It took me 7 years of working as a Data Analyst to realise I'd rather pursue a life of creative entrepreneurship. So I quit my Data job after 7 years and am now creating a life of freedom. Learn how I did it: learn.stfnvic.com/mastermind Follow my journey here: instagram.com/stefanovic92/ I try to answer all DM's related to creating a life of freedom
I understand what you're saying about a life of freedom and I applaud your goal. I am similar in that I am looking into Data Analysis as a remote job option so I can pursue my own plan of living on my farm in the Philippines and quitting my overseas work in the Middle-East. I think I can use my previous career as a stepping stone into Data Analytics and hopefully, my experience will be useful in this new field. Thanks.
I am brazilian data analyst and I agree 100% with everything in this video. I would just recommend that people use kaggle to practice some data skills.
Oi, jovem me dá uma luz na vida, quero muito trabalhar com tecnologia, mas não quero ser front end, mas sim Analista de Dados, mas quero muito me forma em ciências da computação sou novo tenho 21 anos já fiz o semestre, a minha dúvida é, sem faculdade as portas são iguais com faculdade?
@@Gabriel_Melo.F cara, em ciencia de dados acho a faculdade bem importante, ela te abre mtas portas e te coloca mto na frente dos concorrentes... e o principal é q vc vai ter a chance de estagiar, isso ajuda mto! Mas boa sorte vc ta no caminho certo
@@jsunxae4822 Probably in another's countries, in Brazil having a degree is absolutely necessary. But in EUA, for example, they consider more your proficiency then a degree.
Being told by a manager to manipulate data or calculate something the wrong way to make it look good, unfortunately happens across lots of businesses. Never do it. It will fall back on you. That manager will take the credit but if anyone finds out, you will take the blame. Being accurate and interested in the truth, is your job as a data analyst, in the long term, you will be respected, trusted and rewarded for it
I’m a junior in college studying industrial engineer with a data analytics minor. I just had my first internship this summer, and I cannot stress how important SQL was. I learned it at my internship through online courses + my boss, and used it and tableau for my internship project. many, many companies will be looking for people who can use these tools and I would learn sql and tableau as soon as you can! they’re so useful.
I graduated as an industrial engineer half a year ago. The skills you learn with analytics are extremely useful for industrial engineers imo, I think it is still much under the radar of institutions and students as well. Anyway, by self-learning I got my first job as a junior data analyst - unfortunately not within manufacturing industry. I hope to get there though.
I am a 5+ years of experience data analyst. And I've already reached the point when it's frustrating me so hard when I remember my previous work experience. These crazy amount of tasks and attitude of colleagues. But I have not reached my maximum skills and salary. I'm stuck with Excel and SQL, and a bit of BI. Python, statistics and all that stuff - that's what I have yet to learn and master. Currently I am feeling the same as you - I hate corporate world and all this freaking hierarchical games. And one day I will finish this game. But before that, I want to leave with in a memory that I've learned and reached maximum potential as I could as a data analyst. I am on a half way, need to finish it completely. 💪 And, of course, new subscriber. 👍
@@renganathanumanath2729 The job seeking is the part when it's complicated for all levels, not only Juniors. Middle and Seniors too. But you'll find your place, anyway. Even junior with no previous work experience you'll find your place for sure. The crucial is to show your knowledge in hard skills, especially SQL. SQL is a 100% necessary skill and every company is interested how much good you know this language. Good knowledge of SQL will give you a very big guarantee to get your job!
Hi guys, can you please let me know is sql to hard to learn with zero prior experiance, I have degree in economics, but I wish to change my career, any suggestions?
Thank you Stefanovic. First two tools for Data Analytics -- Excel and SQL. Honestly, I am so tired of people pushing aspiring data analysts down the R and Python route. You need to know how to use Excel and write SQL first. Then I suggest a data visualization tool such as PowerBI or Tableau. Feel free to learn R and Python alongside or shortly thereafter. But you will not get a job by not knowing Excel. You will enhance your first job with SQL. These are the building blocks. Any programming languages after that will only further enhance your viability as a flexible data analyst.
Another perfect video, man! I work in HR with a big company, and I do just a tiny bit of data analysis, mostly with turnover. I'm in the capstone module of Google Data Analytics (Coursera). My coworkers keep telling me I should stay in my lane, this won't apply because so-and-so already does that, etc. You (and Luke) keep me motivated. I like the data stuff, and if I pursue it full time in the future my coworkers can kiss my ass. EDIT: Dude, I know that you are discouraging us from subscribing as you don't consider yourself a data analyst anymore, but in a prior video you stated that you want to get paid for your output and not your input. This resonated with me in realizing and keeping in perspective the purpose of my work. I live by that now (I was a clock watcher before). Always good advice.
Thank you so much! I am a fifty+ retired teacher who is changing careers. I have started a data analytics course online. This video was so informative and reassured me that I am doing the right things. Starting a whole new career this late in life is scary. Thank you for your quality information!
thanks for being straight to the point and being honest with your content, i'll definitely be able to start learning data analytics to increase my skills and here is what i've learned from your video: 1. learn to have an analytical mindset by asking the right questions 2. learn more about sql, excel, python, tableu 3. use existing real world datasets that i am interested in to start practicing 4. learn how to interpret and visualize data 5. improve my communication skills (i always stutter when i get nervous and i'm easily nervous)
I'm on my last year of my Economics degree and just started scratching the world of data analysis for a possible future job to achieve a quick financial and personal freedom to pursuit other things in life. This was of great value Stefan, finally at 100k, I never doubted you, as always just wanted to leave my praise here, keep it going man!
Mate, let me tell you I'm in the same position as you are, finishing my degree in Economics and with 3 years of data analysis and science I can that we have a beautiful background with this career, It's pretty easy to get into the industry. Actually, I think that every economist needs to learn this skills! love your content, Stefaaaaaaaanovic
Hello guys, I'm an economics graduate, learning data science from last year and now wanting to get in this field. I have always doubted that our background doesn't favour us but today I'm feeling more confident after reading your comments.
Fellow economics grad here, it would have been great for these programs to tell us that data analysis is basically a requirement for any related job in the field. So much theory and not enough working with real numbers in my experience
I started my Economics degree this November. I am very happy to know I have Data analysis route to pursue. I have my minor in CS where python is being taught and separate classes for Excel are held in my college to prepare students for their jobs . I just hope I can struggle through and land a job
Love the aesthetic of your videos and the quality of the image! Btw amazing information, I started recently to study data analyst, I hope to finish all the courses soon and change my life of hurting my body in shitty jobs for small payments!
SQL is one of the best tools to learn in general. I would note that in addition to analytics it is also the skill required for database administration and design. Indeed, before data analytics became a buzz-word, most of the data analysts of the world were Database Administrators (DBAs) who ran things like SQL Server Analysis Services (SSAS) or SQL Server Reporting Services (SSRS) in addition to performing tradition database development and administration tasks.
I know you told me not to subscribe but, your video was so good and inspirational that, I felt the need to go ahead and click the red button. Hell of a video, amazing info, great great great all around. I'm 42 and I'm trying to search a new career path for me. I've been on the IT support side of things for too long and data analytics keeps popping up on my radar. I'm going for it. thank you!
I just started a new job as a data analyst intern 3 weeks ago and I'm glad I pretty much did all of the things mentioned in the video subconsciously. It's been great so far!
like y suscrito porque me identifiqué con lo que dijiste al final. Yo también llevo casi 5 años de mi vida trabajando en una oficina pequeña frente a un computador analizando datos y capacitándome todos los días en las ultimas tecnologías, vivía super estresado, reuniones van y vienen, datos por todos lados, no tenia tiempo para nada ni nadie. Además, ganaba muy poco, no tenia vacaciones ni beneficios extralegales. Este año me cansé, renuncié y ahora estoy desempleado pero contento, sin estrés, creo que voy a buscar empleo medio tiempo que me dé tiempo para realizar mis proyectos personales.
Was full-stack developer turned data engineer and analyst. The transition was natural. Knowing the technical side in much more depth and breadth allows me to produce more-refined and efficient dashboard.
Woooow!!! That was the most impressive message I've heard from a data scientist. Thank you for being so open and honest about, thats why I think this video find an authentic interest for many of people. I've not realized about whether I can not go ahead with stay in an office cos I'm hardly a noob. So first expecting to aspire to being an analyst. THANK YOU!!!!
This is exactly how I started learning Data Analytics. After analyzing D.A. courses and resorces I decided to focus on SQL, Python/Jupyter, Excel/Pivot Tables/Power Query, Dax, PowerBI, ML and your video just confirmed my choices
Man, you're an authentic gent, for you to recommend Alex, Luke & KenJee just taught me how important it is to be authentic to your own personal journey...very cool
Too late , I already subscribed and its after I stumbled across your channel while investigating what type of computer sciencey/IT path would most suit me if I completely changed tack and pursued a different course 🤷♂️. But I can honestly say I'm glad I found your channel. Very clear and useful and informative content and great links for further study. Thank you.👍
You summarized perfectly the road to follow-up, to become a data analyst, and I'm really grateful for that... I know your content won't be 100% about Data Analysis anymore, but a way to support your work -because of this well-made video- is to give you, at least, a +1 follower...
The fact that you wanted us to subscribe to other youtubers for more info about data, made me choose to follow and subscribe to your page. You are so authentic.
I agree with everything you mentioned in your video. As a DA with nearly three years of experience, I believe there is one additional point that many video bloggers often overlook. First, communication skills-how to convey your data findings to an audience without a data background.
Hi there! I'm 43 and at the start point of my switch to data analysis from the lecturer at the university. Just now I'm taking a Python course for developers and trying to focus the right emphasis on what to learn after. To tell the truth, I suppose that I am familiar with Excel and I like to work with it, but macros programming still isn't my cup of tea. I like to find out new insights from your content. I just found out that I have always been inspired by analysis, data interpretation and building the dependencies "x-y". Still believe that this step will give a good feel of a competitive salary to live in harmony with my job. Thank you for your encouraging video, style of presentation and simple concise manner, Stefanovic.
I've been location independent as a Data Analyst and now a Data Architect. I believe it's a great path for location freedom and financial freedom. You have specialize. Maybe you can learn little bits of Excel SQL and Power BI. But to get good will take years on each. Keep in mind we use multiple tools all the time, all day, every day. No better practice than a 9-5 job. Practicing 8 hours a day
Good material! I am an 54 IT Consultant, that started in the area 35 ago and I really appreciated your hints! We have to balance personal life, work, studies and other goals to achieve nearly a joyful life! Congrats!
Ciao Stefan. Thanks again for the great video and tons of useful information. BTW do not make exuses for the sponsors of a video, because the important content is huge as well as the little ditails (IBM course in one week ;)
Thank you so much for such a deep “analytical” review. In your case I will treat as one of the sayings “You need to read only 5 books in your life, but to find them you have to read thousands”
12 дней назад
I own 6 google certificates, SEO Certificate , Google Analytics Cloud Solutions and i must say ,your are great,and i want to learn everything about Data Analysis.
Getting out the navy and start computer science there so many opportunities for this I really can’t wait to get my degree and also Learn sql, I’m excited!
Wow, this video was for me so much valuable, i agree totaly with everything what you said. Congrats for the channel. I'm a Brazilian data analyst, working in working in healthcare area.
Thank you for sharing your experince ,I'm an engineer from thailand who looking for up-skill to become a Data Analyst and realise to creating a life of freedom too.Hope you see in thailand.
im a senior data analyst at a fintech startup and would highly recommend learning real analysis and measure theory in order to become better as a data scientist
Dude! This is great! I'm literally trying to figure out what to do with SQL and Python, as I learned only both or as I found them both easy and interesting. You're literally helped me out to figure a career path. Thank You!
As I have and will always say; your content is peerless. I am moving to Finland in order to approach my higher education there (Studying Electrical Engineering) and I already recap and start reviewing a lot related to Data Science, Programming (maximizing Python); AI and Machine Learning. I still want to taking up everything related to; but I guess time at uni while studying is going to eat me up; therefore I am looking for a way how to keep getting into this domain while coping/ handling with my uni’s studies. I am all ears for any suggestion/recommendation;)
Hey I'm also here for suggestion. But fun fact: I'm currently pursuing my degree on Electrical Engineering too lol, but aim to be a Data Analyst one day
I am a chemical Engineer who is going to graduate in 6 months and have already landed a Machine learning job so I might have some tips for you from my own experience. I can give a basic outline of what worked for me without going much into details. 1) Take whatever optional electives (those that you can opt for yourself) that is related to data, programming, statistics. 2) Try to put an hour for data science everyday after completing your EE homework. It's hard because you also have to maintain a social life with Uni work but you have to do it. 3) Don't be so hard on yourself. Take a week off if you are burned out. Trust me this helps in the long run. You come back refreshed and you learn at even a faster rate. 4) After completing you data sci work, learn a new concept theoretically in brief everyday (15-20 mins) in your free time and make some rough notes. (For ex: how a SVM works) This should be like a hobby to you. If you aren't fascinated by data science then you might find it hard to do this over watching netflix/youtube. 5) (Optional but helps a lot) Online certification courses. My favorite are the IBM ones but there's many out there. Put these on your resume and be thorough with them because the interviewer could ask you questions from them. 6) MOST IMP!! Do projects and put a few of your best ones on your resume (and learn how to explain them to *non-tech* people). You'll be surprised how fast you will progress if you keep going at it consistently.
Thank you so much for this clear video! I am still studying, and I think it might be the perfect time to learn more about data. In my last year I can take a special course that is focused on data. I hope I can grow with the given websites and courses.
The best of the best I just love your videos, I've been watching them since you had 2,000 subscribers. One of my dreams, after I become a data analyst, is to meet you, shake your hand and say thank you so much for everything you've done for me. I will keep my fingers crossed for your personal and financial freedom. You're going to do great!
thanks for the video , I have 55 years old , and I really , really really want to reinvent my carrear , your advice are very good I agree 100% with everything on this video.
Always great video. But your data analysis experience is what gave you the ability to make these video contents, freelance jobs and hence giving your the freedom you have now. Stay safe!
Point 1.2 BIG EXCALAMAITIONMARK! From my experience in university this is so true. I often carried out experiments with my superior(PhD) and afterwards read his report about it and there are lies all over the place saying we did a lot of stuff to make the setup perfect which we never did to save time :D Or some people do nice graphs which are total bullshit. You always have to question the data behind it. And pretty often it's all wrong. I am a bit surprised with excel... it may be true from what i see but its not efficient/fun to work with, so i dont.
