Thanks Alex for all the advice, I finally landed a job as a data analyst at a tech startup. If anyones interested, I made 143 applications, had 7 interviews and got 3 offers. The process from starting the google course to landing a job took just under 3 months (I was unemployed and working on this full time). Hope that helps anyone who's looking for their next job!
Congratulations Akshay, can you please let me know the process in detail like after finishing the Google course what projects did u finish and so on until landing a job. As I’m in the similar process thank you.
@@mobinasalema8484 I finished the course, followed Alex’s portfolio series and did the ones that suited me. Made a website (following Alex’s video on this) to host my work and then began applications. Most recruiters didn’t take a look at the portfolio, but those who did were impressed. Talking to hiring managers I found out that it’s pretty rare for applicants to have a portfolio (at least in the UK). Be prepared to answer questions around the work you present. I made my first application 10th Dec 2021, I got my first offer 28th Jan 2022. Hope that helps :)
Dear Alex... In 2 or 3 years from now I will look back at what I have achieved and I am pretty sure your channel will be one of the things I will be more grateful for... Thank you for all the important information you share here!! All my admiration from a Venezuelan young student living in Europe! :)
No se por que chama, pero vi tu comentario y me llamó la atención. Al verlo pensé: "Esta parece tener el ímpetu correcto. Me identifico". Y mira tu, que estamos en una situación similar. Te manda saludos este compatriota que también estudia en el extranjero. Éxito en tus proyectos✌🏻😁
Amazing video Alex! Can't believe I'm just watching this now haha. I'm a data scientist at a larger company and I wanted to also comment that there's also the data engineer role that is becoming more hot and covers the data cleaning and dashboard creation part :)
Thanks Tina! That is very true! I actually just did a whole video on the Data Engineer vs Data Analyst. Data cleaning is a lot more important than most people think!
hey! im a med student but currently looking for a potential career and, ive always enjoyed maths at school, and am considering data analyst. May i ask what you studied to get your role?
Great job on being concise in your comparisons between the two different job titles! I begin my master's in data science this January! I do plan to start applying to data analyst positions in the spring after I get my Oracle Database SQL Associate Certification, and may consider going for an AWS Cloud Practitioner certification as well.
Hey Alex! Recently discovered your channel - great stuff mate :) Fellow Data Analyst here. I was considering a switch into DS and I started studying up on ML and deeper stats. After a while I realized that I don't think it's where my passion lies. I love the jack-of-all trades role of the data analyst and I just don't think I have a drive to go really deep into understanding the maths behind all the ML algorithms/models. It's easy to fall into the trap of 'data scientists earn more so I'll head in that direction' but for me that would mean sacrificing job satisfaction. I think my ideal role is an analyst role with a little bit of ML stuff mixed in to keep it fresh. :)
I feel sort of the same way. I tried the ML stuff and it wasn't for me. I really like the database work and have been working a lot on my skills in Data Engineering, but still love DA work. It's all about finding what you enjoy!
That's great! But I do agree it's hard to know your worth without the traditional degrees. I mainly focus on the value that I add to the company. Am I adding a lot of worth in a high-paying industry? If so, I should be paid accordingly. I that is similar even if you do have a degree. You then have then have to weigh your experience and skills. Overall, I think it's really about knowing what value you add to a company. Congrats on your success!
I am going the self taught route too. I have a PhD in Petroleum Engineering. Can I continue on this route without having to take a degree in computer science.
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit: payhip.com/b/ndY6 You can download the sample pages so as to see the quality of the content.
Good luck Daisy. You can definitely do it! If there are any stats/ML/coding electives, always go for those. Especially Categorical Data Analysis or Non-parametric stats.
As I am seeing this, they are close/thin in general. But DS/DA is like Quality Assurance/Control, where first QS or DS has more "under the deck", for someone who is quite experienced in IT and computer science - speaking as Coding. But as DA is thing what I am personally doing, I learned tools as PBI, SQL, Excel ofc by myself...and always is trial/error, but mostly successful. Good video anyways, good comparison.
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit: payhip.com/b/ndY6 You can download the sample pages so as to see the quality of the content.
I must point out that QA/QC are often used together and/or interchangeably. The difference is more in the realm of process vs practice. QA is the process side: ensuring that measures are put into place along with procedures. QC is the application of the quality measures.
@@TheTHe0DB From my experience, definitely. Took an Analyst role for my Government which helped me land a place for a MSc in Data Science. Id recommened a similar approach if you do not have a Comp Sci background. For me personally, I had a BSc in Political Science which wasnt enough for the MSc entry requirements. In all honesty, they were right. Without the work experience, I would had struggled big time.
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit: payhip.com/b/ndY6 You can download the sample pages so as to see the quality of the content.
I graduated two years ago with a BA in Urban Studies (very random but it's essentially a social science degree). I worked in tech briefly after graduating and worked in data operations (got experience data cleaning, mining and creating dashboards with SQL and Tableau). But I took some time off this past year for a "gap year" experience of sorts (I was supposed to be traveling internationally but due to the pandemic I ended up working with kids instead). Currently working as a research assistant and learning more quant and qual analysis tools and have started to realize I want to become a Data Analyst. Due to my non-traditional background I know I have a lot of work to do on my own. I am planning to start the Google Data Analytics Certificate course in coursera soon and start building a portfolio. I hope my random degree doesn't hurt me in my prospects but I figure I can't change the past so I might as well just focus on learning skills through my current job and classes and my own projects and work my way up. I don't want to get a Master's unless absolutely necessary just due to the costs of graduate school. Thank you for your videos they are really helpful in these early days for me!
@Lydia, your expression reveal that you have a good profile. Best way to have postgraduate degree at little or no cost is to make a schedule to apply for scholarships weekly. Getting higher degree will boost your chances getting job but it doesn't make you creative and a problem solver until you possess hands-on skills. Good luck!
@@abdofeduconsult thank you. I am starting with the self teaching route and building from there. If graduate school ends up being necessary I’m open to it
@@roar6047 I'm in the exact same situation. I took Sociology because I wanted to study human trends, then I took a master in HR, because I wanted to study human trends in the work environment. Meanwhile I got a job in the pharmaceutical industry and starting doing a lot of data mining, dashboards and reports, and now I understand that analyzing data is what really excites me. Along my journey I noticed the thing that most excited me was quantitative studies and statistics, but I always thought it was due to the subject. I'm thinking about getting a pos grad and just try and legitimize my position and get some skills to actually work as a data analyst! Good luck to you, it's cool to know I'm not the only one! :)
@@Findmeonthatcorner Your background sounds really interesting and yes I am glad to know I am not the only one as well. Best of luck to you too! :) We got this!
I will be happy to become data analyst rather go greedy for data scientist salary, it will be much easier for entry level and will help career growth faster. Thanks again.
The firsts insights of Data Science where taught to me by an ex-CERN Physicist who currently was working for a big business. Since then I've wanted to be a Data Scientist 😁
Honestly, the best Python coders are Physicist because they have to make extremely complicated models. When my professor was part of the group that discovered boson particals. They had somewhere around 1.2 million lines of code. I believe he knows Python better than 99.9999% of all Python developers
@@AlexTheAnalyst hey I'm currently doing a data science degree and I more interested in zoology industry most likely wild life so I'm planning do a zoology degree as well so I want to know whether it will worth or not
I'm discovering there's crossover as a grad of Data Science and Visualization from Northwestern. Basically, data analyst are now producing what data scientists previously produced (ie Machine Learning, Python, R, SQL). That tells me that companies know there's such a high supply of candidates that they can literally overlap their responsibilities and offer lesser salaries of a data analyst but expect higher level knowledge and skill sets more akin to that of a data scientist. It seems that specializations related to data scientists is what separates them into the higher salary ranges (ie AI, Robotics, Research, Seniority/ Experience, Cloud Expertise).
Just found this channel. I had been looking at Data Analytics, went into Salesforce for a while, now want to do Analytics in Salesforce, healthcare preferably. I'm excited but not sure what to do next. I'll continue to learn.
Dear Alex, I had done a dispensing optician course back in 2012 and got a job as an optician but I did not like it. I am currently doing administrative work for a very small organization. They are on ground level with their website and needed me to update it. I work with the computer engineer who designed the website and he started teaching me how to code. Iam still learning with him. I also did a basic computer course in microsoft office. I like problem solving a lot and math and I was looking up careers involving those traits and data analytics came up. Then I stumbled upon your videos and I was astounded that they were free to learn the basics of the field. Thank you for making it available and my goal is to become exceptionally well at the skills you recommended follow your videos and apply for a job. I don't have a degree but I do have determination.
The smaller the company hiring, the lower the requirements, and the greater part of the full stack you have to cover. You learn more in a small company but it's bad for your health.
My experience Big companies is full of bureaucracy and stupid rules and most terribly, they have tons of legacy outdated software and systems that they are still using. While the smaller company had a much lower pay but you do get to cover a much wider range of tasks (because no one really know what to do) and one does enjoy the degree of freedom to approach problems.
I'm a public health/premed major and was thinking doing a minor in data analytics. I have a heavy interest in population health and want to focus my practice on certain demographics, plus I wanted more computer skills, so I thought maybe Data Analytics would be a good minor.
You might want to also consider minoring in public health. Public health can be specified to epidemiology (which essentially is the gathering, tracking, and analyzing public health data). To be an epidemiologist professionally, you'll need a masters in public health. Hope this helps.
I recently have got the admission in university of Koblenz-Landau, Germany for master's of web and data science program. I wish to achieve higher in this field. Love from India, dear sir🧡🇮🇳
I am from India. IIT Madras, a reputed university, has just started adegree for data science. I always wanted to be in this area, but never knew that which was better suited for me- analyst or scientist. This video actually helped alot. I was so relieved when I realised that all the skills required will be covered in the degree. Plus I have a degree in Maths, Statistics and Computer Science. And I am planning to go for a Masters as well. I guess things will work out!
@@maanavarviruppam4014 hey! I am doing maths hons. From DU. Anyone can do that degree in Data Science from IIT Madras (degree or college don't matter). The qualifier round is pretty easy. Just check their website. Brochure will give you a good idea!
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit: payhip.com/b/ndY6 You can download the sample pages so as to see the quality of the content.
I'm a data analyst but in Indonesia. I live in one of the lowest provincial wages. From my provincial perspective, my salary is high, but if you compare it to Jakarta's salary, my salary only minimum wages. I agreed that this field of job is something that will be popular in the next decade, that's why I'm trying to polish my skill and hopefully can move to a better office in Europe or NA.
Look at job openings, etc. and see what requirements are for data analysts and data scientists and you'll know right away lol. A huge chunk of data scientist jobs require masters or PhDs, as you mentioned in your video.
Great video Alex. Really encouraged me to study more. BTW I just finished my data analyst career path online and I started practicing it on some datasets. For data visualization, I started studying tableau public and dashboards in excel. Thanks for your help, man. More power to you and your channel. Stay safe.
Hey Marvin, I am just starting out on my career as a data analyst. But, I have failed to find a great online platform that I can take my courses on. Can you please help with this info? Good to know that you are working harder
Namiiro Donna I have some links in the description that might help. I’ve been using Coursera for a long time and I love it. In the description are some courses I recommend 👍
Thanks for the video. I had the same thought that breaking into the DS field will be easier if I first make a transition to a Data Analyst role instead of a Data Scientist. I'm preparing myself for it...Thanks for the continued motivation through your videos 👍!!!
I recently got interested in the data science area and I am planning to finish my bachelor's in Bussiness to this area. This video helped me realize I should aim first to become a data analyst, and in the future think about becoming a data scientist, since I dont have much knowledge about machine learning and programming, so I should take it step by step
I don't know dude, the data scientist / analyst is far overlapped....generally speaking analysts tend to make a story and drive business whilst scientists are just building the best mathematical model. That's all really.
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit: payhip.com/b/ndY6 You can download the sample pages so as to see the quality of the content.
This 7:49 minutes video was indeed helpful to me. infact, it was more like an eye opener. Thanks alot man. I hope to implement diligently the knowledge gained from the data anlaytics courses i'm currently enrolled into, and finally land a job as a data scientist few years from now.
I just discovered your channel and it has given me the tools I need to become a data analyst. My family keeps on discouraging me, but I have had the love for this career since high school. How can I look past the negative and focus on improving my skills?
Hey Namiiro, I’m so glad my channel has been helpful! Sorry to hear about the discouragement. The best way to not get discouraged is to make progress! Keep on improving and when you make it there will be no better feeling. Gotta keep going!
Hi Alex. Can you please talk a bit about the importance of domain knowledge? In some industries, such as medical, especially when involves lab equipment, doing data analysis can be very challenging just because of the lack of context.
I have a question for everyone: Does it make any sense to start the career being a Data Analayst and then learn ML and other modeling tecniques and move to Data Scientist? Thanks!!
It does and it's actually quite common. DA overlaps with DS quite a bit, but you can supplement your work with additional courses and certifications on the side to make the transition.
@@AlexTheAnalyst Thanks! I have both good Math and Dev backgrounds but no experience, now doing courses in DataCamp, watching videos like yours to start getting onboard, etc. Will keep trying, incredibly the entry barrier for starters is still quite high. I am form New Zealand. Have a good one!
@@abdofeduconsult Thanks very much for your feedback!! For me it's been YEARS since I started looking for a job in IT that I love (since 2013), they key is to keep trying and never give up. Have a good one!!!
I know the question was kind of brought up already about specific data degrees. I have been looking at the Bachelor of Science in Data Management/Data Analytics from WGU (www.wgu.edu/online-it-degrees/data-management-analytics-bachelors-program.html). It seems to have lots of IT foundational/intermediate education plus with the added Certs you can earn, I dont feel it would pigeonhole you into one type of career. Those types of degrees are so new, I just worry the validity of them and if employers actually respect them and consider them over more popular STEM degrees like CS. I'm just wondering your thoughts on a degree like that and, more specifically, the WGU program. Thank you for your time and I look forward to more of your videos!
I think that degree is one that is beneficial if you plan on continuing to be in the data field. As for WGU - I don't know much about them, but I would try to go for a reputable University. Doesn't have to be Harvard or anything, but something that it's University of Pheonix :D I think STEM Programs are always good and will work. Something more concentrated like a Masters in Data Analytics will be just as good for a Data Analyst. The thing with a STEM degree is it's transferable to more types of jobs.
I've been doing industrial engineering( operations research, spm, inventory control, basic stats is also taught) so, do I need to complete a master's degree for becoming eligible as a data scientist?
Sounds like you only lack ML. That’s just like baking a cake, following a recipe. Your eng skills are already highly valuable in a DS role. Only other thing you need is skepticism, willingness to dig for the truth relentlessly, not blindly accept how other people frame your problems for you. You have to think for yourself to really add value.
I was Data Analyst but on Business Management side. He rightly pointed out. Data Cleansing is not a Data Analyst job role but he has to do it sometimes. Without data cleansing your reports or analysis are going to worst.
A lot of these companies don't know the differences, they could be looking for an Analyst but you end up performing Data Engineer and Data Scientist duties, that is they don't have the right infrastructure in place so you end up building pipelines to create your single point of truth before you can start any Analysis, after that is done, regular maintenance of you pipelines and analytics duties and soon enough adhoc queries of predictions, which becomes Data Scientist job
Alex how would you define my career? I have a BS in Chemical Engineering but really should have went into Industrial Engineering. After many years of coding I found that just solving problems with computers was my thing. So I became a sort of dual Cloud Architect and BI Developer. That led to learning the Hadoop and Spark stacks and some lucky breaks into IoT projects. It was there I started meeting Data Scientists that trained me to do what they wanted. My job title is frequently "Python Developer" or "Cloud Architect - Data Specialist" or "Data Engineer". However what I do is work closely on Model Testing, Model Deployment, and Data Cleaning/Data Quality. Other people write the formal reports but I frequently work on side initiatives at behest of the Analytics team to do forms of EDA in Excel, Spark or just SQL. Often I rewrite SAS models into Python because other developers rarely understand dataframes. On the side I do kaggle problems every day except during crunch time. Most people want to get into different models but I care more about good features and validation. Business problems implemented in production are more important than POCs. On many projects I will also help Agile PMs work with the DS team in a way that is not so dysfunctional. What is my job called? I thought about getting an MS in data science but most of the concepts I already know. I can't keep up with the PhDs but they still can teach me stuff. However I am thinking about getting an Analytics MBA to be able to set people straight because its what I end up doing most of the time. Someone needs to point out landmines in the data.
With this skills you e mentioned I would probably categorize you in the Data Engineering bucket, but honestly that skill set can be applied to a lot of jobs. It really sounds like you have a wide range of job possibilities. And that would be great to add a masters to your already successful career! Definitely won’t hurt with jobs down the road haha
Very helpful video! You've cleared up a lot of confusion. I'm a lawyer looking to transition and Data Analysis looks like the safer bet. Who knows, I could get that Masters in Data Science along the line.
Additionally you need to have excellent presentation, communication and social skills for data analyst. Whereas for data scientist you need more problem cracking ability with algorithms,etc. Scientists role is more prefferable for people with excellent acads and kind of geeky mind. Whereas analyst requires you to be dynamic and team player guy.
Thank you Alex. I'm starting MBA in Spring and am so confused about what electives to pick . Can you also make a video on healthcare analytics. I'm a stay at home mom going back to school after a break of 10 years. No idea what to expect.
I think I will! That's definitely my specialty haha if you haven't watched any other videos I am in healthcare as well so I can talk about that for hours. Wishing you the best of luck! My wife is currently a stay at home mom for the past year and so I can definitely resonate. Thanks for watching!
Maybe 5-10 years ago, but it's not really that way anymore. Masters level STEM degrees can definitely become Data Scientists as long as they have the right skill sets.
Hey Jason, modeling the data is how you set up the data in your database. How you model it will make building relationships between tables easier, help the flow of data in the data pipeline, and store data efficiently. Typically you’ll be working with a data engineer or data architect for this, but in some cases you maybe doing this on your own.
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Thanks Alex for all the advice, I finally landed a job as a data analyst at a tech startup. If anyones interested, I made 143 applications, had 7 interviews and got 3 offers. The process from starting the google course to landing a job took just under 3 months (I was unemployed and working on this full time). Hope that helps anyone who's looking for their next job!
Thank you and congratulations
Congratulations Akshay, can you please let me know the process in detail like after finishing the Google course what projects did u finish and so on until landing a job. As I’m in the similar process thank you.
@@mobinasalema8484 I finished the course, followed Alex’s portfolio series and did the ones that suited me. Made a website (following Alex’s video on this) to host my work and then began applications.
Most recruiters didn’t take a look at the portfolio, but those who did were impressed. Talking to hiring managers I found out that it’s pretty rare for applicants to have a portfolio (at least in the UK). Be prepared to answer questions around the work you present.
I made my first application 10th Dec 2021, I got my first offer 28th Jan 2022. Hope that helps :)
@@halfbaked413 Thank you so much for detailed explanation 😊
what google course exactly? and also congrats this is very encouraging !
Dear Alex... In 2 or 3 years from now I will look back at what I have achieved and I am pretty sure your channel will be one of the things I will be more grateful for... Thank you for all the important information you share here!! All my admiration from a Venezuelan young student living in Europe! :)
No se por que chama, pero vi tu comentario y me llamó la atención. Al verlo pensé: "Esta parece tener el ímpetu correcto. Me identifico". Y mira tu, que estamos en una situación similar. Te manda saludos este compatriota que también estudia en el extranjero. Éxito en tus proyectos✌🏻😁
How's is it going, did u start your transformation?
@@LonKondr she didnt
@@busimo lets be optimistic :)
How are you doing?
I love these ads "Become a Data Scientist in 6 hours"
LOL
May be in 6 years
That is a lot of time🤣🤣
Fake ads. !
I also love ads "become pro hacker with python in 3 day's"
Amazing video Alex! Can't believe I'm just watching this now haha. I'm a data scientist at a larger company and I wanted to also comment that there's also the data engineer role that is becoming more hot and covers the data cleaning and dashboard creation part :)
Thanks Tina! That is very true! I actually just did a whole video on the Data Engineer vs Data Analyst. Data cleaning is a lot more important than most people think!
Hello Tina can u pls help me with data scientist... I am so confused what to do!!
@@himansusahoo5104 Is your confusion solved?? ..
What r u doing now ?
Hi. May I ask if what is the difference between data scientist, data analyst and report analyst? Do all of the role have the same responsibilities?
hey! im a med student but currently looking for a potential career and, ive always enjoyed maths at school, and am considering data analyst. May i ask what you studied to get your role?
This is so tremendously helpful and straight forward. I’ve learned I like the analytics side more
Great job on being concise in your comparisons between the two different job titles! I begin my master's in data science this January! I do plan to start applying to data analyst positions in the spring after I get my Oracle Database SQL Associate Certification, and may consider going for an AWS Cloud Practitioner certification as well.
That's fantastic! I wish you the best of luck!
Hey Alex! Recently discovered your channel - great stuff mate :)
Fellow Data Analyst here. I was considering a switch into DS and I started studying up on ML and deeper stats. After a while I realized that I don't think it's where my passion lies. I love the jack-of-all trades role of the data analyst and I just don't think I have a drive to go really deep into understanding the maths behind all the ML algorithms/models. It's easy to fall into the trap of 'data scientists earn more so I'll head in that direction' but for me that would mean sacrificing job satisfaction. I think my ideal role is an analyst role with a little bit of ML stuff mixed in to keep it fresh. :)
I feel sort of the same way. I tried the ML stuff and it wasn't for me. I really like the database work and have been working a lot on my skills in Data Engineering, but still love DA work. It's all about finding what you enjoy!
Great video. Thank you. I'm a self-taught (no degree) data analyst in the mid-level salary range. It's hard to figure out my market worth sometimes.
That's great! But I do agree it's hard to know your worth without the traditional degrees. I mainly focus on the value that I add to the company. Am I adding a lot of worth in a high-paying industry? If so, I should be paid accordingly. I that is similar even if you do have a degree. You then have then have to weigh your experience and skills. Overall, I think it's really about knowing what value you add to a company. Congrats on your success!
I am going the self taught route too. I have a PhD in Petroleum Engineering. Can I continue on this route without having to take a degree in computer science.
Hey! What tools you must learn to get good chances to get a job as DA? I'm currently learning Python and big data concepts
Hi there, can you kindly tell me what steps did you take to become a data analyst?
I ve been really working towards becoming a data analyst and after watching your video , I ve made up my mind that's exactly what fits me! Thanks !
Been looking for a channel focused on data analytics as that’s what I’m pursuing once I graduate in 3 years. Thank you so much!
Daniel Lopez that’s awesome! Hope my videos are helpful! I’ve got lots of good ones coming up 👍
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
payhip.com/b/ndY6
You can download the sample pages so as to see the quality of the content.
What a nice voice you have, sir.
Thank you! I’ve recently upgraded my audio equipment for videos so hopefully my voice sounds even better in recent videos 😁
Great video, I’m starting a Business Analytics masters in jan so very helpful for me
That’s awesome! Good luck! 😁
Good luck Daisy. You can definitely do it! If there are any stats/ML/coding electives, always go for those. Especially Categorical Data Analysis or Non-parametric stats.
As I am seeing this, they are close/thin in general. But DS/DA is like Quality Assurance/Control, where first QS or DS has more "under the deck", for someone who is quite experienced in IT and computer science - speaking as Coding. But as DA is thing what I am personally doing, I learned tools as PBI, SQL, Excel ofc by myself...and always is trial/error, but mostly successful.
Good video anyways, good comparison.
Hey! Can you explain wich tools you've learned till you got a job as DA? Thanks 😊
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
payhip.com/b/ndY6
You can download the sample pages so as to see the quality of the content.
@@kr_eep th-cam.com/video/_eAl7vuVu3U/w-d-xo.html
Hope this will answer your question.
I must point out that QA/QC are often used together and/or interchangeably. The difference is more in the realm of process vs practice. QA is the process side: ensuring that measures are put into place along with procedures. QC is the application of the quality measures.
Im engrossed with your channel! Love how dedicated you’re to educating all of us!
Super happy to hear that! :D
A video that I've been waiting for for a long time, many thanks!
You're most welcome! :D
@@AlexTheAnalyst hey, would you say it's common for people to "use" a data analyst role as a stepping stone to data science?
@@TheTHe0DB From my experience, definitely. Took an Analyst role for my Government which helped me land a place for a MSc in Data Science. Id recommened a similar approach if you do not have a Comp Sci background. For me personally, I had a BSc in Political Science which wasnt enough for the MSc entry requirements. In all honesty, they were right. Without the work experience, I would had struggled big time.
I like how short your videos are :)
Thank you! If you like the short ones DO NOT go watch my Alex The Analyst Show Episodes... they may be a bit longer haha
It’s a relief to not be forced to watch 20 minutes to get what you deliver in 8
Short and to the point!
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
payhip.com/b/ndY6
You can download the sample pages so as to see the quality of the content.
They're not all so short!
I graduated two years ago with a BA in Urban Studies (very random but it's essentially a social science degree). I worked in tech briefly after graduating and worked in data operations (got experience data cleaning, mining and creating dashboards with SQL and Tableau). But I took some time off this past year for a "gap year" experience of sorts (I was supposed to be traveling internationally but due to the pandemic I ended up working with kids instead). Currently working as a research assistant and learning more quant and qual analysis tools and have started to realize I want to become a Data Analyst. Due to my non-traditional background I know I have a lot of work to do on my own. I am planning to start the Google Data Analytics Certificate course in coursera soon and start building a portfolio. I hope my random degree doesn't hurt me in my prospects but I figure I can't change the past so I might as well just focus on learning skills through my current job and classes and my own projects and work my way up. I don't want to get a Master's unless absolutely necessary just due to the costs of graduate school. Thank you for your videos they are really helpful in these early days for me!
@Lydia, your expression reveal that you have a good profile. Best way to have postgraduate degree at little or no cost is to make a schedule to apply for scholarships weekly. Getting higher degree will boost your chances getting job but it doesn't make you creative and a problem solver until you possess hands-on skills. Good luck!
@@abdofeduconsult thank you. I am starting with the self teaching route and building from there. If graduate school ends up being necessary I’m open to it
@@roar6047 I'm in the exact same situation. I took Sociology because I wanted to study human trends, then I took a master in HR, because I wanted to study human trends in the work environment. Meanwhile I got a job in the pharmaceutical industry and starting doing a lot of data mining, dashboards and reports, and now I understand that analyzing data is what really excites me. Along my journey I noticed the thing that most excited me was quantitative studies and statistics, but I always thought it was due to the subject.
I'm thinking about getting a pos grad and just try and legitimize my position and get some skills to actually work as a data analyst!
Good luck to you, it's cool to know I'm not the only one! :)
@@Findmeonthatcorner Your background sounds really interesting and yes I am glad to know I am not the only one as well. Best of luck to you too! :) We got this!
Get a masters in europe
I will be happy to become data analyst rather go greedy for data scientist salary, it will be much easier for entry level and will help career growth faster. Thanks again.
I agree! I think that's a smart choice :)
The firsts insights of Data Science where taught to me by an ex-CERN Physicist who currently was working for a big business. Since then I've wanted to be a Data Scientist 😁
Honestly, the best Python coders are Physicist because they have to make extremely complicated models. When my professor was part of the group that discovered boson particals. They had somewhere around 1.2 million lines of code. I believe he knows Python better than 99.9999% of all Python developers
this is very informative! currently pursuing data analytics ms degree and was struggling between these roles
Glad to hear! Good luck!
@@AlexTheAnalyst hey I'm currently doing a data science degree and I more interested in zoology industry most likely wild life so I'm planning do a zoology degree as well so I want to know whether it will worth or not
I'm just going to start a new course to be Data Analyst and your videos actually help me to jump in into this decision!
Thanks Man!
I'm discovering there's crossover as a grad of Data Science and Visualization from Northwestern. Basically, data analyst are now producing what data scientists previously produced (ie Machine Learning, Python, R, SQL).
That tells me that companies know there's such a high supply of candidates that they can literally overlap their responsibilities and offer lesser salaries of a data analyst but expect higher level knowledge and skill sets more akin to that of a data scientist. It seems that specializations related to data scientists is what separates them into the higher salary ranges (ie AI, Robotics, Research, Seniority/ Experience, Cloud Expertise).
This! Also, roles like Business Analyst/Product Analyst/ Business Intelligence Analyst.
Very good explanation of the difference. I tried my whole life explaining tp people what an analyst do and people always mix up the two.
Haha thank you! I feel you on that
Just found this channel. I had been looking at Data Analytics, went into Salesforce for a while, now want to do Analytics in Salesforce, healthcare preferably. I'm excited but not sure what to do next. I'll continue to learn.
me too my name is Alex
we have a lot in common
I am also bald, I wear glasses and I study CS.
it's like looking at the best version of myself
I've been totally binge-watching your videos today! Thanks for all the info!
You are really doing the most for your viewers. I love your content.
So glad to hear that!
Dear Alex, I had done a dispensing optician course back in 2012 and got a job as an optician but I did not like it. I am currently doing administrative work for a very small organization. They are on ground level with their website and needed me to update it. I work with the computer engineer who designed the website and he started teaching me how to code. Iam still learning with him. I also did a basic computer course in microsoft office. I like problem solving a lot and math and I was looking up careers involving those traits and data analytics came up. Then I stumbled upon your videos and I was astounded that they were free to learn the basics of the field. Thank you for making it available and my goal is to become exceptionally well at the skills you recommended follow your videos and apply for a job. I don't have a degree but I do have determination.
Suscribing myself to this channel like RIGHT NOW!
Thanx Alex, two thumbs up!!
Thanks for watching and for the sub! :D
This is the question which I have since 2 years😄
Hope it was a good explanation to your question! Thanks for watching!
@@AlexTheAnalyst Ofcourse, very clear. some trainers here in india confusing us with their courses in Analytics.
Excellent comparison of DS vs. DA! Thank you Alex.
I think then I'm fortunate to have got a DS position with a company who pay for my Masters and support me through a Doctor of Engineering. :)
be nice to know about it as i am trying or aspiring to be one.
People like yourself, Luke and stevefonic something are so inspirational that help me keep my motivation up... ✊🏽
Excellent summary. Cleared up all the questions I have about the two fields. Thanks!
The smaller the company hiring, the lower the requirements, and the greater part of the full stack you have to cover. You learn more in a small company but it's bad for your health.
Jack Ma touched on that. He recommends to work for a small companies where you are exposure to lot of things and then become a entrepreneur
My experience
Big companies is full of bureaucracy and stupid rules and most terribly, they have tons of legacy outdated software and systems that they are still using.
While the smaller company had a much lower pay but you do get to cover a much wider range of tasks (because no one really know what to do) and one does enjoy the degree of freedom to approach problems.
I'm a public health/premed major and was thinking doing a minor in data analytics. I have a heavy interest in population health and want to focus my practice on certain demographics, plus I wanted more computer skills, so I thought maybe Data Analytics would be a good minor.
You might want to also consider minoring in public health. Public health can be specified to epidemiology (which essentially is the gathering, tracking, and analyzing public health data). To be an epidemiologist professionally, you'll need a masters in public health. Hope this helps.
I recently have got the admission in university of Koblenz-Landau, Germany for master's of web and data science program. I wish to achieve higher in this field.
Love from India, dear sir🧡🇮🇳
That's awesome!! Congratulations! Love back from the States :D
I am from India. IIT Madras, a reputed university, has just started adegree for data science. I always wanted to be in this area, but never knew that which was better suited for me- analyst or scientist. This video actually helped alot. I was so relieved when I realised that all the skills required will be covered in the degree. Plus I have a degree in Maths, Statistics and Computer Science. And I am planning to go for a Masters as well. I guess things will work out!
That's awesome! Good luck in your journey!
Hi , at present which degree r u doing??
My son is doing statistics in Loyola Chennai...can he do data science in IIT Madras???
@@maanavarviruppam4014 hey! I am doing maths hons. From DU. Anyone can do that degree in Data Science from IIT Madras (degree or college don't matter). The qualifier round is pretty easy. Just check their website. Brochure will give you a good idea!
Maths+statics+computer=any single degree
Great video!!! I'd love for you to talk about citizen data scientists and how they differ from these two positions!
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
payhip.com/b/ndY6
You can download the sample pages so as to see the quality of the content.
I'm a data analyst but in Indonesia. I live in one of the lowest provincial wages. From my provincial perspective, my salary is high, but if you compare it to Jakarta's salary, my salary only minimum wages. I agreed that this field of job is something that will be popular in the next decade, that's why I'm trying to polish my skill and hopefully can move to a better office in Europe or NA.
Why not work for a bussiness abroad, while staying in your country? It's cheaper and you'll be richer win-win 😉
@@mamneo2 LOL that's my plan. Currently I'm applying for remote working. Hopefully I can pass the interview
@@mungekscifo Great! Good luck on that!
Look at job openings, etc. and see what requirements are for data analysts and data scientists and you'll know right away lol. A huge chunk of data scientist jobs require masters or PhDs, as you mentioned in your video.
I'll definitely be doing that!
Very well said sir. ALthough expensive, Alteryx is an up and coming option. The visualization it offers you for a data flow is valuable.
Great video Alex.
Really encouraged me to study more.
BTW I just finished my data analyst career path online and I started practicing it on some datasets.
For data visualization, I started studying tableau public and dashboards in excel.
Thanks for your help, man.
More power to you and your channel.
Stay safe.
Hey Marvin, that's fantastic! Sounds like you're making great progress! Keep up the good work!
Hey Marvin, I am just starting out on my career as a data analyst. But, I have failed to find a great online platform that I can take my courses on. Can you please help with this info?
Good to know that you are working harder
Namiiro Donna I have some links in the description that might help. I’ve been using Coursera for a long time and I love it. In the description are some courses I recommend 👍
There is right term. They hire you as an scientist but can give you analyst tasks. Be ready to be both :)
This video well explains the difference data scientist and data analyst. Thanks so much Alex!
And just like that Alex the Analyst helped me out. 🇰🇪
Haha so glad to hear that! Thanks for watching! :D
What a Great video, way to Go, all I need regarding both fields in nutshell, thanks a lot Alex.
Thank you so much for your clarifications about the differences and similarities between a Data Scientist and Data Analyst. This is a great video =)
Thanks, Alex for making this video, you are amazing.
Really helped me a lot! Thank you!
Thanks for the video. I had the same thought that breaking into the DS field will be easier if I first make a transition to a Data Analyst role instead of a Data Scientist. I'm preparing myself for it...Thanks for the continued motivation through your videos 👍!!!
Very cool! You're so welcome! Glad to help :)
What is your current profession brother?
@@himansusahoo5104 hi Himansu,r u currently based in India?If yes then I can help you with some basic details.
@@Dreamgardener747 yes I am from India
Your explanation skill is excellent it’s is more premium then any premium one .
Very helpful sir.
Thank you so much.
Best Regards,
From India.
You're most welcome!
Alex, Thanks for clearing lots of doubt!!!
Good breakdown explaining the difference. This video will help in my career transition
i appreciate this video, thank you for the clarity on all the questions i had... in a single video :)
Great video! Thanks for the break down!
Thank you! Thanks for watching! :D
Thank you for this video, it has been very helpful!
Thanks Alex.. this video is very useful and very informative.
I recently got interested in the data science area and I am planning to finish my bachelor's in Bussiness to this area.
This video helped me realize I should aim first to become a data analyst, and in the future think about becoming a data scientist, since I dont have much knowledge about machine learning and programming, so I should take it step by step
I don't know dude, the data scientist / analyst is far overlapped....generally speaking analysts tend to make a story and drive business whilst scientists are just building the best mathematical model. That's all really.
In a very concise nutshell you're not wrong! haha
Thanks for your advice!
You’re most welcome!
Thanks Alex, wonderful video!
Thanks!
For a 1200 long pages of question bank on real world scenarios to make you think like a data scientist. please visit:
payhip.com/b/ndY6
You can download the sample pages so as to see the quality of the content.
Thanks for your inform bro. It's help me a lot to knowing what's the different.
Thank you so much! Good vedio. Subscribed
Thank you for this information.
This 7:49 minutes video was indeed helpful to me. infact, it was more like an eye opener. Thanks alot man. I hope to implement diligently the knowledge gained from the data anlaytics courses i'm currently enrolled into, and finally land a job as a data scientist few years from now.
Very Informative and Precise
I just discovered your channel and it has given me the tools I need to become a data analyst. My family keeps on discouraging me, but I have had the love for this career since high school.
How can I look past the negative and focus on improving my skills?
Hey Namiiro, I’m so glad my channel has been helpful! Sorry to hear about the discouragement. The best way to not get discouraged is to make progress! Keep on improving and when you make it there will be no better feeling. Gotta keep going!
I feel that, lets do it!! Ahh
Very informative! Thank you! Have you heard of Alteryx? I’m wondering if a lot of Data Scientists uses that as a tool vs SAS and SPSS.
I've used Alteryx and it's something that Data Scientists may use. I don't know if "a lot" use it, but it something that you may see.
Hi Alex. Can you please talk a bit about the importance of domain knowledge? In some industries, such as medical, especially when involves lab equipment, doing data analysis can be very challenging just because of the lack of context.
amazing content as always
I have a question for everyone: Does it make any sense to start the career being a Data Analayst and then learn ML and other modeling tecniques and move to Data Scientist? Thanks!!
It does and it's actually quite common. DA overlaps with DS quite a bit, but you can supplement your work with additional courses and certifications on the side to make the transition.
@@AlexTheAnalyst Thanks! I have both good Math and Dev backgrounds but no experience, now doing courses in DataCamp, watching videos like yours to start getting onboard, etc. Will keep trying, incredibly the entry barrier for starters is still quite high. I am form New Zealand. Have a good one!
Yes, I think that’s a common career path
@@abdofeduconsult Thanks very much for your feedback!! For me it's been YEARS since I started looking for a job in IT that I love (since 2013), they key is to keep trying and never give up. Have a good one!!!
@@abdofeduconsult Hey, Can you share the link for the portfolio you mentioned. TIA!
I know the question was kind of brought up already about specific data degrees. I have been looking at the Bachelor of Science in Data Management/Data Analytics from WGU (www.wgu.edu/online-it-degrees/data-management-analytics-bachelors-program.html). It seems to have lots of IT foundational/intermediate education plus with the added Certs you can earn, I dont feel it would pigeonhole you into one type of career. Those types of degrees are so new, I just worry the validity of them and if employers actually respect them and consider them over more popular STEM degrees like CS. I'm just wondering your thoughts on a degree like that and, more specifically, the WGU program. Thank you for your time and I look forward to more of your videos!
I think that degree is one that is beneficial if you plan on continuing to be in the data field. As for WGU - I don't know much about them, but I would try to go for a reputable University. Doesn't have to be Harvard or anything, but something that it's University of Pheonix :D I think STEM Programs are always good and will work. Something more concentrated like a Masters in Data Analytics will be just as good for a Data Analyst. The thing with a STEM degree is it's transferable to more types of jobs.
Great video Alex
And could you please make a video about different type of jobs under Data science and the skill required for that jobs.
I've been doing industrial engineering( operations research, spm, inventory control, basic stats is also taught) so, do I need to complete a master's degree for becoming eligible as a data scientist?
Not required, but definitely helpful
@@AlexTheAnalyst okay I see, and your content is really focused and helpful. Thanks
I feel you, another IE here!
Sounds like you only lack ML. That’s just like baking a cake, following a recipe. Your eng skills are already highly valuable in a DS role. Only other thing you need is skepticism, willingness to dig for the truth relentlessly, not blindly accept how other people frame your problems for you. You have to think for yourself to really add value.
Another IE searching for better future , feel you..
Im 38 yo and a teacher, lately ive been thinking of changing a career to data analytics.. Do you think it's too late for me?
I don't think so!
Nice info Alex 👍🏻
Go with what you want to be.
An excellent video and right to the point
Nice video dude 💪🏽 helps a
lot
You’re most welcome! Thanks for watching 😁
Awesome content!
I was Data Analyst but on Business Management side. He rightly pointed out. Data Cleansing is not a Data Analyst job role but he has to do it sometimes. Without data cleansing your reports or analysis are going to worst.
Well explained. Thank you Alex.
This is really helpful. Thanks Sir Alex
This was a great presentation . Thank you Alex
As someone that does all these tasks, I no longer know what to call myself.
Hi Alex. Thank you for this video! Can you help us about sharing career path for data analyst?
A lot of these companies don't know the differences, they could be looking for an Analyst but you end up performing Data Engineer and Data Scientist duties, that is they don't have the right infrastructure in place so you end up building pipelines to create your single point of truth before you can start any Analysis, after that is done, regular maintenance of you pipelines and analytics duties and soon enough adhoc queries of predictions, which becomes Data Scientist job
dont care about salary. Just how I can become one and enjoy learning new things about analysing data and interpreting them.
Alex how would you define my career? I have a BS in Chemical Engineering but really should have went into Industrial Engineering. After many years of coding I found that just solving problems with computers was my thing. So I became a sort of dual Cloud Architect and BI Developer. That led to learning the Hadoop and Spark stacks and some lucky breaks into IoT projects. It was there I started meeting Data Scientists that trained me to do what they wanted. My job title is frequently "Python Developer" or "Cloud Architect - Data Specialist" or "Data Engineer". However what I do is work closely on Model Testing, Model Deployment, and Data Cleaning/Data Quality. Other people write the formal reports but I frequently work on side initiatives at behest of the Analytics team to do forms of EDA in Excel, Spark or just SQL. Often I rewrite SAS models into Python because other developers rarely understand dataframes. On the side I do kaggle problems every day except during crunch time. Most people want to get into different models but I care more about good features and validation. Business problems implemented in production are more important than POCs. On many projects I will also help Agile PMs work with the DS team in a way that is not so dysfunctional.
What is my job called? I thought about getting an MS in data science but most of the concepts I already know. I can't keep up with the PhDs but they still can teach me stuff. However I am thinking about getting an Analytics MBA to be able to set people straight because its what I end up doing most of the time. Someone needs to point out landmines in the data.
With this skills you e mentioned I would probably categorize you in the Data Engineering bucket, but honestly that skill set can be applied to a lot of jobs. It really sounds like you have a wide range of job possibilities. And that would be great to add a masters to your already successful career! Definitely won’t hurt with jobs down the road haha
Very helpful video! You've cleared up a lot of confusion.
I'm a lawyer looking to transition and Data Analysis looks like the safer bet.
Who knows, I could get that Masters in Data Science along the line.
Very cool!
Did anyone else convert the dollar salary into their home country's currency?
Additionally you need to have excellent presentation, communication and social skills for data analyst. Whereas for data scientist you need more problem cracking ability with algorithms,etc. Scientists role is more prefferable for people with excellent acads and kind of geeky mind. Whereas analyst requires you to be dynamic and team player guy.
Thanks for thi video..Im currently studying BsData Sciencd in the Philippines
Nice video, although that non-vertical line in the middle drove me crazy. XD
Thank you Alex. I'm starting MBA in Spring and am so confused about what electives to pick . Can you also make a video on healthcare analytics. I'm a stay at home mom going back to school after a break of 10 years. No idea what to expect.
I think I will! That's definitely my specialty haha if you haven't watched any other videos I am in healthcare as well so I can talk about that for hours. Wishing you the best of luck! My wife is currently a stay at home mom for the past year and so I can definitely resonate. Thanks for watching!
Data Scientist is a senior position which requires a PhD in maths or machine learning.
Maybe 5-10 years ago, but it's not really that way anymore. Masters level STEM degrees can definitely become Data Scientists as long as they have the right skill sets.
Thank you so much sir
You're most welcome
Hi Alex, could you elaborate more on data modeling for a data analyst on the skills section?
Hey Jason, modeling the data is how you set up the data in your database. How you model it will make building relationships between tables easier, help the flow of data in the data pipeline, and store data efficiently. Typically you’ll be working with a data engineer or data architect for this, but in some cases you maybe doing this on your own.