Day in the Life of a DATA SCIENTIST *wfh edition* 

really? no human interaction??

😂😂 I am also now named Bambi Eyes apparently 😂😂😂

Awesome, it's a great field!!

@@NicholasRenotte im doing stats is it good for DS?

I mean you recommend to go to DS with stats?

@@lukeskywalker2071 yep, but you'll likely still need a grounding in programming and modelling. It works as a great baseline skillset!

😅😅 thanks so much!!

😅aww shucks, thanks so much 😆!

YESSS! Awesome work man.

Ayyee, thanks a bunch!

Anytime!!! Stoked you enjoyed it @Leesha Jane 🙏!

Awesome stuff! Thanks so much @Gabi. They are both super lucrative careers, I think the core component to ensuring it's smooth sailing when applying for roles is demonstrating your ability either through work experience or a great profile (e.g. github or other)!

You're the first person that's mentioned it!!! It accidentally happened as well and I just went with it during editing 🤣

Thanks @David Tran, getting there!!

Thanks so much 🙏🙏, honestly the atomic habits technique works so well! Glad you're enjoying the videos and welcome to the team!!

@@NicholasRenotte The "take a small step" tecnique you mean? Atomic habits has a bunch of diferentes ideas

@@carmencorralesperez2590 yah, I think the core tenets are most important. Make it Obvious, make it attractive, make it easy and make it satisfying! s3.amazonaws.com/jamesclear/Atomic+Habits/Habits+Cheat+Sheet.pdf

Thanks so much @Rishika Deo🙏!

Hahahaha ah thanks! Glad you enjoyed it @Mehdi!

Awesome work @Mduduzi! Glad you enjoyed it.

Thanks so much🙏 @Amala Anene, let me know if there’s anything you’d like learn more about 😁! I think I showed two coffees in the video but ended up at 5 by the end 😅.

Awesome stuff! Welcome to the fam!

😂😂😂 it's mandatory!

@@NicholasRenotte 😂

@@mikro272 😂

YESS! Awesome work.

Heya @Jenny, if you're based in the US a Masters is a definitely needed if you're trying to break in. Outside of the states, boot camps + experience definitely work!

Jenny how is your journey going? I'm in the exact same situation as you. Lab scientist bridging over to DS. I would love some insight. :)

Thanks so much! I actually use a memory technique called a memory palace to memorise it and store my notes and journey in Excel. So basically I have the code description, the commands, then a vivid associated image to remember the code by and a path that I place that image at. Let me know if you'd like a video on it!

@@NicholasRenotte Wow!! It seems that excel is the perfect place to keep your journeys. I would love a video about that. Thanks for the answer!

@@israelp anytime! Yeah, i've tried a bunch of stuff over the years and tbh Excel worked the best. When i started programming for the first time that's the technique I used to get up to speed! Definitely will create a vid on it!

Finally published a vid on the technique @Israel: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-cCmGg_Pn9K8.html

😂 ngl I have been a little anti-social lately!

@@NicholasRenotte no prb😂...maybe someday 😅

@@Tangerinee16 definitely 🤣!

🙌 cheers @Felipe!

😂 ouch, nah there's a bunch of partying thrown in there every now and then!

I think they're all ikea 🤣, desk was this: www.ikea.com/au/en/p/norden-gateleg-table-birch-80423883/ changed it up now!

Heya @Hardi, I tend to use my Python so Jupyter Notebooks, for Web Dev I use VS Code and Postman a lot. I've used that same to-do list for 10 years, it's Remember The Milk (rememberthemilk.com).

@@NicholasRenotte great. Thank you for letting me know.

Thanks so much @Ibrahim!

Awesome stuff @DIVKING, let me break them down... 📈 Job Growth Honestly there's a ton of opportunity (including opportunity to grow) but as with all jobs in tech it can get hyper competitive! 👔 Getting a Job It took me a little while to get a job, a lot of it came down to how I marketed myself. Having a great portfolio boosts your chances of landing an amazing job by a huge margin! 💸 Salary Lucrative but you need to be in the right locations, especially where there's demand for data scientists. 😫 Pressure The team you work in often defines the pressure, I tend to work some pretty long hours but it's mainly because I really enjoy it. 🚀 Staying in DS? That probably leads me to the next answer, I definitely plan on growing into the field...at least for the forseeable future.

Haven't heard of it :) honestly if you get through this you'll know all of the Python you'll need: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-yGN28LY5VuA.html

Heya Paula, where are you based? Having a Masters seems to be the benchmark if you're in the US and some parts of the EU. Outside of there, having a strong portfolio AND experience is paramount!

I personally love mechanics (not an engineer in any sense) but I think I prefer working with data more in terms of analysis and building products. It really depends, my honest advice, try out the work in DS and see if you like it. This playlist shows a pretty common data science task that you might be asked to do on tabular data: ru-vid.com/group/PLgNJO2hghbmjNrHZqplNMEpsW-QLFdvJV

Definitely, because you already have industry background. I would focus on leveraging data science in that particular field, that will make you a double threat when it comes to looking for jobs! I wouldn't try to become a generic data scientist but rather apply data science to the field I'm already working in!

🤣 yah man, peak busy season gets a little cray.

Heya @Abdul, there are a number of courses which I found particularly useful! Specifically, I found the Machine Learning and Deep Learning courses by Andrew Ng quite useful. That being said I think it's most important to start trying out your hand at some experiments, try learning some Python, play with Pandas (ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-tRKeLrwfUgU.html) and build a machine learning model (ru-vid.com/group/PLgNJO2hghbmjNrHZqplNMEpsW-QLFdvJV). Once you've done this, start creating a portfolio for yourself on GitHub to showcase your work! This is super highly regarded by prospective employers!

@@NicholasRenotte the second link isn't working, could you please share it again?

Heya @Poco, I think the first thing to do is start getting comfortable working with data! Try checking out this, it goes through a full data science workflow: ru-vid.com/group/PLgNJO2hghbmjNrHZqplNMEpsW-QLFdvJV. Once you've done that, start building some of your own projects, learn to get really comfortable with Python and build a portfolio!

I wish 😂 it fluctuates widely, some weeks are way lower than others, but I'm normally doing ML/software engineering for new projects when client work is quiet.

Nice flat the rent must be high with all these facilities at hand.

Oh, it realy depends on what you want to do? I think hard skills are invaluable. Getting a masters is very much dependent on what you want to do and where you want to work!

@@NicholasRenotte Which master's degree should I do to achieve my end goal as a data scientist?

@@arunkhrishna790 best advice? Take a look at the jobs that you eventually want to have (at the companies you like) and see what they're asking for! Most will say what fields they like their data scientists to come from.

Occasionally but not a ton any more TBH. Thanks so much @Daniel!

You could become a Python gun and you'd be completely fine. TBH it helps to have a little expertise in other tools as different organisations using different stacks.

I think the main thing which can sometimes be considered a con is the frequency of change. There are always new packages to learn and new things to get up to speed on, it can sometimes get tiring but if you enjoy learning new things it actually makes the field even more interesting.

😂 data scientists don't work out?

@@NicholasRenotte Maybe in the morning or at the evening but at lunch time is not common at all, but I respect you for that. Really enjoy your channel. Keep up the good work!

Sure do, I work from home 100% atm. Even prior to lockdown I worked primarily from home and went out to clients directly.

Awesome work! My best advice @Hiền is to take a look at this ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-oLpBGtY-_sI.html should give you a good starting point to kick off from!

Hey! I’m starting out my channel to share more insights in data science and would love for you to check it out :)

@@candidlyvivian awesome stuff!!

Awesome! Go get em! Right back at ya from Sydney!

Give me a roadmap to become a data scientist. please....

@@anggafebrian2279 here you go: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-oLpBGtY-_sI.html check out the cheat sheet as well!

Awesome stuff @Chan A. that's a HUGEEE accomplishment!

I think they're actually very closely related and often you have Biostats and Bioinfomatics people transition over and likewise have Data Scientists that focus on biological or health based industries!

@@NicholasRenotte Thanks that's very enlightening

@@miltonkambarami8129 anytime! What type of projects do you work on normally?

@@NicholasRenotte Evolutionary Viroinformatics, more like use of bioinformatics to study evolution of viruses. I have worked with HIV and currently Coronaviruses.

@@miltonkambarami8129 nice, sounds particular relevant given the current times!! Having in depth industry knowledge when becoming a data scientist is a huge advantage btw!

For work stuff I still use powerpoint, for personal I use google slides. YES, definitely. Here are my general rules: 1. Show don't tell: if you can demo your work it's better than talking about it 2. ALWAYS set an agenda and confirm people are happy with it 3. Tell a story (problem/complication, exploration/research, solution/resolution) 4. Minimize use of jargon 5. No more than three points per slide

@@NicholasRenotte Loved it! Thanks a lot

NEVERRRR TOOO OLDDD! Go get em!

Definitely, you could niche down or have a specific major @Aniruddha!

I think the roles are less specialised when working for a smaller company. Most DS's are normally doing a bunch of regular software engineering at the same time!

🤣 in the office I'd probably wear jeans but other than that I definitely rock the t-shirt and casual blazer most of the time! Most days I'm in board shorts and a singlet tbh 🤣

Sure is! I started out in straight data analysis and business intelligence!

🤗 thanks so much, one of the subscribers nicknamed me Bambi Eyes from it 😂

Ask and ye shall receive, check it out: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-xSElsMUqFqI.html

Really depends on your preference @Dylan and what the Universities are like. Can you niche down in your CS major and focus on analytics or DS?

@@NicholasRenotte Hmm, I'm not sure yet. I start college this fall so I'll try to figure everything out there lol

Heya @Angela, few questions there: 1. From learning to code from scratch to my current Data Science role it took 1 year and 8 months. 2. I started my Masters but ended up stopping it as the industry was moving faster than the Uni could keep up with, it seemed like a lot of the content was out of date by the time we completed it 3. Definitely, as with all things, you have to be interested in it though!

@@NicholasRenotte Hello Nicholas - I really appreciate your answers in this comment section, and I've subscribed. What would you say your average hours per day were during that one year and eight month period? Did you get a grip on many programming languages?

@@johnpickwick407 thanks so much! I don't know if average hours is a good metric as there were such high peaks and troughs (and still are). Most days I'll work 7-8 hours but this could easily ramp up to 14 hours if we have an urgent client engagement or drop down if we're presenting at a conference that week. In terms of languages, YES! I came in knowing Python and have picked up Javscript, Node, React, OPL, SQL and have done a bunch of Bash and Powershell scripting as well.

@@NicholasRenotte Sir - thank you so much! I came away from my comment believing that I arrived too late and my comment would be ignored, but I was very pleasantly surprised by your response just now. Thank you so much for your generosity - your contributions here and elsewhere on your channel are very much appreciated!

@@johnpickwick407 you're most welcome! I'm running a little late with my replies but I'll always endeavour to get to all of them 😊

Heya @Jeremy, I think it definitely helps, but it's not a barring factor. You can learn your domain by working closely with the people in the business. This is why the Business Understanding step of the CRISP-DM lifecycle is so important (yet so often overlooked)! From a skills perspective, there are many great online resources to learn from. With consistent effort there's nothing really stopping anyone becoming quite sharp as a ML Engineer or Data Scientist. As an aside, these are the questions I normally ask myself when working with a new team or client to get up to speed fast: 1. What environmental factors are important to this type of task or business? This helps you learn about factors which may impact your data or task as well as getting a better idea of your client's aspirations. 2. Where is the data from, who collected it, when was it collected? It's important to note the conditions under which your data was collected so that you can begin to understand inherent biases. 3. What is the definition of success for this particular project? This is where the skillsets bit comes in. If the client wants to have a web based ml model with 99.9% accuracy, then you know you're going to need to draw down on multiple skillsets (algorithm work and web development/software engineering).

@@NicholasRenotte You’re amazing man! Thank you for giving me such a thorough answer. We, your followers, are lucky to have your channel to learn from and be inspired. Thank you for sharing so kindly!

@@jeremymarshall7273 anytime!! If there's anything I can help with, just give me a shout!

@@NicholasRenotte I definitely will!!! 😃

😂 honestly, that espresso machine is my life! Been up for 10 minutes today and already half way through my first coffee.

Heya @Holly, on a good day it's around seven hours! Sleep by 12 and up at 7AM.

Definitely, remote work is becoming more and more common. I think time-zones can sometimes be a limiting factor but it's definitely possible.

Heya! For context I have a degree but it's not in Data Science or anything technically related for that matter. I personally think it's definitely possible to land a role in DS without a degree, there's great resources out there from leaders in the field and there's nothing stopping anyone from building up the skillsets required. However, if you plan on not getting a degree, you still need a way to demonstrate your ability. The best way to show people what you can do is to build an amazing portfolio of work on github, write some articles on data science and contribute back to the DS community.

@@NicholasRenotte Im taking that as a yes but with a lot of hard work

@@arepaconqueso4800 yep! I'd say it's just as much work as you'd put into a degree but way more interesting because you can choose what you learn and focus on!

An absolute ton but this is mainly because I'm operating as more of a consultative rather than an in house data scientist.

Definitely, if you're intersted enough you'll pick it up! Tbh, I started off really slowly when learning coding and actually originally entered my masters degree without knowing how to code. It's an awesome field, I think you should definitely go for it @Zi Zhong Yan!

@@NicholasRenotte Thank you for the reply! that gave me a lot more confidence.

@@zizhongyan9283 anytime, you're most welcome!

Thanks so much @KNW-Seeker!! 🙏🙏🙏

Everything is from Epidemic Sound!

Heya @Nicholai, they tend to work hand in hand and their roles often overlap (and differ from company to company). From what I've seen, most data scientists tends to work on all aspects of the CRISP-DM lifecycle, problem identification, data understanding, data prep, modelling and sometimes deployment. ML/AI engineers tend to spend more time in the modelling (actually training, building new algorithms) and deploying/implementing the algoritms into production.

@@NicholasRenotte that's cool I'm glad I found this Channel 🙂 What was your undergrad and is it necessary If you could work as open AI or deep mind would you do that instead

@@abdullahe3674 thanks so much! It was in Finance! Hmmm, I don't think I'd enjoy a pure research role, I love applying the tech which is what I do now!

In a previous role?

Essential part of my daily routine! 😂

Hey man, thanks so much!

Tried to cut it down a while ago, these are left! Productivity To Do List: Remember The Milk Workout Tracking: Google Sheets Time Management: Pomotodo Project Planning: Trello Coding Data Science: Jupyter / Watson Studio Web Apps: VS Code Creativity Video Editing: FCPX Streaming and Recording OBS Image Editing: Canva and Photoshop

@@NicholasRenotte thanks bud! Have a good one man

I'm actually a finance undergrad @Anime Sensei and transitioned. From a progression perspective it's best to check the entrance requirements for the degree from your university.

Definitely @Vinicius, it's probably 60-70% of the work!

I don't particularly think so (I for example don't), you do have to have a passion for learning and be willing to show your skill through other ways though. Think of a Masters as proof that you can do DS, if you don't have one then you just need to demonstrate your skill in other ways e.g. a great portfolio of projects, work experience, etc

@@NicholasRenotte I see, thanks for the response!

@@valrindelsubaan9230 anytime!

Heya @wyatt, it really depends on a few things: Type of DS, Location and Experience. The low range for one in Sydney from Indeed is aroung $AUD80k (Source: au.indeed.com/salaries/junior-data-scientist-Salaries) but this is going to vary widely. To boost your chances of snagging a high paying role, make sure you've built up your brand and have a great portfolio!

@@NicholasRenotte thank you! I was thinking about eventually getting into this field. I’m thinking about enlisting in the military for four years and then getting my associates through that. Then apply to embry riddle for my bachelors. And hopefully do that all in six years . My goal is to have electoral engineering with a minor in systems engineering. I’m currently a senior in high school and I don’t want to get in any debt so my path is gonna take me longer but I think with the four years of navy experience is gonna boost me in looking for good paying entry jobs.

@@NicholasRenotte I also want to say thank you for taking your time to respond it’s much appreciated

@@wyattforest6218 anytime! It's an awesome field to get into, if I had to go back to college again, I'd definitely start out in engineering as it gives you an awesome mathematical base to start from!

Sure do!

Thanks @Gary, I'm based in Sydney, Australia!

Thanks so much @Hamza! I studied Accounting and Finance.

@@NicholasRenotte how does your career help you in data science? Or it wasn't necessary? Greetings 😊

@@keylaacua I think it helps a ton, I learned a lot about data quality, data preparation and data visualisation as a Management Accountant. I then did some work in Risk and Project Analytics as well, all of those roles gave me a better understanding of what makes businesses work. Learning the technical components was sort of like the cream on top, it allowed me to leverage Business Understanding to build better models! Great question!

@@NicholasRenotte thanks for answering 😊 I am an accountant too, and I am recently learning to program.

​@@keylaacua AWESOME, IMO it's one of the best skills to have regardless of what you do! Check out this video, it shows you how to work with data in Pandas (like working with Excel tables but in Python): ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-tRKeLrwfUgU.html

🤣 I swear man it’s a deep cup!!

hahaha I do sometime also

@@happythoughtsproject696 🤣🤣 I'm literally finishing my morning coffee like that rn.

Great question @Neil, I think you need a good grounding in the basics to be able to keep progressing. The more I learn and work on deep learning the more I'm seeing value in having matrix math, algebra and calculus!

Oh 😅, yeah probably not the best habit but it's awesome for mental clarity. I normally fast until 12 so it's just coffee and water up til then!

😏 guilty! thanks a bunch 😅

You know what they say about big shoes, big socks 😂. Oh man, i can't run in tight shoes, did an ultra marathon a few years back and destroyed my feet so I always keep them a little looser.

@@NicholasRenotte 😂 I see. cool video btw