How Data Science ACTUALLY Works
Check out Deepnote for the easiest way to practice your data science skills: deepnote.com/?...
Dataset used in this video: www.kaggle.com/datasets/thede...
Ever wanted to know how a real Data Science team operates? Join me, me, and me, as we take you through a rushed Data Science ask from management. Can we get the work in on time?
00:00 - Introduction
00:14 - Management Call
00:56 - Team Overview
09:38 - Data Engineer Work
14:11 - Data Scientist Work
20:58 - Data Analyst Work
My FREE Courses:
🐍 Python 🐍. : • Python for Data Analys...
⌭ SQL ⌭ : • SQL for Data Analysts ...
📊 Tableau📊 : • Tableau Beginner Cours...
📈 Statistics 📈 : • Practical Statistics f...
🤖 Machine Learning 🤖 : • Machine Learning for B...
Patreon: / shashankkalanithi
MX Master 3 amzn.to/3sTroBW
LG 35in Curved Monitor: amzn.to/39pPzR3
USB-C Hub: amzn.to/31Ip8Sl
MacBook Pro Retina 16 Inch: amzn.to/2PSwZde
Twitter: / kalamari95
LinkedIn: / shashankkalanithi
Sponsored by Deepnote
Пікірлер: 140
As a data analyst, all I do is CODE. But I love it! Interesting to see how my job functions align more with your description of Data Engineer.
This narrative scenario/example was amazingly put together and would love to see more of this type of content! Even unique scenarios or complex projects that a DS/DE/DA team may typically or rarely encounter.
@ubaldo7227
Жыл бұрын
Motion seconded. Thank you very much
This video is just amazing! Not only does it explain the different roles very well but this is the first time where I can directly see the flow of work and the details in practice. Very valuable! I also found out that I am more of a data scientist haha. But I also see that the roles often overlap at least during my PhD in Political Science as I need to find the raw data, merge them, structure, use regression and illustrate the results. It is nice that people can focus on their niche in companies though
Love this teaching format. Would like to see more of these. Great job!!!
Thank you for such a refined video explaining every role in a data team. Truly eye opening.
I'm finishing my MSDS in June and this is very helpful. In all of my projects, I am every role from gathering to presenting and it is good to see the real-world demarcations of duties. Thanks!
Great video and I love that you didn't cut googling stuff and debugging.
Man you the best! As someone who’s interested and studying data analytics, I needed such video to see the bigger picture and to know how the rest of the team works.
This certainly gave more clarity of the different roles. Awesome content as always!
I love this. I took a course on how data teams collaborate, but this video connected all the dots. Thank you!
I just watched one of your earlier videos from a year ago and now this one and I must say you have improved so much on your speaking and presentation skills. I need advanced math to count how many times you used to say "um." Now your videos are much smoother and your presentation is a lot more logical and concise. Bravo!
This has been of a great help to wrap my head around how data science works!! Thank you so much
Awesome explanation of the entire process. Love the format.
This makes so much sense! Amazing! Really appreciate your channel!
Man I think this was excellent! For people in school with no real world experience yet, this is so informative! Thank you so so much! Well done! I think a cool video you could do in the future would be one focused on setting up the S3 and/or DeepNote in more detail.
Awesome video, from the beginning up until the last part, all of it was very easy to understand, clear and put together in a wonderful way. I'm happy that I found this video.
This is a cool vid on a how a daily team should run. Pretty informative I must say, another video with great info!
Mate, you answer questions I didnt even know I had. Top quality.
These videos are incredibly helpful! I remember you had made a similar style video for analyzing game review data. Please make more of the same!
This really ties the thread into process, so very helpful. I'm wondering about how far I need to take my SQL and Pandas, this cleared up a lot of ambiguity for me.
This was amazing to watch. As one of your students, this was great! New job has me working crazy hours, been hard to attend live sessions.
very clear overview for each roles' duty. good content! thanks
Really helped in clearing things out! Thank you for this wonderful session
Thanks, a very accurate description and definitions.
Excellent video. Love the narrative format. I’m a research coordinator at Emory and I’m transitioning to data analysis then data science. Your KZread channel has been invaluable. Thanks
@Mukawakadoodoo
Жыл бұрын
I’m an optician and am planning to career shift into data science as well, any pointers dude?
@zarathustrasmonky
Жыл бұрын
@@Mukawakadoodoo Not really. Just be persistent and consistent in applying high quality instruction
@ionwhy2561
Жыл бұрын
Look like someone has been reading fredrich neichece’
@sereysothe.a
Жыл бұрын
aye I go to emory too!! applied math and stats major
Your videos and the brilliance behind them >>> I appreciate you. 🙏🏾
Many people upload tutorial videos. You are the only one who makes video with a good real world example. That helps me a lot. And also you share the file. That also helps a lot
this is insanely good, thank you for sharing this!
I am a data Analyst, never used DeepNote. I will start using it from tomorrow. Thank you for the great content
Amazing content, great explanation with simple scenario! Keep it up man!
Would like to see more such videos with different issues coming up at different roles and how they interact.
Thank you brother, we truly appreciate your efforts. You keep motivating and helping the rest of us!
This really is illuminating. Thanks so much for your amazing content!
You are absolutly right about the environment set up. I have the M1 chip and others have intel. Everyone with a M1 chip had so many issue, including myself. However, I was able to get the environment set up after a few days. Now I'm working with Rstudio and using Rshiny to generate my plots into an interactive webpage. This field is so awesome, but it has a lot of headaches even just getting started. I guess this makes me the Data Engineer,lol.
Awesome video. I work in SE with a cloud focus. Have an economics degree so have thought about moving into either DE or DS.
This is a brilliant video to give brief insight on how data professionals actually work togetehr
Omg, this so cool. Amazing work! :)
SO helpful. Thank you!
Great content!! Super useful and clear!!
Beautiful! Thank you!
Great initiative!!
Such a good video, you took the fear from me of not knowing how and who to ask for things when I get a data job.
I am a BI Developer, and wear all three hats in my mid-size organization, this is actually really accurate, and I highly recommend coding in python and SQL for DA/BA guys,
Great video! I enjoy these kinds of videos that show the interplay between data analysts, engineers, and scientists. Also, that NASA jacket is 🔥
@ShashankData
Жыл бұрын
Thank you! Yeah I really enjoy it :)
@markslima1557
Жыл бұрын
@@ShashankData sir, where did you get that jacket? it is pretty snappy!
Great video and a fantastic breakdown of the industry.
Amazing video. Thank you.
Amazing video! Thank you :)
Another great video Shashank. Thank you so much for the great content. Your videos have really helped clear up so much about the analytics industry for me. I have a meeting with my manager in an hour to present my first project to them - a simple reporting tool that automates their reporting process (instead of them going through 500 rows of data a month manually!). I'll be asking them if it’s possible to take me on as a Junior Analyst, as the team/service currently does not consist of any analyst/data professionals. Wish me luck!
@ShashankData
Жыл бұрын
That’s amazing best of luck u got this :)!
Love the way you explain the concept
Best video ever! Very insightful for a learning DA 🙋🏻♂️
I should work more on SQL and BI tools specially communications . Thanks Shashank ! I started watching your videos when you had like 1k subs, love to see you grow into a big channel ! Good Luck, Cheers!
Thanks for such great information. If possible, can you provide an overview of business intelligence/analyst roles and how they relate to the data team in a company.
Amazing content with great clarity 👍
thanks to share this worthy information 😊
Hey Shashank, loved the video. Can you show a tutorial to actually connect to s3 buckets with python code rather than using a GUI?
Videos like these are very insightful
incredible video!
You always do practical and this is so helpful bro❤
This is informative thank u
It would be amazing if you could give us a roadmap video for Data Analyst for 2023!
I thought this was going to be just another skit or something. Brilliant analysis of real world roles!
This makes me less scared of learning DS. Thankyou!!
Thank you so much for creating such valuable content. :>
Man thank you , thaank you thaaank you ❤️
I will love to see more of this
Lol the MS Teams sound, made me instantly press ctrl + w :D
Great breakdown between the different roles.
@ShashankData
Жыл бұрын
Thank you so much! I'm glad it was helpful
Wow Thank you This is soo informative 👏 👌 A to Z
Oh wow that’s great content!! So basically as a data scientist you don’t have to know everything from coding to data visualization like Tableau. But let me guess in some companies you also have to do the work of a Data Analyst so knowing these type of things are really helpful if needed but aren’t necessary at the beginning of a career
@pedrobaaijens4132
Жыл бұрын
In some companies where stuff like this is new they hire maybe 1/2 people, sometimes consultants to set things up and if there are already requests of data driven decisionmaking then you gotta do the whole process alone.. I had to do the engineering, science and visualization part by my self for 2 months until more people got hired.
You are talent embodied!
Great Content!
deepnote is a life saver ..
I have a suggestion can you provide for us a tutorial how extract structured data from unstructured ones and thank you very much
Just discovered your channel. You seem like a cool knowledgeable person on this topic. So im wondering if you can help me with a question i have. So I am a recent graduate in Computer Science and want to instead go into Data Science industry instead of the traditional Software Developer/ Software Engineer career. So as someone like me who eventually one day wants to work in data science industry, is there an entry level job role that one can apply as a starting point and just get promoted/ level up to a data science in time rather than just trying to apply for a data science position from the get go? I dont mind starting at the bottom and working my way up the ladder. If anyone else have any suggestions i would greatly appreciate it?
This is definitely motivation when you show your process and thought process of these fields… Some of us Americans wanna do better…
Amazing stuff. Thank you for breaking it down in a way that beginner would understand. In your opinion, is Data Analyst the entry level to the rest of the group or are they all part of different disciplines? Would love to know what to learn first to get into this field. I am coming from HR environment so not much exposure to raw data and big data. Appreciate your content always!
Shashank you are the TOP G of Data people
Amazing!!!!!!!
These three roles cannot be explained better than this. I have one question. Does a person go on Data Engineer role directly or he / she is promoted from the DA or DS roles? Thanks for the efforts you put into this video creation.
Which role is best suitable for freelancing ?
Do you have any courses with structured curriculum, pedagogy definitely helps building from a scenario.
You know what, it's a great video.
Forecasting never ceases to break my brain. The linear regression model predicted an overall downward trend, and yet this magic Prophet seemed to indicate that the next couple of months will be trending upwards. I'd personally have a hard time explaining to a bunch of executives how/why Prophet reached that conclusion, i.e. why did they see a downwards trend and why don't we think that it will continue in the next quarter, which seemed to be what the executives in this scenario were interested in. How would you go about figuring that out, and how would you go from a set of plots to a finished writeup?
@ShashankData
Жыл бұрын
So forecasting really is an art as much as it’s a science. Linear models can’t take into account seasonality and cyclical like the Prophet model can. I purposefully used the linear model to show how you start simple and move from there but realistically basic linear models don’t work too well for a lot of forecasting results
Loving the NASA jacket! 😜
@ShashankData
Жыл бұрын
Thanks Luke!
Can you suggest how to jump from Data Analyst to Data Engineer
👌 wow Awesome
Can you make a video on how to become a data scientist.
U R all blessed minded, MAY GOD BLESS U IN ABUNDANCE!!!!!
Thats me right there playing eu4 instead my fellow gamer scientist
Every data enthusiast should watch.
You are amazing and I love you.
Sir can you please suggest some good portfolio projects for data analytics role?
How informatica ETL developer become data engineer.. should I learn azure and python
You’re handsome my son
@ShashankData
Жыл бұрын
Hahahah thanks dad!
@9MusicisLife5
Жыл бұрын
This the most wholesome thing on YT
@kevidimitrisceci8096
Жыл бұрын
Best comment on KZread by far.
@OscarFromIndia
Жыл бұрын
And he's a very helping person sir 🙌🙌
@supastazz
Жыл бұрын
Chad
love you bro from morocco
Is coding /computer background needed for data science field
What game is that at the start?
Wow wow wow
im a data scientist in a large not well structured company and i have to deal with the three steps :S
I don't see much added value in Data analyst, since Data scientist can build a model and communicate as well ...
@hamzasehavdic
Жыл бұрын
Theres alot of work to go around. So specialising into these roles tends to work best for business needs. It does consume alot of time visualising and communicating data into business information quickly.