What I *actually* do as a Data Scientist in 2024 (everything you need to know)

[@neillmyers7200]

Data Science, here I come! Sign me up!

[@candidlyvivian]

HAHA thank you for watching

[@leoross1820]

AI will not replace you but the person using AI will 😮

[@candidlyvivian]

yes I read that somewhere and i can't stop thinking about it

[@AbdallahBoukouffallah]

So just use ai and won't be replaced

[@hhugoo12]

Whats up? Well I'm a PhD in nuclear physicist and I change my carrer to data science a little over six months ago. I was expecting a lot of propgramming and machine learning models, but it turned out to be 95% data cleaning, data analysis and visualization. Nice video, thank you!

[@candidlyvivian]

hello there! honestly so much of the role is spent in the EDA / data cleaning phases + working with business stakeholders 😅

[@PokeRayTube]

Great video @candidlyvivian! Very insightful probably one of your best vids yet :)

[@candidlyvivian]

yay I’m glad you enjoyed it, I did spend a very long time on this video!

[@SpunkySmunky]

Amazing video Vivian! Really enjoyed the insights into your day-to-day! Love these videos makes me feel a lot more affirmed in my aspirations to become a data scientist.

[@candidlyvivian]

thank you for watching Justin and I’m glad you enjoyed it!! good luck in your data science journey, youve got this!

[@mytraveldiary3463]

Thanks fro sharing @candidlyvivian..Very informative..Now I'm taking a bootcamp as data scientist..Hope everything goes well

[@candidlyvivian]

good luck!! :)

[@anthonychilaka]

I like how you broke it down. I work in a Marketing start up as a Dashboard specialist, boy did I need to learn the visual tool of choice (looker studio) cause of the "budget".After i was grilled during the interview round in Power Bi ( my tool of choice). I just subscribed cause I plan on learning from you so I remain relevant in this startup company once the dashboard build project is done, cause I like the idea of building machine learning model to predict buying patterns.

[@candidlyvivian]

thanks Anthony! yes visualisation software are so dependent on your company... thanks for subscribing and good to meet a fellow marketing startup friend!

[@qdf5210]

A great video for aspiring data scientists ❤ I’m currently a DS college student and i’m so anxious about graduating and getting into the workforce and this video really helped shape my goals 😊 Thanks!

[@candidlyvivian]

yay thank you for watching!! I’m glad the video helped show what data science day to day is like :)

[@harmanbaidwan1713]

Hi! I am a highschool student in Canada and your videos have been so inspiring and informational! I just wanted to ask, do you think a person has to be really good with Math/numbers to be successful in Data Science? If you don't mind, would you maybe consider making a video outlining what type of highschool student you were, or what would be the ideal highschool experience for an aspiring data scientist? Thank you, I really love the channel a lot!

[@candidlyvivian]

Hi Harman! Thank you for watching and I’m glad my videos are helping you 🙂 I honestly wouldn’t say you need to be that good with maths they teach in school. Data science / analytics is more about wanting to solve business problems (using data) 🕵️ I did always like numbers + was good at maths growing up but it’s definitely not a prerequisite. I also did a maths degree except I don’t use any of the theoretical stuff we learnt in my job. What’s more important is critical thinking + problem solving, and being able to convert business questions into data problems ☺️ I would recommend taking any computer science / information system courses if you can! I wish I did some of that instead of maths at university. The only maths I use quite often is probably statistics - mean / mode / distributions + sample size hypothesis testing. And that is a great video suggestion - I am scripting out my career journey into data science where I chat through my schooling experience + struggles, so pls stay tuned for that 🙂

[@PerpetualPreponderer]

I’ve watched my fair share of “day in the life” videos on KZbin, and generally don’t EVER click on them anymore. But this one came up after a long time, and I’m currently training to be a data analyst. BOY AM I GLAD I CLICKED ON THIS ONE. An absolutely downright amazing well expressed well structured video FULL of useful actual day in the life information. Excellent, really really helpful. Just wondering, as you seem to be quite experienced in this field, would you happen to have any tips for a budding data analysis freelancer?? Are there significant opportunities both in terms of volume as well as price? Is data analysis a good field to freelance in? I love tech and I love solving problems, thinking analytically and finding patterns, connections and the like, so I decided to jump in to make a mid-career switch. Would really appreciate your input and guidance!

[@candidlyvivian]

THANK YOU for your lovely comment and I'm so glad you clicked on this video too and that you found it helpful - I spent a long time on this script so thank you for affirming that is was well structured

[@PerpetualPreponderer]

@@candidlyvivian yeah this is my fear too. I don’t live in developing world, and there’s no way I’ll be able to bid at those rates they do, as they can still make living wage at those prices due to currency rate differences. I decided not to go down the web dev path because that’s REALLY saturated online and a serious race to the bottom. What about the option of opening a solo “agency” and going down the more established and traditional marketing routes to get clients? In your decades of experience, are most of the deliverables that come your way reasonably handled by a single worker?

[@breeze5393]

This is so incredibly useful ! Thank you for this video ❤

[@candidlyvivian]

thank you for watching!!

[@digitalboy4415]

Keep such informative videos coming! Maybe, how did you become a Data scientist?! And how long does it take!

[@candidlyvivian]

thank you for watching! i am currently scripting out my career journey into data science so pls stay tuned for that ❤️ it was defs a fair share of struggles + rejections

[@shamindakanchana2559]

Your videos are absolutely valueble to choose Data Science career

[@candidlyvivian]

thank you so so much for the kind comment!! :)

[@techwithnick4031]

Amazing! Thanks for the insight!

[@candidlyvivian]

thank you 🫡

[@generalyoutubewatching5286]

If no code tools are not the threats, what about offshoring? I got made redundant recently as my role was sent to India. The lesson I've learnt is that you shouldn't get comfortable in a BAU role where you job is just to run a predefined process. You need to be doing the high value-add work.

[@candidlyvivian]

i'm sorry to hear - that sucks. and yes definitely good advice to always be doing high value add work. I once had a colleague tell me he always wanted to remain a "key person risk" so that he was critical to the team.

[@generalyoutubewatching5286]

@@candidlyvivian hmmm, one of my coworkers who had achieved 99.9 ATAR was like that. It's a strange phenomenon. When you are growing your career, being the only person to know a task means that you wont' be able to move up! So train your people well. But don't fall into the trap of doing monotonous and repetitive work.

[@newenglandnomad9405]

Been studying sql and making initial projects for hopeful data analyst role. What I love about your video is you connect sql to the actual job with examples. Learning with fake data makes it hard to understand real world purposes. Even the quick snippet about clicks on a website becoming data to analyze was truly helpful. I ignorantly have taken a long time to understand where the data being analyzed actually comes from. Very educational video, truly can't thank you enough.

[@candidlyvivian]

ahhh this is the sweetest comment! thank you for your kind words + for sharing your experience too. I'm glad that the examples helped - I am more than happy to make a video on more real life data science examples (or even walk through some of my older projects) if you think that would be good?

[@newenglandnomad9405]

@@candidlyvivian A video walk through of past projects would be amazing. Learning basic to intermediate sql is logical enough, tableau and powerbi seem easy to grasp, but the actual problem solving/insights are difficult using kaggle. Thanks for your reply and truly appreciate your efforts!

[@candidlyvivian]

@@newenglandnomad9405 amazing! yes I agree that is also the part that is missing from most KZbin videos - more than happy to film that soon

[@bkkim3571]

Thank you for sharing this video!!! It is so helpful.

[@candidlyvivian]

thank you! I'm glad you found it helpful, I tried to condense as much info as I could in 10 minutes :)

[@AbdallahBoukouffallah]

I dream of becoming a data scientist like you someday

[@candidlyvivian]

thank you for watching Abdallah , you can do it!! :)

[@EnriqueProgrammer]

Llevo tiempo buscando trabajo como data science. Hoy tendré una entrevista! ya volveré para contar como me fue 🙌

[@candidlyvivian]

goood luck!!! please let me know ❤️

[@EnriqueProgrammer]

@@candidlyvivian I didn't stay =(

[@ivanlucos5559]

Thanks for the insights! Can you also provide tips for migrants on how to apply in a Data Science role in Australia?

[@candidlyvivian]

I can definitely! Thank you for watching 😃

[@yokebedgonzalez8500]

Thanks a lot, this is a great video!!

[@candidlyvivian]

I'm glad it helped! :)

[@therytus]

thank you for this!

[@candidlyvivian]

thank you for watching!!

[@user-jc4kv4md6q]

Hey so i want to ask you about what kind of projects should we practice building such that they are the nearest to the actual projects we will be working on as a data scientist in a comapany. Great video:) btw

[@candidlyvivian]

thank you for watching and for the question! I recommend going on Kaggle and trying out some of their problems. Some examples of projects I've worked on the past include: - identifying which customers will churn (i.e. close accounts) - which customers will make a purchase / miss payment I am also very happy to make a full video on 3 data science projects to work on

[@user-jc4kv4md6q]

@@candidlyvivian Thank you!

[@Avant402]

Excellent video on the Data Scientists!

[@candidlyvivian]

thanks Connie!! ☺️

[@omphemetsemangope5482]

Great insights Candidly😁

[@candidlyvivian]

thank you! :)

[@kaifeemadar3426]

Are you blackpink Rosé 's big sis? You look so like her 😮

[@candidlyvivian]

that is such a compliment! I have gotten this comment quite a lot - maybe it’s the face shape + eyes 😅

[@SandunWithanage]

Thnks ❤ How about data engineering

[@candidlyvivian]

no worries Sandun :) I've never worked as a data engineer so I can't give much input on this, but I'm sure there are plenty of other videos from data engineers on this

[@ltcrowley1]

Im a 15 year old starting to know as much info about becoming a data scientist 😁

[@candidlyvivian]

hi there! hope I can help :)

[@KomalTehreem-wk5xf]

What is your qualifications and how you get this job?

[@candidlyvivian]

hello! my background is in stats + applied maths, I had prior experience in finance & credit risk modelling + risk data science before transitioning into my current role. landed my first job through an internship program out of university!

[@JohnnyTranMan]

Haha I’ll add it to the backlog 😅

[@candidlyvivian]

my favourite line 😂

[@ATKS-mz2oo]

recommend more please help

[@candidlyvivian]

what would you like more of?

[@ATKS-mz2oo]

@@candidlyvivian In India, Data Science is a relatively new field, especially as a university degree. Many people are learning data science skills from different backgrounds, including mechanical engineering, without having a specific degree in the subject. However, I’ve observed that when companies complete their projects, they often lay off entire teams, except for those who have a computer science degree along with data science skills. This practice is really heartbreaking and unfair. Moreover, other companies do not easily hire those who have been laid off.Given this situation, I am currently preparing for the GATE exam, which is one of the most prestigious exams in India and offers an opportunity to pursue an M.Tech in Data Science. My family is in a very poor condition, but I am taking a break of 6 to 7 months to prepare for the GATE exam, aiming to do my M.Tech and then find a stable job.I am a mechanical engineering graduate and I just turned 25 today. I am really confused and depressed about my future and whether pursuing an M.Tech is the right decision for me. Your guidance and genuine help would mean the world to me and my family. Is there any advice you can offer or any way you can assist me, perhaps even with a company reference in your country?Thank you for taking the time to read my message. Your support would truly be a blessing for my whole family. I m living in slum areas you come and make vlog please help 🙇‍♂️ ( any personal contact for guidance sister)

[@Letslearntogetheruzh7]

7:34

[@candidlyvivian]

👋 hello!

[@praveenkumarchidrawar9008]

Thankyou.

[@candidlyvivian]

you’re very welcome :)

[@praveenkumarchidrawar9008]

@@candidlyvivian need you guidance how I start practice...!? Pls help me

[@MargarettSo878]

Hi!, newbie here, can you suggest Which online platform is best in learning data science?

[@ltcrowley1]

Does having masters have more benefits like getting a higher salary

[@candidlyvivian]

I worked at a company where your starting salary was 3k more if you had a masters, and 6k more if you had a phd. but i do think education gets less important the more experience you have in the workforce

[@ltcrowley1]

@@candidlyvivian thank you for clarifying my doubts💗

[@1T_pressly]

And I'm 17 year old getting into the field

[@candidlyvivian]

Yay good luck!

[@Factzandatories]

How much skill is required to get first job

[@candidlyvivian]

hello! definitely SQL + basic understanding of predictive modelling in either Python / R

[@SandunWithanage]

Waiting for others salaries