Data Scientist vs Data Analyst | Which Is Right For You?

Data Scientists and Data Analysts are some of the most sought after jobs in the data world. Both share a lot of similar tools, but the type of work they do can be quite different - and the salaries reflect this! Let's look at some of the similarities between a Data Scientist and a Data Analyst and see which might be the best fit for you!

____________________________________________

SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________

RESOURCES:

Coursera Courses:

Udemy Courses:

Favorite Books:

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________

Websites:

____________________________________________

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

[halfbaked]

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!

[larryhatcher]

I love these ads "Become a Data Scientist in 6 hours"

[susanasalazarcorreia]

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! :)

[TinaHuang]

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 :)

[bethannesandie]

This is so tremendously helpful and straight forward. I’ve learned I like the analytics side more

[donnelly]

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.

[ahfodder]

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. :)

[LeumasKharzim]

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.

[danielhtx]

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!

[rohithrajan]

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 !

[anamitaanuva]

Im engrossed with your channel! Love how dedicated you’re to educating all of us!

[daisyosullivan]

Great video, I’m starting a Business Analytics masters in jan so very helpful for me

[alexwuntch]

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 YouTube, just good old Chrome or Safari and suddenly I got this video in my recommended. Just what I've been looking for. Subscribed.

[roar]

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!

[piccolino]

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).

[mirrrvelll]

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.

[nkristianschmidt]

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.

[mohamedghoneimy]

A video that I've been waiting for for a long time, many thanks!

[SumanRoy.official]

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.

[vijayswearingenutube]

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).