As someone who graduated from college this May with little experience in the field , I highly recommend to make a portfolio to fill in missing experience. I have a bachelors in accounting and a masters in data analytics and to be honest I struggled to get data scientist interviews. As soon as I started playing with a variety of machine learning algorithms in python using real datasets to make a portfolio , it helped in two ways : exponentially increased my rate of interviews and it significantly helped me in preparing for them ( A lot of my interviewers asked me how do you build a logistic regression ? random forest ? what do you do to reduce overfitting ? etc..) . Anyways just landed a 95k job as a junior data scientist for a small company across my state ,and the job is completely done remotely . Believe in yourself and don't stop learning 😀.
I have a physics degree and that's it no experience whatsoever other than I did some astrophysics research. How can I get into this career realistically?
This video was soooo informative and encouraging. I’m a neuroscience major looking to enter data science after college and have been trying to focus my skills in learning R, data visualization, and statistical analysis. Class of ‘23!
@@wendy-wej All my stem classes require statistics, and I’ve done some research that uses epidemiological data. Over time I realized I enjoyed the data aspect of STEM more than being in a physical lab all the time, and I wanted the career flexibility to work in the fashion industry, which otherwise is a tremendous gap from my current experience. Stats and data science can be applied to virtually any field, so I really appreciate being able to focus on my skills and apply them to any industry in the long run. It gives me the chance to pursue Fashion Data Analytics, and then go back to epidemiology research when I’m ready. All while maintaining the same skills needed for either. :) The focus on transferable skills that I can get from data science is why it’s currently more appealing for me than my neuroscience major. (Sorry for the long response, lol)
You hit the nail on the head -- a lot of people can do data analysis and data science, but not many people understand how to connect everything back to the core business and how to interpret results from the perspective of what actions to take. Communicating the latter two points , once you have results from analysis , is where the real value is. Great vid !
not you being a literal life saver! im graduating early and i had no clue what i could do with my applied mathematics degree without going to grad school, and the way you describe this (the constant learning, the work environment) honestly makes this sound like the job for me :) thank you!
I am SO glad that you left a comment, this means a lot to me. Thanks so much for watching, and good luck on your job search! Applied math is a totally great major for quant/data science roles. :)
We're in the same boat! I'm graduating in the fall with an applied math degree and I have a couple years of experience with computer science, so data science is kind of a perfect fit. I also had no idea what to do with applied math short of going to grad school and becoming a professor or something (which sounds awful). Hope it goes well for you!
I am a undergrad with Applied Mathematics as well. Listen, our major is awesome! Math can be applied in so many industries! We do have to do some independent study for the coding side of things, but math is still very vital and often overlooked if you ask me.
@@TheAlmostAstrophysicist I feel the same way. I graduated last year as a physicist and I've been learning machine learning and deep learning for the last few months. I was wondering if my degree held any value or if I was cut for it (this after having send my resumé no less than 40 times) and well this does help. Thank you!
Props to you for sticking through Applied Math! I shied away and quickly changed degrees early in college specifically because I had I had no clue what to do with an applied mathematics degree. Here I am, two unrelated engineering degrees later, trying to expand applied math skills to make a career change into something that was always more suited for me to begin with!
Great information for anyone interested in the field. I love the fact that no two projects are the same, yet you tackle them with the same skillsets. I'm finishing up my Ph.D. in Data Science and it's been a crazy ride. I started with an interest in visualization (storytelling has always been my love), then a bit of machine learning (interesting but my heart wasn't into it), and now I build NLP tools and applications for use in sociolinguistics. Never in a million years would I have thought I'd end up studying language usage. Best of luck in your new position.
I have a very similar background to you. I am a former physics undergraduate that did research in high energy physics simulations, and that computational background really helped me transition into my current data science position. For any physics/math undergrads, you have the skill set to get into this field! The only obstacle is being able to express your math knowledge through code. If you can learn enough code to do that, you're golden.
I so needed this video today! I just finished my Masters in Data Analytics and as someone who has always despised job hunting I was getting disenfranchised. But you have put the fire back in my belly! All of the great things you said about the career are all the reasons I started the Masters. So thank you for reminding me!
How lucky I am to have found your chanel today! The name of the chanel itself made me feel already related to you. I'm from Brazil, and I've recently left a bachelor degree in Physics to follow a Data Scientist career. My love for programming emerged during a Scientific initiation, and I couldn't help to dedicate hours and hours of my days learning Python and other programming languages... I felt so powerfull learning it. Now I am in the first year of a Information System degree, and I coudn't be more happy. Althought physics will always be in my heart as an old dream of mine, the tech field made me flourish like no other. Thank you for sharing your experience with us, it really encourage me to continue following my goals (to be a Data Scientist!) and face the difficulties that will come with it.
Very informative video! I agree with many of your points, and I'd like to add some of my own (I'm a Lead Data Scientist at an American unicorn): 1. We don't really care about your background as long as you can code (SQL and Python), understand the fundamentals of statistics and can apply standard ML models. Your education might limit your progress later on, but the basics are plenty enough for you to do well as an entry-level data scientist. 2. Communication is _really_ important. We expect all new hires to be good on the technical side, so what ends up being the most significant discriminator between high- and low-level is how well you can understand what's being requested and what's important and communicate your results in a way that helps the business. This is the number 1 thing I mention to my reports during 1:1s. 3. Many Data Science courses (BAs or Masters) don't teach SQL, or if they do, it's just basic stuff. Regardless of what your actual role as a data scientist will be, SQL will always be essential.
@@TheAlmostAstrophysicist physics really re-wired mind..huh? Lol. Your ability to really compact the subject matter and out it in “everyday” language is amazing. #BigBrain! 🙏🏾🙌🏿💪🏾
Amazing video. I became interested in data science last year and the journey has been really tough. Depressing to a large extent even because I can't seem to land an entry level job. But I'm trying to push through because I know I will be very worth it.
You can do it! And I'd say you can always start from applying to roles that are "associate data scientist" or "data analyst" roles and build up - I started as an associate! Good luck!!
hey, awesome vid! I was a data analyst before I had a maternity leave and I wanted so much to become a data scientist because I think it's a logical progression of my work challenge path. Unfortunately, currently I have different plans for my life but I wanted to say that you made me come back to my prev plans and inspired me again on the topic.
I'm so glad I found your channel! I didn't know what I wanted to do for a career, so I don't an online quiz and it gave me a bunch of options. Data scientist was one of them and I really like what I've learned so far.
Thanks so much for sharing your insight with us. I'm a middle-aged professional who's learning more about A.I. I don't have an undergraduate or graduate degree in computer science, math, science or engineering, & Instead I did my undergrad and graduate work in a different area more focused in the arts and disability management. Currently, I work more in the career services field as a job coach in a vocational rehab capacity & have previous experience as a adjudicator/case manager for a healthcare provider. I'm ready to level up and transition into a new area focused on the healthcare field, but at my stage of life I'm unclear if I have enough time to develop the skills to become a data scientist, because after researching the different areas this is the most interesting to me, but I'm unclear if I've the aptitude to learn the math/statistics necessary to be successful in this field. I decided this weekend to register to take the CS50 class offered online with Harvard X, & hope for the best. My questions for you are should I try to start working more as a software engineer, since that's the easiest way to get into the tech field, even though it sounds boring, or do I've other options I'm not considering?
Thanks you for the info, I am currently a data engineer for bank and I am trying to transition into becoming a data scientist, this helps a lot to ensure that it is really what I want to do
Hey! I just wanted to thank you for all the videos you posted regarding writing college essays. I've been watching them for the last few days and they were really helpful. I heard your story with your major and it's really inspiring. I'm just grateful to you and I wish you more luck and success!
Awesome video! I was not looking for this but it came up in my recommendation and decided to watch it as i eat. I will be graduating spring 2023 with a BS in Statistics and Data Science, specialization in mathematics! I will be interning as a Quantitative Risk Analyst with usaa this summer so hopefully that bumps my journey into becoming a Data Scientist! Thanks for the video again, very inspirational!
Thank you thank u thank u!!! I’m currently pívoting from healthcare to tech and I have a economics education. So I’ve been all over the place I finally have a name for what I want to do. Thank u for breaking it all down
I’m set to graduate with a bachelors in finance soon and am thinking of pursuing a masters in “applied statistics and data science”. This makes me feel better about my career path, thanks for the informative video.
Oh nice, I'm the 1500th like! Thanks for the informative video. I'm currently using veteran programs to get about 700 hours of Data Science beginner-intermediate training to pair with a CS major. I enjoy watching videos like this that give insight on what will hopefully be me in the next few months. Thank you for the content!
Great video! I'm doing an Astronomy major and plan to hopefully land a data science/analyst job later. The thing you said about constantly learning new skills is what I really like about this field.
This was amazing. Some many actionable items that I’m sharing with myself. Keep going with sharing. The TH-cam channels and websites are great. I also found some Reddit groups as well. Thank you again
I just wanted to appreciate the video from editing and YT content prespective. You rarely find a tech video explaining about data science while following the framework of a good video.
How come you decided to switch from astrophysics to data science? Do you ever miss the sciencey side of life? Would you ever move back into the traditional sciences for work?
Thank you so much for the insight on data science as a "new path". I have degree on agriculture and now I'm just starting on takin course, professional certification and etc in data science (I'm more interested into this stuff than my main degree tbh lol). Mainly just to get into DS job, and also getting new skill to go along with my main degree seems pretty nice addition,
As a graduate in data analytics, I think in reality it is not very easy to bcom data scientist without masters unless one opts to work as a data analyst.
Thank u emphasizing the statistical skills in data science and the roles from A/B testing to utilizing Deep learning, with object detection and continuous learning from research papers
Special needs son with excellent computer skills, now doing Intro to Data Science, Engineering, Analyst and Excel courses. Ability to do tasks in Rote but without problem solving or creative solutions. I'm told there are positions for his capabilities, performing rote functions in prep of data, such as ETL or QA. Any comments or wisdom would be greatly appreciated.
watching this video today and I am in my 7th semester of company logistics and I am thinking of taking data science/UX workshops. idk why but I like the idea of trying to do sth new. Maybe it's because it's very helpful in this logistics/economy/management work field. really grateful for your video!
we can see you care about what you do. Data celebrity huh? Awesome to see you working overtime and helping the community even more!! Thanks again! C6w3 was in reference to another video, I dont know how that comment made it here, but all regards remain!!!!
Extremely helpful information. I have a PhD in Bioengineering but happened to read about data science after graduating so it was sort of too late to take classes. But I now have an opportunity to add this to my skill set so 'm going for it. Thank you so much for sharing! 😊
Question: 1)Which is preferably MIS(Business analyst) or MIS(Data Sci) or MS-DS? 2)Will you recommend State Universities like SJSU, SDSU, ASU over top University like NYU, NEU, UCLA?
I was feeling so discouraged as I’m getting close to finishing my masters in business analytics. Thank you for all the information. I’m in Chicago, if you ever want to get coffee and talk career :)
Thanks for the video! I've been out of college for 2 years after receiving my BS in Applied Physics. I am looking at the option to obtain a MS in Information Management, specialized in Data Science. I might end up doing the Google Coursera stuff first though to get a feel for what data science is slightly like.
I am a graduating student with a degree in mathematics, and i honestly want to enter the data science industry, but what's keeping me scared is that i have zero to little knowledge about programming because i didn't have the chance to learn it because of limited resources on my fam :( I really enjoy analyzing datas and graphs especially interpreting it the way i see it based on the data or statistics that i see, but yeah i really have limited knowledge about programming.
late, but tbh as long as you have a computer you can learn. Coursera, Edx and W3schools offer free courses (coursera and edx you have to audit but you can still do it) and there are lots of forums to ask for help. VSCode is free and has tons of extensions that help and is able to run stuff quick, and i have a 3gb ram laptop! I was able to learn basic html and css within a month with only w3 schools, the start is always the hardest. you can do it :)
I bet self-study might be easier if you can find friends to give you advice or to hold you accountable. I just started taking CS classes and I think the biggest benefit of being in a class is support from TAs and Lab Assistants. Programming is definitely not my favorite thing as a mathematician, but I am motivated to keep learning because I know its so useful for being able to speed up calculations (my least favorite part of math) and apply math to real problems. Also, it's my ticket to the bag haha
You got in a good time when the job market was booming. It’s cooled down now and a lot of layoffs have happened. Hopefully you weren’t effected. Thanks for the encouragement. I got a job at Boeing and hopefully i can move up the ranks over here 🤞
I’m a lab analyst, I am trying to transition into data science without any knowledge this really helped. Should I just apply for data analyst roles in order to get into the field? Thank you so much for sharing 🙏🏾
Hi! I'd definitely say you'd want to prep for the interviews well if you're new to the field (SQL, python, etc.) and starting as a data analyst would be a great first step! Data analyst roles vary by company, but generally skillsets would include SQL, sometimes BI visualization tools like Tableau or similar ones, basic foundational python for analysis, etc. :)
I currently work as a product designer but am considering a pivot into ML as a potential next step in my career. This video was super informative and helpful, thank you for sharing all of these thoughts!
Thank you for the highly informative video. Really great. I'm 44, midway down the road and looking to leave my uni teaching position for data science. Honestly, just got tired of the low pay, apathetic students, and inept administration. Got a bit of a taste of data science at a tech company I was working for, so taking the deep dive to skill things up. Thank you for clarifying salary expectations...Wondering if you know many people working remote as a data scientist?
I'm a GIS/Data Analyst. I recently thought to search TH-cam for women especially POC in this industry 🥲. You're definitely right about how diverse it is. I dont touch Python but strictly work with databases like Salesforce and ArcEsri. In my area,. I see jobs for Data Scientist but I'm pretty sure it's more related to the build out of Salesforce. On my team, 2 of us have our masters in Urban Planning and the other studied environmental science. You're definitely right about nothing ever being the same. I lean HEAVILY on my team.
Thank you for the helpful advice. One thing I've noticed is that a lot of data scientists have domain specific knowledge - some have a math degree, you have one in astrophysics. Then they additionally acquire the tools and methodology of data science and put their knowledge to use. Do you think it's generally necessary to have such domain specific knowledge and skills to become a successful data scientist?
In all honesty, a degree in physics will be looked at the same as a degree in CS. The recruiters I work with are looking for people with the qualitative ability to understand maths and mathematical models, which you learn by default in many math-heavy science degrees.
Spot on! Salary. Im a Sr. Data analyst 85K I do have a computer science degree but I had no experience other than projects from school and internship at a Tech startup. Also, I'm learning so I think Im getting paid well for learning! Yes, I produce dashboards and reports but I'm learning as I go. The company gives me the time for me to figure out the solution. I'm lacking support since Im the only analyst but my boss is very knowledgeable and helps when she has time, otherwise, Im figuring things out by myself. Need to mention that I got a Sr. role bc many Data analysts just produce reports and dashboards but at Sr. Level most companies expect you to code. I already know many coding languages and produced software from scratch so that landed me the Sr. role. I'm still learning python but after using other languages is pretty easy to learn a new one.
where should i start from. into learning data analysis. roadmap especially from excel to python. I am an undergrad. Mind being my online mentor? Thank you ♡
So as someone who eventually one day wants to work in data science industry, is there an entry level job role that one can apply as a starting point and just get promoted/ level up to a data science in time rather than just trying to apply for a data science position from the get go? I dont mind starting at the bottom and working my way up the ladder.
When she says, this and that are totally doable, remember she was a physics major. What physics grunts and engineering chumps (like moi) do without breaking a sweat is not what a non-techy will think is easily doable. Remember, the only two types that engineers respect are the physics and the math crowd.
Very informative and useful vedio. I am going to finish my MS in statistics and planning to do job in data science or data analyst job. Really this vedio will help me a lot . Thank you.
thank you so much for this video! I'm currently torn between getting a degree in cs and pursuing a job in the tech industry vs majoring in finance and working as an investment banker. I've talked to as many people as I possibly could and I still haven't been able to decide :( ik I'm viewing and commenting on this video months after it was released but I hope u see this and are able to leave any feedback as im going into uni as a freshman this fall and I really need to pick a major
If you do data science, you can use all of those skills. I suggest taking a few skills based classes early on and then use your new skills to get an internship (regardless of which major you choose). Working at a job is the best way to know whether you'll like it. I worked with a student who completed an internship his Senior year when he only had one class remaining to graduate. He hated it. When he returned, he changed his major entirely, so he won't graduate for another two years. If he had done that internship earlier, he would have saved himself a lot of time and money. An internship can help you decide whether or not your in the right field or fine-tune the sub-area within your major to focus your efforts on.
thank you! studying politics and economics, started getting interested in data science. God's willing, will be majoring in data science in my master's.
Not only do you not need a cs degree you don’t need a college degree outside of certain companies. There are a lot that of people coming from programming courses such as myself and people who also just teach themselves. Also don’t be intimidated by Python it is one of the easiest programming languages but I recommend looking up the other languages and the demand also. Maybe not C++ as your first language but if that’s what you desired then why not.
Thank you, it's so encouraging to see a woman who knows this role. I'm kind of scared of being disrespected for my gender as I have been at other jobs.
Thanks for the great video! I’m, a sophomore undergrad looking to go into Data Science and was wondering if you had any project ideas, or other activities that would be helpful to have on a resume.
I'm so glad the video was helpful! YES of course: 1. the first thing I'd say is start applying to internships ASAP if you don't have one lined up for the upcoming summer, and if you do already, that's great! Internships are really important because I learned most of what I know on the job, and you usually get return offers from internships so grinding it out over 2-3 weeks in September-December to get an internship for the upcoming summer is really worth it. 2. so the main skills that you'll be tested on in data science interviews are A) SQL and complex SQL manipulations B) exploratory data analysis from data sets and maybe C) machine learning principles. So trying to create 1-2 projects for each and adding it to your github will help a lot. For example, you can download a dataset regarding housing prices off of Kaggle and create a jupyter notebook of exploratory data analysis and test out different ensemble machine learning models (like gradient boosting or random forest) to see which gives you the most accuracy and commenting in why that's the case. (of course, it can start with much simpler SQL questions that you find on leetcode and then you can start finding larger projects on Kaggle) 3. read towardsdatascience articles to understand intuitively the underlying concepts behind ML algorithms - this might not be as important for you though since you're in school and can take the right classes to learn the right things which is a big advantage! 4. i'll upload a video about my resume but the way you structure your resume is important, you should have a "Projects" section where you have your top 2-3 projects from class or personal projects that highlight the 3 skills they look for (SQL, python data analysis, python ML)!
Great video! I'm quite interested in pursuing a career in data science in the future, and I'm wondering if you've got any tips/tricks for someone who's somewhat got his basics down. Looking forward to more of your videos!
I just graduated with a B.S in computer science. I have an internship lined up this summer in data science but I was wondering how realistic it was to land an entry level job as a data scientist with a B.S in computer science.
Well heck yeah I find this useful. It's very obvious you understand the field/occupation of data scientist/data analyst. I'm thinking though--sidenote--that having a relative degree such as math or physics (could be others) is a "in" to getting started in Data Science/Analyst.
Looking to swap into the Data Science field out of Consulting, Economics undergrad. Was considering doing a masters in data science to then switch. Would it be worthwhile to get an entry level job in the field prior to getting a masters? Does it look weird to have a masters with little relevant job experience?
I don't think it looks weird at all! Honestly though, I'd say (if you already know python and some data science basics) that you should just see if you can get an entry-level role first. I think that's the best course of action because you'll have a strong foundation based on the projects you build on the job, and honestly just to figure out if it's the right job for you before committing to a masters program! You may find that you learn enough on the job to the point where you can just switch companies and get a better role without requiring the masters (that's kind of what happened to me)!
finished a masters in data science and artificial intelligence in the uk. been trying for 3 months now to find a entry level position with no success - everyone's looking for 3+ years of experience. managed to get a job as a data modeller and hopefully work my way up there. it's stupid.
Thank you so much for this video! Amazing insight. If you decided to pursue a post-graduate degree, what field (applied mathematics, statistics, computer science, etc.) would you pursue for it and why?
Hey Brendyn Ford, I am currently a double major in computer science (BS) and data science (BS). If I had to choose one of those field it would have to be computer science. Coding is something you REALLY have to enjoy when working in this type of field. Also a computer science degree opens to so many other doors such as being a software developer, database administrator, and is extremely fundamental to being a machine learning engineer as you need to know how to make a model from scratch without using any built in functions.
With all these layoffs and shareholders activists calling for reduced compensation at FAANG companies, it doesn't look like big tech can keep up the high level of pay at least not in the near term. Stock based compensation basically dilutes the shares and shareholders don't like that.
This is really informative. And I understand there is a range, but what I can’t seem to find anyone talking about is an example of the day to day work. I wanna understand at least a couple of examples because I’m thinking of making the jump over
Super informative thank you for all the info! I just switched majors from CS to I.T. And thinking of Pursuing a masters degree in data science. Do you think that the masters degree would make of a difference early on and for entry level roles? (Salary wise) Overall im just kind of trying to figure out where to go from here haha
How were you able to land a data science role fresh out of college, especially without a degree specifically in data/ computer science? Also? Did you get this job before you graduated our when you were already out of college?
I was wondering what skills can we learn on our own that would really help us get a foot in the door if you don't have a computer science degree and how to practice it effectively every day, thanks!
As someone who graduated from college this May with little experience in the field , I highly recommend to make a portfolio to fill in missing experience. I have a bachelors in accounting and a masters in data analytics and to be honest I struggled to get data scientist interviews. As soon as I started playing with a variety of machine learning algorithms in python using real datasets to make a portfolio , it helped in two ways : exponentially increased my rate of interviews and it significantly helped me in preparing for them ( A lot of my interviewers asked me how do you build a logistic regression ? random forest ? what do you do to reduce overfitting ? etc..) . Anyways just landed a 95k job as a junior data scientist for a small company across my state ,and the job is completely done remotely . Believe in yourself and don't stop learning 😀.
Hi did you major in computer science or stats as an undergrad?
Right now I'm leaning towards stats/econ double major to help break into data science
I have a physics degree and that's it no experience whatsoever other than I did some astrophysics research. How can I get into this career realistically?
@@ramo886build a portfolio that showcases your skills (ie, the skills that you would need in data science)
Congratulations 🎉
This video was soooo informative and encouraging. I’m a neuroscience major looking to enter data science after college and have been trying to focus my skills in learning R, data visualization, and statistical analysis. Class of ‘23!
Girl same!!! Neuroscience and psychology class of 23!
Hey, could I ask why you want to go into data science. Like why not neuroscience anymore?
@@wendy-wej All my stem classes require statistics, and I’ve done some research that uses epidemiological data. Over time I realized I enjoyed the data aspect of STEM more than being in a physical lab all the time, and I wanted the career flexibility to work in the fashion industry, which otherwise is a tremendous gap from my current experience. Stats and data science can be applied to virtually any field, so I really appreciate being able to focus on my skills and apply them to any industry in the long run. It gives me the chance to pursue Fashion Data Analytics, and then go back to epidemiology research when I’m ready. All while maintaining the same skills needed for either. :) The focus on transferable skills that I can get from data science is why it’s currently more appealing for me than my neuroscience major. (Sorry for the long response, lol)
@@peepo2560 yay!!
@@giajia Thank you so much for the detailed insight. So you plan to go into fashion data analytics, that's so cool.
You hit the nail on the head -- a lot of people can do data analysis and data science, but not many people understand how to connect everything back to the core business and how to interpret results from the perspective of what actions to take. Communicating the latter two points , once you have results from analysis , is where the real value is. Great vid !
not you being a literal life saver! im graduating early and i had no clue what i could do with my applied mathematics degree without going to grad school, and the way you describe this (the constant learning, the work environment) honestly makes this sound like the job for me :) thank you!
I am SO glad that you left a comment, this means a lot to me. Thanks so much for watching, and good luck on your job search! Applied math is a totally great major for quant/data science roles. :)
We're in the same boat! I'm graduating in the fall with an applied math degree and I have a couple years of experience with computer science, so data science is kind of a perfect fit. I also had no idea what to do with applied math short of going to grad school and becoming a professor or something (which sounds awful). Hope it goes well for you!
I am a undergrad with Applied Mathematics as well. Listen, our major is awesome! Math can be applied in so many industries!
We do have to do some independent study for the coding side of things, but math is still very vital and often overlooked if you ask me.
@@TheAlmostAstrophysicist I feel the same way. I graduated last year as a physicist and I've been learning machine learning and deep learning for the last few months. I was wondering if my degree held any value or if I was cut for it (this after having send my resumé no less than 40 times) and well this does help. Thank you!
Props to you for sticking through Applied Math! I shied away and quickly changed degrees early in college specifically because I had I had no clue what to do with an applied mathematics degree. Here I am, two unrelated engineering degrees later, trying to expand applied math skills to make a career change into something that was always more suited for me to begin with!
Great information for anyone interested in the field. I love the fact that no two projects are the same, yet you tackle them with the same skillsets.
I'm finishing up my Ph.D. in Data Science and it's been a crazy ride. I started with an interest in visualization (storytelling has always been my love), then a bit of machine learning (interesting but my heart wasn't into it), and now I build NLP tools and applications for use in sociolinguistics. Never in a million years would I have thought I'd end up studying language usage.
Best of luck in your new position.
I did a project using NLP it was fun thinking about going the master route
I have a very similar background to you. I am a former physics undergraduate that did research in high energy physics simulations, and that computational background really helped me transition into my current data science position. For any physics/math undergrads, you have the skill set to get into this field! The only obstacle is being able to express your math knowledge through code. If you can learn enough code to do that, you're golden.
Thank you😍
"Understanding how you can drive business decisions & understanding how you can drive business values'' KEY insights of this video. Thank you.
I studied physics too,graduated last year and I want to venture into data science. Seeing this video makes me so happy
I am so glad! It's such a natural transition given the abstract nature of data science at times! Good luck! :)
Thank you for this video! Currently applying for a Master's in Data Science and this is great anecdotal support.
Have you completed your degree?
I so needed this video today! I just finished my Masters in Data Analytics and as someone who has always despised job hunting I was getting disenfranchised. But you have put the fire back in my belly! All of the great things you said about the career are all the reasons I started the Masters. So thank you for reminding me!
How lucky I am to have found your chanel today! The name of the chanel itself made me feel already related to you. I'm from Brazil, and I've recently left a bachelor degree in Physics to follow a Data Scientist career. My love for programming emerged during a Scientific initiation, and I couldn't help to dedicate hours and hours of my days learning Python and other programming languages... I felt so powerfull learning it. Now I am in the first year of a Information System degree, and I coudn't be more happy. Althought physics will always be in my heart as an old dream of mine, the tech field made me flourish like no other. Thank you for sharing your experience with us, it really encourage me to continue following my goals (to be a Data Scientist!) and face the difficulties that will come with it.
Very informative video! I agree with many of your points, and I'd like to add some of my own (I'm a Lead Data Scientist at an American unicorn):
1. We don't really care about your background as long as you can code (SQL and Python), understand the fundamentals of statistics and can apply standard ML models. Your education might limit your progress later on, but the basics are plenty enough for you to do well as an entry-level data scientist.
2. Communication is _really_ important. We expect all new hires to be good on the technical side, so what ends up being the most significant discriminator between high- and low-level is how well you can understand what's being requested and what's important and communicate your results in a way that helps the business. This is the number 1 thing I mention to my reports during 1:1s.
3. Many Data Science courses (BAs or Masters) don't teach SQL, or if they do, it's just basic stuff. Regardless of what your actual role as a data scientist will be, SQL will always be essential.
Hello Italo.
I would like to learn from you, How can a skilled data scientist from Africa get a remote work from one of the unicorn ?
I’m changing professions and looking at a data analytics boot camp. What are your thoughts on the boot camps ?
I never heard “data science” this much under 10minutes
lol I'll try to beat that in the next video
@@TheAlmostAstrophysicist hehe
@@TheAlmostAstrophysicist physics really re-wired mind..huh? Lol. Your ability to really compact the subject matter and out it in “everyday” language is amazing. #BigBrain! 🙏🏾🙌🏿💪🏾
🙄
DaytA sciENCe
Amazing video. I became interested in data science last year and the journey has been really tough. Depressing to a large extent even because I can't seem to land an entry level job. But I'm trying to push through because I know I will be very worth it.
You can do it! And I'd say you can always start from applying to roles that are "associate data scientist" or "data analyst" roles and build up - I started as an associate! Good luck!!
@@TheAlmostAstrophysicist Is there any voluntary co-op available. Say Toronto area.
hey, awesome vid! I was a data analyst before I had a maternity leave and I wanted so much to become a data scientist because I think it's a logical progression of my work challenge path. Unfortunately, currently I have different plans for my life but I wanted to say that you made me come back to my prev plans and inspired me again on the topic.
Your enthusiasm is appreciated and contagious!!
Thanks so much!!
You’re an inspiration! I now feel like making a video of me talking about what it’s like to work as an entry-level career advisor.
YES KEN! You've gotta do it!!! The people need to know 😁
I'm so glad I found your channel! I didn't know what I wanted to do for a career, so I don't an online quiz and it gave me a bunch of options. Data scientist was one of them and I really like what I've learned so far.
I'm also a data scientist with 2.5 years experience and i couldn't have said this any better myself
I appreciate that! 😊
Thanks so much for sharing your insight with us. I'm a middle-aged professional who's learning more about A.I. I don't have an undergraduate or graduate degree in computer science, math, science or engineering, & Instead I did my undergrad and graduate work in a different area more focused in the arts and disability management. Currently, I work more in the career services field as a job coach in a vocational rehab capacity & have previous experience as a adjudicator/case manager for a healthcare provider. I'm ready to level up and transition into a new area focused on the healthcare field, but at my stage of life I'm unclear if I have enough time to develop the skills to become a data scientist, because after researching the different areas this is the most interesting to me, but I'm unclear if I've the aptitude to learn the math/statistics necessary to be successful in this field. I decided this weekend to register to take the CS50 class offered online with Harvard X, & hope for the best. My questions for you are should I try to start working more as a software engineer, since that's the easiest way to get into the tech field, even though it sounds boring, or do I've other options I'm not considering?
Thanks you for the info, I am currently a data engineer for bank and I am trying to transition into becoming a data scientist, this helps a lot to ensure that it is really what I want to do
Hey! I just wanted to thank you for all the videos you posted regarding writing college essays. I've been watching them for the last few days and they were really helpful. I heard your story with your major and it's really inspiring. I'm just grateful to you and I wish you more luck and success!
Of course!! I'm so glad that my videos can help! Good luck with your college application process!! 😁😁
@@TheAlmostAstrophysicist Is there an email where we can reach you with personal questions and concerns concerning data analytics and data Scientist.
Awesome video! I was not looking for this but it came up in my recommendation and decided to watch it as i eat. I will be graduating spring 2023 with a BS in Statistics and Data Science, specialization in mathematics! I will be interning as a Quantitative Risk Analyst with usaa this summer so hopefully that bumps my journey into becoming a Data Scientist! Thanks for the video again, very inspirational!
Super cool! Good luck with your internship, and thanks for watching!
Thank you thank u thank u!!! I’m currently pívoting from healthcare to tech and I have a economics education. So I’ve been all over the place I finally have a name for what I want to do. Thank u for breaking it all down
I’m set to graduate with a bachelors in finance soon and am thinking of pursuing a masters in “applied statistics and data science”. This makes me feel better about my career path, thanks for the informative video.
Applied Stats is good for sure
Oh nice, I'm the 1500th like! Thanks for the informative video. I'm currently using veteran programs to get about 700 hours of Data Science beginner-intermediate training to pair with a CS major. I enjoy watching videos like this that give insight on what will hopefully be me in the next few months. Thank you for the content!
Great video! I'm doing an Astronomy major and plan to hopefully land a data science/analyst job later. The thing you said about constantly learning new skills is what I really like about this field.
Hey why not to land in astronomy ?
@@user-nv1yr5rl8q Relatively low pay + I'm not very interested in a research/academic job which is almost all astronomy jobs
Congrats on your new job!!! And thanks for the advice. Also, good job on those savings sis!! Sheeesh
This was amazing. Some many actionable items that I’m sharing with myself. Keep going with sharing. The TH-cam channels and websites are great. I also found some Reddit groups as well. Thank you again
I just wanted to appreciate the video from editing and YT content prespective. You rarely find a tech video explaining about data science while following the framework of a good video.
How come you decided to switch from astrophysics to data science? Do you ever miss the sciencey side of life? Would you ever move back into the traditional sciences for work?
Thank you so much for the insight on data science as a "new path". I have degree on agriculture and now I'm just starting on takin course, professional certification and etc in data science (I'm more interested into this stuff than my main degree tbh lol). Mainly just to get into DS job, and also getting new skill to go along with my main degree seems pretty nice addition,
Thanks for making this video, this was really interesting!
As a graduate in data analytics, I think in reality it is not very easy to bcom data scientist without masters unless one opts to work as a data analyst.
Thank u emphasizing the statistical skills in data science and the roles from A/B testing to utilizing Deep learning, with object detection and continuous learning from research papers
Special needs son with excellent computer skills, now doing Intro to Data Science, Engineering, Analyst and Excel courses. Ability to do tasks in Rote but without problem solving or creative solutions. I'm told there are positions for his capabilities, performing rote functions in prep of data, such as ETL or QA. Any comments or wisdom would be greatly appreciated.
Thank you so much! It's so helpful, making me more determined to continue my education and career path in data science!
Good to see you back.. : ) Nice one!
Thank you!!! 🙏
I love seeing all these science majors in the comments …I’m a Medical Technologist and I would love to learn about this.
watching this video today and I am in my 7th semester of company logistics and I am thinking of taking data science/UX workshops. idk why but I like the idea of trying to do sth new. Maybe it's because it's very helpful in this logistics/economy/management work field. really grateful for your video!
Senior in Highschool here, I love your charisma on data science!
I love how passionate you are about your career. :) It looks like you're exactly where you belong.
Thank you for the inside look. I am looking forward to learning more about this field.
Woohoo! You're back! :)
we can see you care about what you do. Data celebrity huh? Awesome to see you working overtime and helping the community even more!! Thanks again!
C6w3 was in reference to another video, I dont know how that comment made it here, but all regards remain!!!!
Thanks so much for keeping up with my videos and for leaving the kind comment!!
Extremely helpful information. I have a PhD in Bioengineering but happened to read about data science after graduating so it was sort of too late to take classes. But I now have an opportunity to add this to my skill set so 'm going for it. Thank you so much for sharing! 😊
This was such a useful video ! Thank you so much! :)
It was hard to keep up with you but very very informative video. Thank you for this very valuable info.
ah was I talking too fast? 😬 or too much content? feedback’s always appreciated, thanks so much for watching!
@@TheAlmostAstrophysicist Fast but it’s me and not you. I appreciate the valuable info. Much blessings.
Question:
1)Which is preferably MIS(Business analyst) or MIS(Data Sci) or MS-DS?
2)Will you recommend State Universities like SJSU, SDSU, ASU over top University like NYU, NEU, UCLA?
I was feeling so discouraged as I’m getting close to finishing my masters in business analytics. Thank you for all the information. I’m in Chicago, if you ever want to get coffee and talk career :)
Thanks for the video! I've been out of college for 2 years after receiving my BS in Applied Physics.
I am looking at the option to obtain a MS in Information Management, specialized in Data Science. I might end up doing the Google Coursera stuff first though to get a feel for what data science is slightly like.
Well done! 💐💐 Your Channel works because of your authenticity.
I think you are effective in this tech industry thanks for sharing us your experience and taught it is awesome.
I am a graduating student with a degree in mathematics, and i honestly want to enter the data science industry, but what's keeping me scared is that i have zero to little knowledge about programming because i didn't have the chance to learn it because of limited resources on my fam :( I really enjoy analyzing datas and graphs especially interpreting it the way i see it based on the data or statistics that i see, but yeah i really have limited knowledge about programming.
late, but tbh as long as you have a computer you can learn. Coursera, Edx and W3schools offer free courses (coursera and edx you have to audit but you can still do it) and there are lots of forums to ask for help. VSCode is free and has tons of extensions that help and is able to run stuff quick, and i have a 3gb ram laptop!
I was able to learn basic html and css within a month with only w3 schools, the start is always the hardest. you can do it :)
I bet self-study might be easier if you can find friends to give you advice or to hold you accountable. I just started taking CS classes and I think the biggest benefit of being in a class is support from TAs and Lab Assistants. Programming is definitely not my favorite thing as a mathematician, but I am motivated to keep learning because I know its so useful for being able to speed up calculations (my least favorite part of math) and apply math to real problems. Also, it's my ticket to the bag haha
Thank you for this video it was so helpful!! Welcome to Chicago :)
Thank you so much!
Thank you so much, it was really clarifying and helpful!
Feeling hopeful 🤞 to me, just graduated yesterday from uppen in Data Analytics and visualization!
You got in a good time when the job market was booming. It’s cooled down now and a lot of layoffs have happened. Hopefully you weren’t effected. Thanks for the encouragement. I got a job at Boeing and hopefully i can move up the ranks over here 🤞
Do you suggest entering the field now?
I’m a lab analyst, I am trying to transition into data science without any knowledge this really helped. Should I just apply for data analyst roles in order to get into the field? Thank you so much for sharing 🙏🏾
Hi! I'd definitely say you'd want to prep for the interviews well if you're new to the field (SQL, python, etc.) and starting as a data analyst would be a great first step! Data analyst roles vary by company, but generally skillsets would include SQL, sometimes BI visualization tools like Tableau or similar ones, basic foundational python for analysis, etc. :)
@@TheAlmostAstrophysicist Thank you so much, God bless you
Thanks for the video. Much needed information
I'm glad it was helpful!
smart to move to Chicago! It's honestly the best balance of big city and affordability
Totally agree! I love Chicago so much (more in the summer than now haha) but it's definitely inching up in the affordability scale lol
I currently work as a product designer but am considering a pivot into ML as a potential next step in my career. This video was super informative and helpful, thank you for sharing all of these thoughts!
Trust me, you are okay
same i'm Brand creative right now, now try to learn Data scientist and Machine Learning hopefully we can make it :)
Thank you for the highly informative video. Really great. I'm 44, midway down the road and looking to leave my uni teaching position for data science. Honestly, just got tired of the low pay, apathetic students, and inept administration. Got a bit of a taste of data science at a tech company I was working for, so taking the deep dive to skill things up. Thank you for clarifying salary expectations...Wondering if you know many people working remote as a data scientist?
I'm a GIS/Data Analyst. I recently thought to search TH-cam for women especially POC in this industry 🥲. You're definitely right about how diverse it is. I dont touch Python but strictly work with databases like Salesforce and ArcEsri. In my area,. I see jobs for Data Scientist but I'm pretty sure it's more related to the build out of Salesforce. On my team, 2 of us have our masters in Urban Planning and the other studied environmental science. You're definitely right about nothing ever being the same. I lean HEAVILY on my team.
Thank you for the helpful advice. One thing I've noticed is that a lot of data scientists have domain specific knowledge - some have a math degree, you have one in astrophysics. Then they additionally acquire the tools and methodology of data science and put their knowledge to use.
Do you think it's generally necessary to have such domain specific knowledge and skills to become a successful data scientist?
In all honesty, a degree in physics will be looked at the same as a degree in CS. The recruiters I work with are looking for people with the qualitative ability to understand maths and mathematical models, which you learn by default in many math-heavy science degrees.
Spot on! Salary. Im a Sr. Data analyst 85K I do have a computer science degree but I had no experience other than projects from school and internship at a Tech startup. Also, I'm learning so I think Im getting paid well for learning! Yes, I produce dashboards and reports but I'm learning as I go. The company gives me the time for me to figure out the solution. I'm lacking support since Im the only analyst but my boss is very knowledgeable and helps when she has time, otherwise, Im figuring things out by myself.
Need to mention that I got a Sr. role bc many Data analysts just produce reports and dashboards but at Sr. Level most companies expect you to code. I already know many coding languages and produced software from scratch so that landed me the Sr. role. I'm still learning python but after using other languages is pretty easy to learn a new one.
where should i start from. into learning data analysis. roadmap especially from excel to python. I am an undergrad.
Mind being my online mentor? Thank you ♡
I would like to one day work at Spotify as a data scientist because I love listening to high quality music.
I’m studying geography and astronomy now while aiming to become a data scientist or software engineer.
So as someone who eventually one day wants to work in data science industry, is there an entry level job role that one can apply as a starting point and just get promoted/ level up to a data science in time rather than just trying to apply for a data science position from the get go? I dont mind starting at the bottom and working my way up the ladder.
thank you so much for this video!!! So helpful!
I loved everything about this video. You're awesome.
When she says, this and that are totally doable, remember she was a physics major. What physics grunts and engineering chumps (like moi) do without breaking a sweat is not what a non-techy will think is easily doable. Remember, the only two types that engineers respect are the physics and the math crowd.
Very informative and useful vedio.
I am going to finish my MS in statistics and planning to do job in data science or data analyst job. Really this vedio will help me a lot . Thank you.
thank you so much for this video! I'm currently torn between getting a degree in cs and pursuing a job in the tech industry vs majoring in finance and working as an investment banker. I've talked to as many people as I possibly could and I still haven't been able to decide :( ik I'm viewing and commenting on this video months after it was released but I hope u see this and are able to leave any feedback as im going into uni as a freshman this fall and I really need to pick a major
If you do data science, you can use all of those skills. I suggest taking a few skills based classes early on and then use your new skills to get an internship (regardless of which major you choose). Working at a job is the best way to know whether you'll like it. I worked with a student who completed an internship his Senior year when he only had one class remaining to graduate. He hated it. When he returned, he changed his major entirely, so he won't graduate for another two years. If he had done that internship earlier, he would have saved himself a lot of time and money. An internship can help you decide whether or not your in the right field or fine-tune the sub-area within your major to focus your efforts on.
thank you! studying politics and economics, started getting interested in data science. God's willing, will be majoring in data science in my master's.
Extremely Helpful! Thank You 😊
Really great insight !
Not only do you not need a cs degree you don’t need a college degree outside of certain companies. There are a lot that of people coming from programming courses such as myself and people who also just teach themselves. Also don’t be intimidated by Python it is one of the easiest programming languages but I recommend looking up the other languages and the demand also. Maybe not C++ as your first language but if that’s what you desired then why not.
Awesome vid!!
Thank you, it's so encouraging to see a woman who knows this role. I'm kind of scared of being disrespected for my gender as I have been at other jobs.
Like what other jobs?
Super helpful video thank you!
Thanks for the great video! I’m, a sophomore undergrad looking to go into Data Science and was wondering if you had any project ideas, or other activities that would be helpful to have on a resume.
I'm so glad the video was helpful! YES of course:
1. the first thing I'd say is start applying to internships ASAP if you don't have one lined up for the upcoming summer, and if you do already, that's great! Internships are really important because I learned most of what I know on the job, and you usually get return offers from internships so grinding it out over 2-3 weeks in September-December to get an internship for the upcoming summer is really worth it.
2. so the main skills that you'll be tested on in data science interviews are A) SQL and complex SQL manipulations B) exploratory data analysis from data sets and maybe C) machine learning principles. So trying to create 1-2 projects for each and adding it to your github will help a lot. For example, you can download a dataset regarding housing prices off of Kaggle and create a jupyter notebook of exploratory data analysis and test out different ensemble machine learning models (like gradient boosting or random forest) to see which gives you the most accuracy and commenting in why that's the case. (of course, it can start with much simpler SQL questions that you find on leetcode and then you can start finding larger projects on Kaggle)
3. read towardsdatascience articles to understand intuitively the underlying concepts behind ML algorithms - this might not be as important for you though since you're in school and can take the right classes to learn the right things which is a big advantage!
4. i'll upload a video about my resume but the way you structure your resume is important, you should have a "Projects" section where you have your top 2-3 projects from class or personal projects that highlight the 3 skills they look for (SQL, python data analysis, python ML)!
@@TheAlmostAstrophysicist Thank you this video and comment were both extremely helpful!
Great video! I'm quite interested in pursuing a career in data science in the future, and I'm wondering if you've got any tips/tricks for someone who's somewhat got his basics down. Looking forward to more of your videos!
I just graduated with a B.S in computer science. I have an internship lined up this summer in data science but I was wondering how realistic it was to land an entry level job as a data scientist with a B.S in computer science.
Very realistic. Their are a lot of IT boot camps that are paid training btw, that want computer science degree individuals. So go for it!
It really depends on companies. Some companies expect their DS team members to have PhDs while other companies don't.
A very informative video. Thank you very much
Well heck yeah I find this useful. It's very obvious you understand the field/occupation of data scientist/data analyst.
I'm thinking though--sidenote--that having a relative degree such as math or physics (could be others) is a "in" to getting started in Data Science/Analyst.
Looking to swap into the Data Science field out of Consulting, Economics undergrad. Was considering doing a masters in data science to then switch. Would it be worthwhile to get an entry level job in the field prior to getting a masters? Does it look weird to have a masters with little relevant job experience?
I don't think it looks weird at all! Honestly though, I'd say (if you already know python and some data science basics) that you should just see if you can get an entry-level role first. I think that's the best course of action because you'll have a strong foundation based on the projects you build on the job, and honestly just to figure out if it's the right job for you before committing to a masters program! You may find that you learn enough on the job to the point where you can just switch companies and get a better role without requiring the masters (that's kind of what happened to me)!
I'm an Econ undergrad as well graduating next year, what did consulting look like for you?
This is so informative thank you ❤❤
finished a masters in data science and artificial intelligence in the uk. been trying for 3 months now to find a entry level position with no success - everyone's looking for 3+ years of experience. managed to get a job as a data modeller and hopefully work my way up there. it's stupid.
Thank you so much for this video! Amazing insight. If you decided to pursue a post-graduate degree, what field (applied mathematics, statistics, computer science, etc.) would you pursue for it and why?
Hey Brendyn Ford, I am currently a double major in computer science (BS) and data science (BS). If I had to choose one of those field it would have to be computer science. Coding is something you REALLY have to enjoy when working in this type of field. Also a computer science degree opens to so many other doors such as being a software developer, database administrator, and is extremely fundamental to being a machine learning engineer as you need to know how to make a model from scratch without using any built in functions.
With all these layoffs and shareholders activists calling for reduced compensation at FAANG companies, it doesn't look like big tech can keep up the high level of pay at least not in the near term. Stock based compensation basically dilutes the shares and shareholders don't like that.
This was so helpful!
This is really informative. And I understand there is a range, but what I can’t seem to find anyone talking about is an example of the day to day work. I wanna understand at least a couple of examples because I’m thinking of making the jump over
Super informative thank you for all the info! I just switched majors from CS to I.T. And thinking of Pursuing a masters degree in data science. Do you think that the masters degree would make of a difference early on and for entry level roles? (Salary wise) Overall im just kind of trying to figure out where to go from here haha
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You rock. Thanks for the breakdown
How were you able to land a data science role fresh out of college, especially without a degree specifically in data/ computer science? Also? Did you get this job before you graduated our when you were already out of college?
I was wondering what skills can we learn on our own that would really help us get a foot in the door if you don't have a computer science degree and how to practice it effectively every day, thanks!
Amazing video!!!!