Why You Should Become a Data Analyst and NOT a Data Scientist
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- čas přidán 12. 06. 2024
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In this video, we are discussing 3 reasons why should consider a role in data analytics instead of data scientist. I share the skills required and then breakdown the reasons. What are you thoughts on this topic?
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0:28 its 2012 not 2008
Even mentioned on the web page
Thank you!!!
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Hello they are asking website URL and company what I have to mention I am a student so please me to help to download the book
A Data Analyst role is better suited for those who want to start their career in analytics. A Data Scientist role is recommended for those who want to create advanced machine learning models and use deep learning techniques to ease human duties.
Wouldn’t you just become a machine learning engineer instead of a Data Scientist.
Very accurately differenciated 👌
But it's becoming more competitive nowadays
@@roncrudup2110 data scientist is more of the back end
@@Chrislokes While there is some overlap between these roles, they each require a unique set of skills and knowledge. Data analysts focus on data cleaning, analysis, and visualization; data scientists focus on statistical modeling and machine learning; and machine learning engineers focus on the deployment and optimization of machine learning models.
Data analyst: For people who want to get started with Data career ASAP.
Data scientist: For those who are already master data analyst, and are willing to level up and become harder to replace at workplace
well said, agreed with the point
Difficult get the job in data analyst.. with tableu knowledge
@@krishna2946why ? What do companies expect?
That make sense bruh
Level up? Data Analyst use to be the boss of the data scientist 👋
I've worked as a Data Scientist in France, from 2016 to 2022, and realized one major thing: companies do NOT need Data Scientists in the first place. Moreover, most compagnies just use "Data Scientist" as a label for their data-related positions. However, Data Engineers and Data Analysts are currently in demand on the market (in France, as far as I'm concerned), as the roles are less ambiguous than those of Data Scientists. Hence my switch to a Data Analyst position at the end of 2022.
And I would argue that a Data Analyst with strong coding skills, who is able to accurately translate business questions into technical problems or build autonomously business metrics in databases is the true MVP of the data world as of now.
People aspiring to be Data Scientists should definitely specialize in a technical field (CV, NLP, reinforcement learning, etc.) or a specific business scope rather than being "a jack of all trades, master of none" Data Scientist, which is an evolving (not dying) breed anyway.
Hello Jean. Thanks for sharing this detail. As a professional who's been in the "data" field for years, what would advice would you give a guy(myself) newly engaging the whole data space. I've always wanted to do data science since I first heard the word a few years ago but this new intelligence is getting me somewhat confused as to what exactly go for. Deboye from Nigeria.
Hi Jean-Baptiste, I am interested in becoming a data analyst. Can you recommend a bootcamp that's favourable?
As for France I have noticed lot of Finnancial Analysts as well. Yup it seems like Data Scientists are like more tech oriented. Whereas analysts are more decision oriented
As a mech engineer, what should I learn in order to become a data analyst? Just asking so that you can tell from the beginning
@@muhammadamazonppcmanger9513
Excel, SQL, Python or R, PowerBI or Tableau.
Take the Coursera Google Analytics Course for a foundational knowledge and to kickstart your career as a Data Analyst.
3 advantages of being a Data Analyst instead of a Data Scientist
1. The job has a low barrier to entry.
2. Tasks are tangible.
3. The scope and skill of the job are standardized, making it easy to translate roles between companies.
I'm a Data Scientist, and I would say all the mentions in the video are so true!! However, I will keep in Data Scientist because of the salary 🤣
All about the Benjamins😆
Is the difference in pay between data science and data analysis that big?
Hi! I have been deciding whether or not to finish my bachelors or do the program certification from UC Berkeley for Data Science. Many ppl have told me don't waste time on getting a degree and learn how to do the job, get experience is better than having a degree these days. What is your expert opinion? Thank yoU!
How to join that cource job assurence
@@zebakiin7403Yes, it's almost triple if you've 3-4 years of experience in Data Science.
Data Science is the future of this modern era. Data Analysis is kind of obsolete.
Recently dropping out of a software development degree at a local community college was the best decision I could make. I am not about to waste another four years in academia only to have the same bad luck I have had since 2017 when I graduated with my master's degree. Instead, I am focusing on Excel, SQL, Tableau/Power BI, and presentation skills. Once I am getting paid and not incurring more debt, then I will focus on learning coding and more advanced topics.
Thanks for sharing! What made you choose data analytics over software engineering?
@@SundasKhalid I did a Business Analyst Internship last summer and really enjoyed it. There seem to be some commonalities between a data analyst and business analyst. I like coding but I like working with numbers and seeing what we can do with data even more.
I have a master degree in aerospace engineering and i just started taking courses on my own for advanced excel, then SQL, Tableau/Power BI, Python, presentation skills and negotiation skills. My goal is to become a self learning data scientist but i kind of agree with this video and maybe I'll settle being a data analyst instead. Any suggestion is welcome!!!
Yes I'm trying to enter data analytics also but struggling with learning SQL, so I'm doing a SQL certificate, before I get back to course 1 of the Google Data Analytics Certificate.
@Defying Odds Donnelly thanks, I have been using/watching Alex's channel and Coursea, 2 SQL Courses, including the one that is taught by Sadie. I have started Alex's bootcamp as well. Thank you for the suggestions, I will keep Udememy in mind, I know Alex has mentioned them also.
Low barrier to entry → Excess supply → More competition → Lower pay.
I'm a software developer and I literally shed tears at the amount of academic qualifications and work experience you need to actually land a job in data science (I'm talking about 3 years of research, I didn't make this up. You can check it up if you care).
While you could land a job in software with 3+ years of projects and no working experience
I didn’t know how much of a fast track to a good job being a data analyst could be. An old co worker from my first engineering job out of college was a data analyst, he got his certification at a community college, and the guy was making nearly 100k per year. Basically more than I was making right out of college, I was just impressed at how little time he spent in school compared to how much he was making, for a lot of engineers, you pretty much have to “prove” your experience/expertise before you start making those big$$$. I just wish I’d done more research before I went to college initially, I probably would’ve did that job.
My short term goal is to become Data Analyst.
My long term goal is to become Data Engineer.
It's a very achievable path. My coworker (who was an analyst for about 3-4 years) just got promoted to data engineer.
I have 3 YOE as a DS in academia and now working as a data engineer. I controversially want to “go backwards” and do analysis/BI. I enjoy looking for business insights…
I love watching your videos! I'm an electrical engineer who was introduced to Data Science in my MBA classes and I've been doubting myself being able to switch into this career and job family but your videos have been so helpful to give me confidence to know what I'm walking into and what my strengths are. Thank you so much for this, it really demystifies a lot and ironically this video cemented for me why I should be going for data science and not analytics! 😆❤❤
She just said to go for data analyst and you're still being stubborn? What's wrong with you?
Good video. This made me go for data scientists role even more. Thanks for pointing out(vaguely) the roles of each job profile.
After reading 80 jobs descriptions, I find Data Science much more interesting!
It’s becoming more standardized, it involves everything I love: Coding, creativity, problem solving.
I will soon start an internship as a Data scientist
Hey! Could you please elaborate on how data science involves creativity?
I'm a student right now and I'm deciding which career to choose so your feedback will be of great help to me :)
THIS SAME!
@@kanishkachhabra7296which cllg r u from?
@@kanishkachhabra7296 often you need feature engineering (creating new features from existing ones), combining multiple techniques (for feature selection for example) to build a good model. You could combine multiple models, etc.
There are so many things you could come up with and they require you to be creative
@@becayebalde3820hii..
What are you doing currently..
Got your job..
My reflection on data science is the following: "Everybody talks about data science, however nobody knows and gives a clear definition of what a data science does." I think that since it is a new discipline, it will undergo the same transformation as the so-called "Web master" in its time, when there was no clear line of what a web developer should know. I think that the term data science will disappear over time, when the fields of study are well defined within the area of artificial intelligence, which has been responsible for these "cool" definitions of pure marketing.
lol by your logic every job will be vanished
@@DashingData66666
LOL that's not what he is saying.
He is saying that it might be possible that the term Data Science will gradually vanish, and will be replaced by other terminology corresponding to the future structure of the current Data Science field. Same as the old term Webmaster, the field of Webmaster hasn't vanished, it's just been replaced by terms relevant to the type of work in the field like Web Developer, Web Designer, UX-UI Designer, DevOps Engineer, etc.
@@authorminator1579 shut up don't take his side
@@DashingData66666 Your dashboards are ugly.
I agree with everything mentioned, although, Data Science will teach you everything you need…although you do not necessarily have to be in that field after, can do whatever field you want: Data Analyst, Financial Analyst, etc
1) Low Barrier To Entry
2) Building tangible things ( build dashboards, rapports, etc)
3) Scope and Standardization
I agree with you that data analyst can produce the tangible product. I think for non-IT businesses data analyst with the strong domain knowledge of business can have a big impact to the company
In data science you also need to have domain knowledge (a way of better defining "business knowledge")
My old team director made sure when we changed some of our titles to get more alignment with what the market pays he made sure we all were data scientist title vs the data analyst title. Even though my old team did more data analytics work about 90 percent of the time. Difference of pay is like 30-50k.
i am amazed to see someone explained it so simply, great job !!!
I did study statistics and a bit of computer science and I went for analyst. I would never go for a data scientist job. Data scientist is a highly specialized workfield where nobody but your colleagues have an idea of what you do. If you want to get into management positions sometime in the future, being a data scientist makes it way harder. The analyst talks to all the department leads, knows about most things the company does and wants and is therefore more equipped for management positions. Data scientists don't have that and live a bit in their own bubble.
Finding job in Data Science is too difficult. They require deep knowledge of deep learning, CV, cloud computing, Deployment and lot. Getting a job as a fresher is so hard.
I actually am doing both. I took a bootcamp in data analytics and it is straight up just tech stack on tech stack. Meaning you just kind of "do things.". Examples like cleaning data, visualizations, basic EDA with basic statistics, excel, formatting tables, etc. I'm going to school for my masters in Data Science and omfg it is way more abstract and is practically a statistics degree. More than 85% of the courses I have to take is statistical mathematics focus. You do a lot of Vector Calculus along with linear algebra. You are practically learning to think and implement rather than be a "coder". There is less emphasis on learning tech stacks. My statistics professor always makes fun of us Data Science students and asks what is the difference between statistics and Data Science. My answer is you can do both coding and statistics on a mediocre level, but you are never really good at both. In my previous two companies the data scientist isn't a python developer like what most people probably think. They are usually writing formulas and equations on the board and using python to automate and calculate their models. I have a lot of Full-Stack developer friends who always confuses data scientists with python developers to this day lol.
Two remarks:
1. I disagree that being a data analyst is a better career choice because it has a higher likelihood of getting obsolete. As data analytics tool are becoming more easy to use, more domain experts will be able to perform data analyses by themselves
2. A data scientist builds tangible outputs as well, they are all kinds of predictive models
Agreed on the first point. As LLMs advance, domain experts will be able to use basic sql/dax entries easily like you said. It's a role that will get automated easily.
what do you think about cloud computing and its possible automation, and how long do you think that data analytics will remian in demand.. thanks for answering
Thanks sundas khalid for an very informative share! Its clearly explained!
I have a master degree in aerospace engineering and i just started taking courses on my own for advanced excel, then SQL, Tableau/Power BI, Python, presentation skills and negotiation skills. My goal is to become a self learning data scientist but i kind of agree with this video and maybe I'll settle being a data analyst instead. Any suggestion is welcome!!!
hi, I am also pursuing a course in engineering too and I am aspiring to become a data scientist
Thanks to this video finally I have known where to focus my transition to. I will go for data analyst
Thank you for creating this video. It makes a lot of sense and it's very helpful.
This makes sense to me. Thanks for the video!
Excellent overview! Thank you.
Very informative! This is a very common question and I am sure many people will benefit from this video.
The salary aspect of each would be good to compare. I am currently transitioning from business analysis to data analysis, and looking at job ads I see data science being a much better paid profession than data analysis.
Thank you for this video. Do you have one that compares a data analyst with a business analyst?
Data analyst means practicing 1 trick 10 times
Data science means practicing 10 tricks 1 time each
Do data analyst wins
Your videos are always unique and crisp.I love it.❤️
Great Content! Great Job, Sundas!!
First of all, thank you for the great video! 😊These kinds of videos make decision-making much more informed. I wanted to ask you your opinion.
So, I'm a Senior Digital Marketer, who is also getting better at Digital Analytics. I'm getting more and more interested in furthering studies in Data Analytics, especially in building things (which I enjoy the most). Do you think it would benefit me career-wise to study deeper Data Analytics? I feel that it probably would and maybe would also secure my future in the sense that then I would have two angles in my career to pursue if, for example, the other one is less in demand.
I have been wondering myself which one I should pursue because I really like machine learning but I don’t have a masters or PhD. Not even a bachelors degree. I know of a guy who became a data analyst without a degree. So yeah 🤷🏿♂️
I am an experienced Data analyst without a degree. I pursued Bsc. Electronics Engineering but later dropped out due to some challenges. I later transitioned into the data analytics career.
@@factsandfiguresafrica9189 wow that’s cool. I was pursuing a computer science degree but I dropped out… what county are you working in?
@@factsandfiguresafrica9189 how did you transition?
I'm a former analyst now turned data scientist without a college degree. Getting the job requires networking, keeping the job requires skills. I "broke in" to analytics by meeting people and getting introduced to opportunities and I was able to move up from analyst to DS by proving myself I had the skills. It took a while (4-5 years) but it paid off
@@zachmanifold how long did it take you to to become an analyst in the first place?
Brutal honest assessment. 🎉😢 Thank you
Just finished my Coursera Google Analytics Certificate and I recognized Sundas there! Happy to learn from you here on CZcams too~
Congratulations on finishing the course 🎉 glad you found me here :)
how much did you pay for the course?
Not everyone studying this wants to be an employee. Sound like Data Science is well suited for entrepreneurs for market research.
And after that what we do with research?
I live in pakistan where opportunities are very less. Like I cant think of any scenario where I can survive with out being employee.
freelance platforms are already very saturated.
If you are still in this field please guide me 😢
I am always wished to be a data analyst which is my passion and I hope I will expect more from you sundas......much love❤❤❤
Hey there! I have a brief question regarding data analyst roles. I'm currently applying to Bachelors programs and I wanted to know if doing a general business degree will suit a data analyst profile? I understand that many do computer science and economics degrees before become data analysts, but I'm hoping that a CS or Econ degree isn't a must for this field. Also, will the lack of a math heavy focus in my bachelors impact my future prospects as a data analyst?
A degree in Management Information Systems is ideal for a Data Analyst position.
I live in Costa Rica, I have been learning data analytics path and is difficult to find a job in that field in my country. I will continue with it at all because it's the future
Hi there, would really appreciate if you could add some bit about risk analytics as well in your upcoming video. BTW great content!!
I know cleaning modeling and transferring in python, hands on mysql, Tableau and now learning machine learning
I want to become a data architect, I'm a mathematics student and my project is to finish my studies at the age of 25 with 3 master degrees: applied math, mathematical engineering, data science.
Is this choice smart considering that my university fees are extremely low?
My retirement perspectives is so bad, I'd retire at the age of 75 circa.
Wasting two years of experience in the long run may not be that tragic if I get broader basis, what do you think?
This video is so valuable. Thanks for sharing.
I started my career as an analyst for a few years mostly building Tableau reports and transitioned (same company) to data science where now my projects are basically translating problems into a statistical context and either doing inference, optimization or building estimators. However, the biggest problem with my company is that our process of deployment is garbage. It's something we're actively working on because there's so much red tape involved with "what you can and can't do"
I'm currently studying for the Google Data Analytics Professional Certificate. My plan is to start as a Data Analyst, build a strong foundation on coding, maths and statistics, learn ML frameworks such as TensorFlow and OpenCV and eventually transistion into the Computer Vision field as a Data Scientist. Is that a reasonable path to take?
Hows it going? Im thinking of taking the same path as you. As id like to become a data scientist right away, i think its smarter learning the basics of data analytics first and then slowly transitioning..
@@giacobbesmeraglia1 I got the Google certificate last month. Now I'm totally focused on data analysis. So I'm adding Pandas, NumPy, Power BI, and Matplotlib to my tool belt and developing my portfolio with some data analysis projects. Hopefully, I'll be able to start applying for jobs within a month or two
The Barrier for Entry may vary from country to country. Some employ only people who graduated in business informatics and on top skilled in Python, R, SQL, Tableau, Excel, etc.
I am currently studying postgrad in social data science (or quantitative political science) for the second time. I burnt out the first time and could not complete it because of mental health.
It's very challenging, but also very rewarding. I have learnt so much, and a lot of my skills are transferrable to many other areas 😅
About the e-book to download it, it requires "Website URL" and "Company Name". What if I just want to download it cause I want to expand my knowledge? Cannot go on without a webside or company?
Hi there I like working with the data but I am struggling with DSA and Machine Learning. Yes I’ve tried DSA alot but I got fed up. And this is not like I started just now or few weeks earlier. I’ve done the DSA back in college so I know how basically Prims, Kruskal, Djikstra, Bellman-Ford, etc algorithm works but I never enjoyed doing that. But I liked query languages like SQL, MA Access. Yes I suck at understanding Normalisation lil bit.
I have joined Data Science live course but my mind is blowing there.
Should I switch to Data Analytics or let Data Science continue?
I've had both roles, and I have to say this video was spot on. Well done.
as I see it:
- junior= data analyst
- middle= data engineer
- senior= machine learning engineer/ data scientist
Data engineer is a very tech focussed role. None of the data analysts that I work with want to go into data engg as there is no analysis involved.
@@kurjac5480hello can a non tech bio graduate person become data analyst?
So are the google career certs worth it? They have one for data analytics. Is it enough get entry level?
Great effort, thank you sundas
The moment I heard advanced statistics and linear algebra, I saw why Chat GPT and any future AI will essentially take the math aspect off your back when asking the right questions so you can focus on the bigger picture.
Would you recommend the data camp course for data science?
So if i'm just starting out _(I am a graduate in Bsc Computer Science)_
Should i go for Data Analyst? or Data engineer?
I am looking for a data analyst role for the last 6 months but not getting it. can someone please help me or guide me on the same.
So low barrier of entry means more competition which then means lower starting salary than data scientist no? Especially when yiu can just do a regular bootcamp
what would you suggest to a person having couple of years of gap?
where to start n how to start ?
Interesting.
I'm currently enrolled in the Google Data Analytics Program on Coursera. I'm curious what your opinion is of this program? Is it enough to secure a first job in DA? Thanks
Same I'm also pursuing that
I am a 2022 graduate in mechanical engineer and want to start my career in the field of data analytics. I learned the required skill set but finding it difficult to get a job. Please guide me for the same if possible.
Thank you for this video. 😊
Which video or guide would you recommend for a beginner in Data Analysis?
What is the difference between the two? And hiw is it different from a statistical engineer? And a statistician?
Thank You for the amazing video. I am your fan, dear Sundas. keep uploading more informative videos. I will be always waiting for your videos. Insha Allah Thank you.
I have taken online python course in data analysis in Finance, but i feel its really difficult to use it in everyday life, unless i get a entry level job, which is unlikely. Though i have been using it to solve assignments in portfolio analysis at uni. now i am trying to learn HTML. but i feel i gonna lose my focus. I want to stick to python and data analysis, but i am stuck. not sure whether to learn SQL or top it up with HTML, i feel html kinda feel fun and easy at this point. also where to learn. there are so many platforms
Love the French sweater ! :) Thanks for the content !
It's been my observation that data analysts also build machine learning models. In some of the courses or boot camps, data analytics students also need to master regression models, classification models, clustering, etc. The line between data science and data analytics can be blurred. Can you speak about that? I think data analysts also need to learn a lot to build up an arsenal of tools besides just Tableau and SQL
Your video made me love Data Scientist more
I am currently doing my 2nd year Masters degree in Mathematical Statistics, and also trying to apply for jobs in Data Analyst/Data Scientists roles...
This was a wonderfully persuasive argument to become a data scientist rather than an analyst.
Mam, when will the guidance video on Product Analysis be out ?
I don't have good presentation skills and communication. Which one would be better for me?
Thanks for the concise and quality information.
I'm very interested do people who are sayings that the job of a data analyst is automated by AI actually personally know a single data analyst who last their job to AI.
As a student in business major, is it possible to change career to data analyst?
Really Helpful appreciate it
Great content. Very useful.
Why choose just one, if you can learn both?
Amazing breakdown thank you
But in any of your previous veidos you said that data analyst is little tough at working.... Please clarify?
I love your accent 😊and the video very informative and without water 😊 thank you 🙏
Hi Sundas...I have total 6+ years of experience in Qliksense+ SQl and I want to be core data analyst.....I am thinking to take Coursera DA courses ???? And do you think doing these Courses would help me to justify 4-5 years of Python R experience for job?????...Need your help on this...I am in chaos right now
Pls do ur analysis on computer vision and Deep learning
As a data scientist, I make far more than most data analysts. I'll gladly stay here.
me 2
@@DashingData66666 do you have a masters how did you get into the field. Is boot camp advisable? Thanks
@@kennybalogun-kuku9953 masters
@@kennybalogun-kuku9953 try to do masters from CMI india
if u crack the exam u will get the starting package of 30-35 LPA
@@DashingData66666Got it, thank you
Sir, is data science /analis have to bachelor graduated, is senior high School graduated can work become data science /analis . Thank you
thanks for your content .. did chat GPT and artificial sconce will affect to these kind jobs .
i dont have an IT backgound i stduied english a the university without any degree i have like 5 years experience in web development ( php , mysql and javascript ) with my literature background i have started learning math to change a career from web development to AI or data science but i need to keep my web develompent skills because i love that and by learning python i wil learn some web scrapping ( selinium ) with a framework like ( django or flask )
Clear information, tqs
Can you please tell in which job there is also the requirement of domain knowledge:
Data Analyst or Data Scientist?
both
6:36 its been 4 months since i wait for that product analyst video.
Thank you mam ❤
All the time your my favourite ❤️
this is like saying why you should become a front end web developer versus a software engineer. The complexities of tasks are lightyears apart
Hi Sundas your videos are very nice, I am from totally non tech maths background, but I do want to have a career in data analytics, can you guide me what to do? So that I have a clear path