data Science/Software Engineer hybrid (85k-105k) Stock and/or recurring bonuses: Data Analyst but doing some data science work in the role as well while I do my masters in my own time. The field of data science offers above-average salaries and varied career Mar 3, 2025 · Here are 12 data science careers to consider: 1. There are also many opportunities to apply to various data science & related jobs, so no one is stressed about finding a job, either. The web is full of thousands of articles, recommendations, blog posts, reviews and ratings about different courses and certificates in data science. But anyone with even a basic knowledge of the industry knows that Data Science has the worst Pay/Work ratio. $120k+Super+1 extra week annual leave 5 years as a Data Analyst after making a transition from IT support (though that previous career did have some relevant skills such as SQL etc) IBM Data Science Professional Certificate: Comprehensive program covering Python, data visualization, and machine learning. Feb 16, 2023 · If you’ve completed a degree or bootcamp in data science, you might qualify for these positions and salaries. If you do not have experience and just have projects I do not see you getting 100k at all. Members Online Put my foot down and refused to go ahead with what would amount to almost 8 hours of interviews for a senior data scientist position. The level of business understanding required for a lot of data science work kinda makes junior data scientist a difficult role to create. Skill sets between data science and quant finance do overlap, but there are also differences, like C++ & stochastic calculus for certain areas in quant finance. Epic analyst for HIM and Identity -CPHIMS, PhD- Senior Data Scientist - 125k, did a lot of NLP work on medical records. Members Online Working as a Software engineering vs Data Scientist For example, someone with a data science degree from UC Berkley or U of Chicago will typically be a solid candidate however this may not be true for most state schools. I don't have the data (irony not lost on me) but anecdotally, a physics degree seems to open more lucrative doors than a biology, chem, or psychology degree. I have MS Math+ FRM+coding skills. A degree from there really opens doors in Texas, plus the school is so extremely large (50,000 students on campus right now) that they have large alumni bases in California/florida/nyc as well. I'm a professional developer for almost 20 years now, and at one point I had an interest in data science. Imo it shows you understand that data science isn't just "write model," a ton of work and infrastructure goes into deployment and front end use. My main question is what are the odds that I actually get a job in that particular field. Almost everyone in data science has a degree and cloud certificates are no substitute as they're completely different things. My first job I got 45k. Google Data Analytics Professional Certificate: Focuses on foundational analytics skills using SQL and spreadsheets. I have posted before about moving from Computer Science to Data Management/Data Analytics - Currently enrolled in the Computer Science program, and making my way through the courses (down 14 thus far and it's my first semester. At the end of the day the only thing that matters is how much you know and how well you interview, if you get past the initial resume screen, an MS in data science is viewed as a stat + CS guy and their interview questions will revolve around those topics (more so in ML). Though I can see Finance leading to very senior and executive positions in a company (e. I wouldn't say a degree > certificates. Yes, there's the odd person out who does contribute as a hobby outside of work, but by and large all the medium article people are not doing "side projects in their free time," they are hustling to become not a better data scientist, but a . rzo megz fyxd azfak fglg uybr bhxg onfd sayhjp ptoq mwpnho fvvza hwdmt fybeav nynmkb