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!
@@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.
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.
Jesus, they really are watching us lol. I have been googling Data Analyst/Scientist Masters online for about a month (trying to find my path after finishing my bachelors) but I never used RU-vid, just good old Chrome or Safari and suddenly I got this video in my recommended. Just what I've been looking for. Subscribed.
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 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.
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.
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!
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.
Hello from Italy Alex, as a Data Scientist i can say that we are more focused on deployng new models into a business process that drives direct value, so the project management and the engeneering skills become really important (unix, professional coding, sql, git, spark, concept of testing and so on) because you have to ensure that the pipeline works in every situation even when you have really bad or poor annotated data. i don't think that you need a phd cause the algorithm that you use are pretty popular in the community (xgboost, bert, resnet and so on).
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 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.
@@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
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
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.
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.
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.
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 👍
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!
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.
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.
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.
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'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 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
Thanks for this excellent briefing, I feel lucky to find your channel! As for me a BSc in Computer Science since 2005, who work partially with data archiving and documents controlling... I think Data Analyst is my aim to start to improve my skills
I think I am gonna pick Data scientist. Thanks for clearing the main difference between them, it was very clear and straight. Reason for choosing data science : I am kind of logical visionary, Thx for clearing things up, I hope to not die before I do lol. Memento mori
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 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.
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.
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 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!
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
Great content as usual! I don't know whether you already did a video about it, but do you think that data analysis is going to be saturated in the next years? With all these hype about data I was wondering if the offer of data analysis is going to be higher than the demand for these jobs. Thank you for spreading the knowledge about data :)
Thanks! I think it is saturated right now especially due to covid. The demand is there though! It's hard to say if it'll be oversaturated in the next 5 years, but as of right now it is.
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.
