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.
@@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.
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.
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
@@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.
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.
@@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.
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
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 🤣
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!
@@ZebakiinYes, 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.
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.
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
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 :)
@@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
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.
@@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.
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
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.
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 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! 😆❤❤
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
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.
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.
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
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 😅
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.
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
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
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!!!
This video just says Data Science is a tougher job and tough to get into, and hence it pays more, while DA is a more standard role easy to get into. But that's what is interesting about DS role, it's more interesting and challenging and rewards with more
This video only makes sense from a newbie perspective. If you wanna stand out in the market, you'll probably need to learn techniques from both fields. And the fact data science is tougher will make you stand out even more. Everybody calls themselves a data analyst nowadays.
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.
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?
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.
Note that the data analyst job won't be around for long. Basic analysis and reporting is being automated away by chatGPT and other upcoming products. Want to have a long term job then please choose something that's hard to automate in the short term at least like data science. The future belongs to experts , so whatever you do make sure you are very good at it.
I liked the points presented but the takeaway in the title is a bit of a click-bait. The 3 advantages mentioned in favor of a data analyst - low entry barrier, tangible tasks, standardized work - are associated with more junior roles. The untangible tasks and the lack of standards are typical componentes of more senior roles, which overall add more value to the business and get better pay. I totally aggree a data analyst should be the first choice, but once you matures in that role, it's quite appealing to narrow the scope, with less dashboards, and more coding/models/advanced math, to get a better pay as a data scientist.
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
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
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.
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.
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.
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 see many people who claim that they are data scientists, they build models and the models seem to give good predictions but they have no idea why and how. To work with data, data scientists need to have an in-depth understanding of the nature of data and very advanced mathematical skills. A lot of companies are still immature, they combine skills from data engineering, data analytics, software engineering,...etc in their job advertisements, which is very challenging for people to start their careers. I suggest starting data analytics to understand data and business, then it might be easier to upgrade to data science.
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 😢
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?
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.
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
Just saw your video in which you explained why other roles like data scientist and data engineer is better than data analyst, and in this video you are explaining why is data analyst role better than data scientist, am I the only one who is confused? 😐
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?
Download FREE Intro to Python eBook by HubSpot 👉🏼clickhubspot.com/rbi
0:28 its 2012 not 2008
Even mentioned on the web page
Thank you!!!
You are beautiful and I like you🥴🥴🙄🙄🤔🤔🤔🤔
yar tumharah chehra ko kiya huwa hai? kafi glow kartay thay cheks pehlay tou?
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.
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.
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.
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 👋
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
@@ZebakiinYes, 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.
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.
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
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.
Low barrier to entry → Excess supply → More competition → Lower pay.
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
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.
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"
Good video. This made me go for data scientists role even more. Thanks for pointing out(vaguely) the roles of each job profile.
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?
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
Just finished my Coursera Google Analytics Certificate and I recognized Sundas there! Happy to learn from you here on RUclips too~
Congratulations on finishing the course 🎉 glad you found me here :)
how much did you pay for the course?
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.
In data science you also need to have domain knowledge (a way of better defining "business knowledge")
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.
@@zachmanifoldAlso agood entry point for someone coming from software engineering
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.
Data analyst means practicing 1 trick 10 times
Data science means practicing 10 tricks 1 time each
Do data analyst wins
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.
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
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 😅
Your video made me love Data Scientist more
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?
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
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
i am amazed to see someone explained it so simply, great job !!!
This was a wonderfully persuasive argument to become a data scientist rather than an analyst.
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?
Great Content! Great Job, Sundas!!
Hi Sundas,
Did you ever do the product analyst video? ...I couldn't find it!
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
This video just says Data Science is a tougher job and tough to get into, and hence it pays more, while DA is a more standard role easy to get into. But that's what is interesting about DS role, it's more interesting and challenging and rewards with more
This video only makes sense from a newbie perspective. If you wanna stand out in the market, you'll probably need to learn techniques from both fields. And the fact data science is tougher will make you stand out even more. Everybody calls themselves a data analyst nowadays.
Excellent overview! Thank you.
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❤❤❤
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.
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 makes sense to me. Thanks for the video!
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.
Note that the data analyst job won't be around for long. Basic analysis and reporting is being automated away by chatGPT and other upcoming products. Want to have a long term job then please choose something that's hard to automate in the short term at least like data science. The future belongs to experts , so whatever you do make sure you are very good at it.
it's just a foot in the door. can branch into Business Analytics later on for example
Thanks to this video finally I have known where to focus my transition to. I will go for data analyst
This video is so valuable. Thanks for sharing.
Thank you for creating this video. It makes a lot of sense and it's very helpful.
Thanks sundas khalid for an very informative share! Its clearly explained!
I liked the points presented but the takeaway in the title is a bit of a click-bait.
The 3 advantages mentioned in favor of a data analyst - low entry barrier, tangible tasks, standardized work - are associated with more junior roles. The untangible tasks and the lack of standards are typical componentes of more senior roles, which overall add more value to the business and get better pay.
I totally aggree a data analyst should be the first choice, but once you matures in that role, it's quite appealing to narrow the scope, with less dashboards, and more coding/models/advanced math, to get a better pay as a data scientist.
Is presentation required as part of the job for data analyst? Like going in front of people and giving a presentation of any kind?
Yes, that is common
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
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.
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
Great effort, thank you sundas
Why choose just one, if you can learn both?
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.
Brutal honest assessment. 🎉😢 Thank you
Data Analysts: easy way out
Data Scientist: the hardcore math and programming geeks
Thank you for this video. Do you have one that compares a data analyst with a business analyst?
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.
Thank you for this video. 😊
I know cleaning modeling and transferring in python, hands on mysql, Tableau and now learning machine learning
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.
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?
Clear information, tqs
Hi there, would really appreciate if you could add some bit about risk analytics as well in your upcoming video. BTW great content!!
I've had both roles, and I have to say this video was spot on. Well done.
I see many people who claim that they are data scientists, they build models and the models seem to give good predictions but they have no idea why and how. To work with data, data scientists need to have an in-depth understanding of the nature of data and very advanced mathematical skills. A lot of companies are still immature, they combine skills from data engineering, data analytics, software engineering,...etc in their job advertisements, which is very challenging for people to start their careers. I suggest starting data analytics to understand data and business, then it might be easier to upgrade to data science.
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 😢
what would you suggest to a person having couple of years of gap?
where to start n how to start ?
Your videos are always unique and crisp.I love it.❤️
Really Helpful appreciate it
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?
Love the French sweater ! :) Thanks for the content !
Great content. Very useful.
Economics,Finance,Accounting: Data Analysis
Math,CS: Data Scientist
Data science is something, which over Data analyst under its umbrella.. So feeling sorry for those who are thinking data analyst are better
So if i'm just starting out _(I am a graduate in Bsc Computer Science)_
Should i go for Data Analyst? or Data engineer?
Are the business Analyst and product analyst the same role?
now i am more confused to what to do
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.
6:36 its been 4 months since i wait for that product analyst video.
I'm a Data Analyst but most of what I do is Data Preparation and cleansing.
Amazing breakdown thank you
but is data analyst will be automated??? this is important question please answer me.
Why do companies have asking for machine learning skills to work in a Data Analytics role?
good points , but a good data scientist is always a good data analyst , but a good data analyst is not always a good data scientist
What is the difference between the two? And hiw is it different from a statistical engineer? And a statistician?
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
Just saw your video in which you explained why other roles like data scientist and data engineer is better than data analyst, and in this video you are explaining why is data analyst role better than data scientist, am I the only one who is confused? 😐
But in any of your previous veidos you said that data analyst is little tough at working.... Please clarify?
hi, thanks for the infos
Why should you become a nurse and NOT a surgeon?
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.
Where can I buy that GitHub ring light?
As a student in business major, is it possible to change career to data analyst?
Mam, when will the guidance video on Product Analysis be out ?
can I learn data analysis if am not good with math?