How I Would Learn Data Science in 2022 (If I Had to Start Over)

Every year, I like to refresh my advice about how I would go about learning data science from ground zero. The data domain is changing rapidly, and as my own knowledge grows, I think it is important to re-evaluate the approach that I would recommend.
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Pandas Documentation: pandas.pydata.org/docs/
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0:00 Intro
0:42 Is it Possible to Learn Data Science?
1:33 Where to Start Learning
2:33 How to Create a Learning Map
3:55 What Would My Learning Plan Look Like?
5:28 Before You Start with Projects...
7:05 Statistics???
7:45 Project Obsession
9:00 How to Leverage Projects Effectively
10:14 How Long Will This Take?
10:48 An Important Note on Goals
Starting off, I want to debunk the idea that you can “learn data science”. This implies that data science is a static subject that can be learned in its entirety. For better or for worse, data science is constantly evolving and growing. I don’t know a single person including myself, that could possibly know the whole field. Learning data science is a journey not a destination, and coming in with this mindset can make this process far more enjoyable for you.
First, I would start with a learning map. You need to plan your learning journey. Next, I would start learning python. You need to understand the basics here. After that, I highly recommend looking at other peoples projects and work. Finally, focus on data science projects to engrain new topics!
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Check These Videos Out Next!
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[@KenJee_ds]

(Reminder that all resources I mentioned are linked in the description!) Thanks for watching everyone! Let me know what your goals for this year are below! Mine Are: - Do a project with a Generative Adversarial Neural Net - Enter at least 1 Kaggle Competition - Do at least 4 projects and share them on KZbin

[@coptic9656]

Thanks for the upload 🙏❤️

[@coptic9656]

Sir could please share the scope and salary range of Data Scientist in India and also around if possible 🙏

[@piyushzope10]

@@coptic9656 Scope is vast and salary as per skills...

[@prod.kashkari3075]

GANs are cool!

[@manuelcervantes1939]

Thank you for sharing your knowledge and expirience, Im waiting for the 4 projects on KZbin

[@vijaykumardobariya7466]

Path… 1. Coding (Python)/ SQL 2. Do projects on Kaggle 3. Learn Statistics 4. Learn algorithms (classification, regression) 5. Do projects again… (start from interesting projects and goes towards complicated projects ) 6. Deep learning (computer vision) >> depends on interest 7. Projects projects projects

[@waynelast1685]

agreed but deep learning is more than just computer vision?

[@CabralNick]

Do I need to know Excel?? Cause I'm pretty rusty on it, or I just go learning. Python first??

[@hellras]

@@CabralNick You could learn Excel and Power BI if you want to start there. But Excel has limitations and you'll have to learn Python eventually. So you could just skip Excel entirely and go straight to Python. Find out what works best for you!

[@ANONIM9123]

I used your project-based learning approach from last year's video to learn data science. After 15 months and 700 hours of learning (no online courses, just individual studying), I landed as job as a mid-level data scientist in financial fraud detection. Thank you! This video is spot-on. Especially your emphasis of building a roadmap and systematically updating it as you grow. 2 not-obvious study habits which I found helpful: 1. I kept multiple projects open so that after I went through a topic (e.g. feature selection), I could implement it in multiple projects. 2. For each topic in my roadmap, I kept a date of when I last implemented the technique in a project. This helped me identify important topics which I had covered a while ago and might have partially forgotten, so that I could refresh my knowledge/skills.

[@piyushzope10]

Hardwork 🙌 great efforts brother... Congratulations 🎊

[@KenJee_ds]

Congrats!!! Also thank you for sharing your experience with the community :)

[@jamilurrehmanamini4878]

can you please tell us how did you do it ?

[@Josh-gk8rd]

@@jamilurrehmanamini4878 literally what he just told us😂😂😂

[@ANONIM9123]

​@Nuclear Nadal That was 80-90% of the time.The rest was reviewing notes and python exercises on codewars.

[@mariopaul6505]

Been waiting for this video!!!! To anyone reading this, if you're looking to break into Data Science in 2022 I 100% recommend subscribing to Ken's channel and following his advice!! Back when COVID-19 started in 2020, I was looking to break into the field and I had no experience, no projects, and I didn't know where to start. 6 MONTHS after subscribing to Ken's channel and soaking in all of his advice through his videos, I got a job as a Data analyst. I'm living proof that this channel is 100% all that you need to get started. Thank you Ken and & I can't thank you enough for the doors you have opened for me.

[@KenJee_ds]

Thanks for the kind words mario!

[@KenJee_ds]

Congrats again on the incredible achievement!

[@sweetness2689]

Did you take a boot camp course? If so which boot camps do you recommend?

[@AhmadBazzi]

Lovely learning map, Ken ! And yes 4:30 math is very important ^^ Love your channel and your content, keep it up.

[@AR-hp2jl]

how so is calculus important?

[@KenJee_ds]

Thank you Ahmad!!

[@LukeBarousse]

I’ve been waiting all year for this! 🙌🏼 Solid advice Ken!

[@KenJee_ds]

Hopefully it didn't disappoint! Loved your new video too Luke!

[@LukeBarousse]

@@KenJee_ds Aww thanks Ken!

[@afshinbidar]

What an amazing and helpful video!!! Thanks a lot dear Ken

[@irwin-hirsh]

Thank you! Great place for me to get started!!! inspirational framework

[@miselw]

Thank you for sharing your experience! I just got an internship to be trained as a data analyst and learning Data Science basics. I felt so lost as a person in their mid-thirties feeling like my previous Psychology BS degree with English/Math minor was worthless. Your video has given me hope that I can obtain this knowledge with a bit of planning and goals.

[@KenJee_ds]

Congrats on the internship!

[@juancruzbayonas3320]

Happy new year! Thanks for all the videos and the community you have created!

[@KenJee_ds]

You too Juan!

[@mh4841]

Great advice on typing out other people's work. Myself as a beginner it's easy to get flustered on projects as some solutions/tools I have not yet been exposed to. By looking up other's solutions/work and typing them out it really helps me to understand the anatomy of the code. Furthermore, sometimes the solutions don't work as I am using python 3.10 and so I have to work out and start fishing around for the latest 'iteration' of the module/code and that actually helps to drive home the knowledge.

[@KenJee_ds]

Thanks for sharing your experience MH! Glad to hear you're living proof that this works!

[@cheekiereynolds]

This has helped me tremendously! I'm a database coordinator and I feel so clueless at times because I don't know enough about this subject. I will definitely take your advice about setting smaller goals. At first, my goal was to take all of these courses, get certified and that would be it. But, now I know that this is a process and learning data science is continuous. I now have a more clearer picture of what my path should look like. Thank you so much! You just gained a sub!

[@KenJee_ds]

Really glad to hear it helped! Thank you for watching 😀

[@mjjjjjjjjjjjjjj]

I'm pivoting to data analysis/ science and my passion is Supply Chain & Logistics (and more broadly Industrial Systems). This road map was super helpful. Thank you!

[@whattenidid8980]

Brilliant! I wish I had seen this when you posted this. So many great resources! Thank you for sharing. Definitely subscribed!

[@KenJee_ds]

Thanks! Really happy to hear it helped!

[@ruthmk]

This is such solid advice for a complete newbie like me. I’ll start looking at the resources you’ve provided. Thank you!

[@KenJee_ds]

Glad it was helpful!!

[@issurahking2315]

Thank you for all the information that you share. I've spent several months considering the proper career switch after deciding not to return to medical school. At this point, I'm confident that data science is the proper career path. My overarching goal is to use data science in healthcare, but I am open to other fields. I found your channel today, and I want to say I am already grateful for your content and the resources you share. In addition to this video, I watched a video this evening in which you mentioned that Jan 4 is your bday. Happy Belated Birthday. May you continue to experience joy and success.

[@KenJee_ds]

Thanks Issurah! Excited to hear how your progress goes! I do my best to answer all the comments, so feel free to ask questions as you go here!

[@ninabadmaeva7569]

Thank you, Ken! Very helpful)

[@vishwajam5088]

Awesome!! This is really helpful. Thanks

[@KenJee_ds]

Thanks for watching!

[@datalo0618]

This video is extremely accurate. I have had such a hard time learning how to be a data scientist. I am in a MS in Data Analytics program and feel that doesn't really provide any real direction. I don't know what I don't know and that keeps me from learning what I need to know. Seeing the path helps, thank you. I would like to say I have struggled to learn R and I seem to be getting SQL quickly and I think this will help my confidence. Getting one language down can help to learn another, just from a confidence standpoint.

[@KenJee_ds]

Glad to hear things are starting to click Liam! I highly recommend focusing on one language to start, getting good at it, and then exploring others!

[@umadchet3426]

Hi mate, can I just ask, are you learning R by using the Tidy Verse collection of packages or just learning base R. If you aren't taking advantage of the Tidy verse, I highly recommend as compared to base R it is very intuitive.

[@fndpires]

Congrats and thanks Ken! Happy new year to you, as much like you made my last year. You are helping people man, keep the vibe! Respect from Brazil! :D

[@KenJee_ds]

Happy new year to you too! Eat some Picanha for me!

[@fndpires]

@@KenJee_ds lol I'll 🤩👍🏻

[@onishea100]

Everytime I watch your videos I feel a little gentle push telling me I can do this and equipping me with all the tools mentally and physically. Thank you Ken. I always have new found confidence and a new way of thinking of things after watching your videos. 😊

[@KenJee_ds]

You can do it!!

[@lauraanihealey]

Thank you for your kind words for how to start on the path of data science. Glad to say I had already a list of short course and webinars I have completed and a list of one's I wish to advance up too. I to completely agree on what I call ' cut and paste and make it my own' version of projects in python. After doing a very poor course in python I stumbled my way through to taught myself by doing just as you said in your video, that opening a screen and just typing it out and running it. I am visual person so makeing it my own by styling was how I learnt the best. Loving the colour or direction of xlable I could control, my understanding and interest peaked. This then grew into wanting to graph better results, more complicated, while, ifs, else all started to become tools. Now seeing the hurdles at the start to the hurdles I over came I'm so proud to complete my course as I know I can build from this, I never know it but I know I can do it... Reminds me of cooking when I first left home, you just keep getting better the more you try and read up on it. If your at the start of your data career good luck.

[@KenJee_ds]

Amazing! Love the cooking analogy haha

[@AlexKashie]

Very helpful… Been thinking a career move to Data Science and your video is all I needed. Thank you so much

[@KenJee_ds]

💪

[@shrutijain1628]

Really love how it will add up to previous video on this topic 💯

[@KenJee_ds]

Thanks Shruti!!

[@sunaoyamanouchi2649]

Thank you Ken. Great advice!

[@KenJee_ds]

Thanks for watching!

[@ahmetenesyalcnkaya5180]

All of them are such great advice. Thanks for the inspiring ideas. 😊 Furthermore, I completely agree with you about data science is a journey.🚀

[@KenJee_ds]

Thanks for watching Ahmet!

[@HeatonResearch]

Great video Ken! I will be sharing with my incoming students this semester!

[@KenJee_ds]

Thanks Jeff! I hope it benefits them!!

[@BoitumeloMasekoM]

This is a great video. Thank you. I needed it.

[@KenJee_ds]

Thanks for watching!

[@bababouibababoui4726]

Thanks a lot, some of us have only just started using python properly the last few months and videos like this are very useful

[@KenJee_ds]

Glad to hear the video was useful! Good luck on your learning journey!

[@DataProfessor]

This updated video is epic. Your pioneering "If I had to start over" video had inspired so many similarly named videos in the tech youtube space. Certainly agree with you on the importance of coding and how that opened up several doors of opportunities in accessing "power tools" for the data science learning journey. 8:01 Also thanks for the mention 😆

[@KenJee_ds]

Thanks for making such a great statement Data Professor!

[@anubhavgoyal3211]

Congrats for 100k data prof!!

[@LukeBarousse]

Solid advice @Data Professor !!!

[@DataProfessor]

@@LukeBarousse Thanks Luke :)

[@chandnipansari9418]

Thank you so much specially for putting this video out.

[@KenJee_ds]

Thanks for watching!

[@RoyMathieuBorole]

Great Video! Thanks Ken!

[@KenJee_ds]

Thanks Roy!

[@axel_r_]

Love these videos. You can make new version of these info videos every year and always be relevant. 👏👏👏

[@KenJee_ds]

Thanks Axel!

[@victorhinojosa9052]

Hey Ken! Thanks for the vid, man! Looking forward to beginning my Data Science Journey in 2022! You'll be seeing me throughout the year.

[@KenJee_ds]

Thanks for watching! Looking forward to hearing the updates!

[@victorhinojosa9052]

@@KenJee_ds Absolutely! I am currently going to start by re watching this video like you said, and then create my roadmap. I have already downloaded R and R studio, but I think I will begin with Python. In addition, I am prepping to begin taking a Data Science Certificate course through Outlier, so I am hoping that certificate will assist me with some concepts and knowledge to help me. I told my self 2022 was gonna be the year I vastly improve for Data Science.

[@RizzwareEngineer]

hey ken! i'm a freshman double majoring in cs and stats - also pursuing a data science-related career. just thought you should know that i as a college student find your channel extremely insightful and valuable. wishing the best for you and your content coming into 2022 :>

[@KenJee_ds]

Awesome! You chose an awesome major, I wish you the best of luck in your studies!

[@piotrzieba8415]

Great content!! Thanks a lot !!!

[@KenJee_ds]

Thanks for watching!

[@danielstepanian3350]

great video, thanks for advice!

[@KenJee_ds]

Thanks for watching!

[@cinadasmith3805]

Thank you for this video, Ken. New Sub, aspiring Data Analyst. Will binge watch your vids. 😀

[@KenJee_ds]

Amazing Cinada! Glad to hear it helped!

[@mabenba]

Thanks for the recommendations Ken! I am always updating my learning path to include new things or based in things I enjoyed the most, for example making a deeper dive in data visualization. What happened with the editing? There is a frame mirrowed in minute 5:52. Your desk is in the other side of the room. Thanks again for the amazing content!

[@KenJee_ds]

Haha my editor flipped it on purpose. I said right corner and I pointed to the left so he corrected it

[@danadasachan7208]

Thanks Ken. This was very helpful.

[@KenJee_ds]

Glad to hear! Thanks for watching!

[@iReaperYo]

Great video. Picked up some tips even as a masters graduate still refining my craft.

[@KenJee_ds]

Awesome!

[@benweilu4839]

thank you for the high quality videos

[@KenJee_ds]

Thanks for watching!

[@pjyango25]

Very informative! Thank you

[@KenJee_ds]

Thanks for watching!

[@hrodrostadt]

This is how all videos should be, helpful and wholesome. Thank you.

[@KenJee_ds]

Thank you for watching!!

[@shandhirani7559]

Brilliant video, very clear and concise Thank you 🙌🏽 Sub!

[@KenJee_ds]

Thanks for watching and for the sub!

[@achmadrifkiraihansyahbagja2113]

"When beginning with this projects, they don't have to be original. You can go through the exact same analysis that someone else did, and still learn something. But typical learning session could just be you having someone else's project on half the screen and you typing it line-by-line and running it on other half of the screen. As you do this you can change the parameters, you can experiment with different visuals and see how it works as you go." This one what i've been thinking for. i feel like i do nothing if i see someone's project and copy it to my notebook, but you just said it and i totally agree. we can experiment it with changing the code, maybe we use a different way to clean the data, or just define a function that others use repeated code, (a.k.a use DRY concept), and so on. thanks Ken Jee, it really helps me out.

[@KenJee_ds]

Yes! It is all about experimentation! Glad it helped out :)

[@tokkigifs]

one thing I love about computer science in general is that you don’t stop learning but advancing your skills and knowledge

[@KenJee_ds]

So true!

[@anishchandramohan2389]

First time to your channel Great advice thank you. I am going to start with all the points you said.. Right video at the right time :)

[@KenJee_ds]

Thanks for checking out my video Anish!

[@anishchandramohan2389]

@@KenJee_ds Thanks for replying means a lot to me :)

[@sunilrskanda1588]

thank you for Realistic words about learning process Data science.I immense me to follow you day by day for self growth towards Data Science

[@KenJee_ds]

Thanks for watching!

[@NuTechSerious]

Thanks for this video Ken. I decided to go into Tech in 2018 by learning web development. Learnt a bit of HTML, CSS and Javascript. My goals has since evolved through this period as I got interested in python programming and Data science. My current interest now tends towards deep learning and AI Interesting my knowledge of front end web development will be very helpful in web scraping.

[@KenJee_ds]

Super useful skillset if you ask me!!

[@datasolution-3607]

Very informative indeed.thank you so much

[@KenJee_ds]

Thanks for watching!

[@iyanuarowosola9307]

Boss Ken.. 6months on the go... I consider I'm a good learning path. I'm starting with statistics (19hrs tutorial video), then I will take up math to Excel/python... Thank you for this

[@KenJee_ds]

Thanks for watching!

[@veereshkurubara8652]

As I learnt python. I was working on projects from kaggle with a problem Statement. I was searching different data exploration techniques. You explained it clearly I love the way you teach. I am following you learning strategie. Thank you

[@KenJee_ds]

Awesome Veeresh!

[@Lily-yg4dl]

Thanks a lot for a fantastic video.

[@KenJee_ds]

Thanks for watching!

[@q-revdigitalmarketingdatas4563]

Thank you Ken!

[@KenJee_ds]

Thanks for watching!

[@Seven30onFriday]

Great video. Thank you.

[@KenJee_ds]

Thanks for watching!

[@mohammadhegazy1285]

thanks for the valuable wisdom

[@KenJee_ds]

Thanks for watching!

[@abdoomar8899]

I watched the video so many times to stay motivated. 2 months since I started, hope I can jump into doing my own projects soon.

[@KenJee_ds]

Amazing!!

[@waqasali-nw4oe]

So I have decided that 2022 will be the best year of my life. I've started learning Python on 1st day of the year and up till now I have covered most of the basics and made some simple programs as well in last 20 days. So far it's going good. Thank you for this video. I wanted to ask, when should I start practicing on Kaggle now? I Study around 1-2 hours daily after my job and 3-4 hours on weekends...

[@KenJee_ds]

Awesome! I think it will be a great year for you too! I recommend starting before you feel ready. The micro courses should be digestible for you even now.

[@iqratahir4886]

from where u learning

[@IceIce-fb6xf]

Hey waqas, Please can we link up. I am also learning python as well.

[@iqratahir4886]

waqas ali ?

[@sunil.greddy3810]

Ur source of learning

[@brettbickham9579]

I am looking forward to beginning this journey.

[@KenJee_ds]

Awesome!

[@TheAlmostAstrophysicist]

Hi Ken! This is AWESOME - I've been a Data Scientist for a few years now and completely agree about constantly needing to learn and refresh the data science toolkit. I didn't start out working on ML models but my work led there over time and had to learn on the job. Just joined the #66DaysOfData challenge and discord for Day 1, really excited to dedicate time to explore the field more. Thanks so much!

[@KenJee_ds]

Excited to have you as part of the challenge! I just followed your channel, really enjoy the content!

[@TheAlmostAstrophysicist]

@@KenJee_ds Thank you!!!

[@paulomenezes4867]

I really appreciate the advices! ;-]

[@KenJee_ds]

Thanks for watching!

[@user-sh9ps7zj2q]

Nice vid, bro Thanks

[@KenJee_ds]

Thanks for watching!

[@renevanzyl7084]

Totally new to data science, have not even started learning anything as yet- reason why I watched your video. Ps very enjoyable. Hereafter, I'll remember what you said: write down my goals, but keep evolving them as I learn

[@KenJee_ds]

Good luck!

[@shadowitself]

appreciate it :) actually, it mitigate a little bit my anxiety in terms of "OMG I need to learn ML within very close future, but I'm under ground zero level" yeah, so first goal is the ground zero, next 1st flor but in the middle aprox 20 smaller stair steps but most important is to DO it in endless itterations :D

[@KJ-ew7zw]

Thank you so much!

[@KenJee_ds]

Thanks for watching!

[@saturnteatree]

First suggestion was spot on!!!!

[@KenJee_ds]

Thanks for watching Sandy!

[@mohamedwado8363]

Very Super Nice video .. Big thanks Champ 💪🔝

[@KenJee_ds]

Thanks for watching!!

[@reakal7740]

Congrats Ken!!! I loved this video! Especially the roadmap on how to learn Data Science 📍

[@KenJee_ds]

Thanks Rea!!

[@LaTonyaHiggins]

Yes, I agree I will watch you 😎 again!

[@KenJee_ds]

Thanks LaTonya!

[@joshuaozoya5993]

Thanks Ken, I took off with python basis last two years, within the space of 2 months, I was already in Pandas, and doing the Jupyter thing. Anyways everything poured on my face, and I just gave up. With this video I saw my mistakes. Roadmap. Starting with the basis and mastering them. Then you proceed. Spend as much time as you want to learn the basis. When your is strong, your building will last forever. Thanks again Ken. 🇳🇬

[@KenJee_ds]

Yes! Excited to hear how your future learning goes!

[@sixxwayy4240]

Nigerian here too. I took Python serious at the start of this year and I intend to code everyday for the whole 365 days of this year. If you want a coding buddy, Lemme know. For accountability purposes

[@kenk684]

Excellent video to watch at 5am!

[@KenJee_ds]

Thanks!!

[@chrismarlow9585]

Great video! Seems like a very sensible roadmap for becoming a good data scientist. I'm here to comment because you said 6+ months to learn and I came to this video because I've only got a few days. I've got part-way through a recruitment process to be a data scientist and have a background only in maths and economics. I'm teaching myself python and SQL in about 4 days! Kaggle seems like an excellent resource to use on the fourth day, didn't know about it until watching this video. I hope this comment gives people a small chuckle at the task I've found myself with!

[@KenJee_ds]

Haha would love to hear how the interview goes!

[@chrismarlow9585]

@@KenJee_ds Had it today... I think it went well. They sent me Python and SQL code 24hrs in advance for me to talk through in the interview. The rest of the interview was logic questions, suggesting solutions to extracting the correct information from tables (spoken, not code) and data table comprehension. I'd say the talking about the code was my weakest area, which is not surprising, but I gave it a good shot. A key thing I missed was you could assign values of another column into a sliced dataframe. The slice was checking a logical impossibility that might come up from inconsistent data and replacing it with a correction... which I basically misunderstood and thought was an incorrectly written slice. Hopefully my immediate "Oh you can assign new values into a slice" as soon as they pointed that out was clear enough that it was just I hadn't learned that was possible yet. They knew I'd taught myself everything in a few days, so took that into account. Hoping to hear back from them soon. I'm feeling sheepishly hopeful

[@chrismarlow9585]

@@KenJee_ds Update: I got the job! Turns out I did really well all around and because they knew I only had a few days to learn coding they were very impressed how much I'd managed to pick up.

[@kevinkasp]

Ken, I keep coming back to this video, not only for the excellent advice on both the learning path and the learning mindset to have, but to the beautiful scenic drone and Go Pro-type footage. It's such a beautiful tropical place. Where is it?

[@KenJee_ds]

haha thanks Kevin! That is all hawaii!

[@kevinkasp]

@@KenJee_dsThanks. I wasn’t sure. It looked Hawaii but I’ve never lived there so I couldn’t be sure.

[@mohammedazeem3303]

Hey Ken, Thanks a lot for the video. Of all the confusion which now seems to be a bit clear of what I need to learn, the challenge now is to manage time along with work & prioritize the learnings as couple of things are needed parallelly. Example: Planned on learning Advanced SQL | Python for DS & if I want to build projects it's a bit of challenge when working a full time job. I kind of know the answer that It's my life & I am the one to sort it but, just sharing as I am going off the track sometime by doing nothing.

[@KenJee_ds]

You can do it! I think just breaking the learning down into very small chunks is what made it manageable for me!

[@mohammedazeem3303]

@@KenJee_ds Thanks for the support. For sure, trying to prioritize things & will break them in chunks as you suggested. A lot to learn now mostly time management. There was a time when I had plenty of time to do anything. Time does move quickly when we get older :)

[@waynelast1685]

Data science is a practice, but there are some concepts you need to learn to just get started. Reminds me of that famous saying " How do you get to Carnegie Hall? Practice practice Practice."

[@KenJee_ds]

Yes!

[@Ibraheem_ElAnsari]

"Stay True to the process" .. You told me this last year which really stuck to my head and helped me get my recent job 🌻 Excited to be doing more projects and learn from/with u

[@lecryptojames]

Glad to always find you either on Ken or Tina's comment section haha CHEERS to 2022!

[@Ibraheem_ElAnsari]

@@lecryptojames Haha Thank you ❤ They mean a lot to me

[@KenJee_ds]

Congrats again on the job Ibraheem! Glad my advice helped!

[@anubhavgoyal3211]

Congratulations on getting the job Ibrahim, really happy for you:)

[@piyushzope10]

🙌🙌 congratulations 🎉🎊

[@musicgems1327]

thank you multiverse Ken...

[@KenJee_ds]

haha

[@Major_Data]

Watching this for a second time while working out because, well, I'm a huge geek and a fanboi.

[@KenJee_ds]

Hopefully it was useful Albert!!

[@arturkozun1258]

I don’t know why you put turquoise water clips in between your sentences but for some reason I like it so much!🤩

[@KenJee_ds]

I just got a drone at the time haha.

[@BenWilson24]

The hardest thing for me is knowing when I've learned enough to actually get a decent job where I'm not starting back from the bottom. I started my career as engineer doing predictive health monitoring for aircraft components and picked up some basic machine learning regressions with matlab's toolboxes. Then I got really heavy into statistics and got my six sigma black belt to help with R&D and process monitoring of additive manufacturing. On the side, I started using Python to build a few different helpful models, but the main one has been a motocross/supercross race result predictor that uses xgboost and the bradley-terry model; I post the results as a way to bring people to my side hustle's site to buy other products; the model does really well. With all that, I still find myself uncertain when looking around at jobs

[@KenJee_ds]

Honestly, from what it sounds like, you are plenty qualified for most mid level data science or senior level data analyst jobs!

[@KenJee_ds]

Feel free to shoot me an email at [e-mail]. Would be interested in interviewing you about your motorcross model for my podcast!

[@dannymohan2642]

Excellent Vid! Im gona follow this . Be back in 2022

[@KenJee_ds]

Haha I wonder what will change by then!

[@dannymohan2642]

@@KenJee_ds Me being a Data Scientist!!! :D

[@patrickjames6608]

Hi Ken, I have been lost not knowing what to do with my life. I have always be leaning towards coding and business but had difficulty combining both. Imagine the relieve I felt when I learnt about data science. I am just beginning my journey and am grand I have somewhere to seek guidance. Thank you

[@KenJee_ds]

Really excited to hear that you've found something that fits!

[@GYMSHIT]

I like this years ken! ;)

[@KenJee_ds]

Haha thank you!

[@danilorodriguez1638]

Excelente video Ken. Yo llevo 9 meses aprendiendo ciencia de datos y es una profesión increíble. Me siento muy feliz de haber aprendido sobre esto. El próximo año mi meta es tener un nivel B1 de ingles y usare tus videos para lograrlo. ¡Muchas gracias!

[@KenJee_ds]

Gracias por ver!

[@farishakim6759]

You earned new subscriber. Love your encouragement for people like me. I did installed Python last year but stuck on where to start cuz I dunno what specific purpose. Since I wanna do my PhD related to AI (predictive model), should I learn the whole coding of python or only focus related to AI coding?

[@KenJee_ds]

I think learning most of python would be relevant. I would start with kaggle.com. They have some intro courses that show you how to use python for data analysis! Also, thanks for subscribing!

[@johanbotha6653]

Thanks, Ken. I have started learning myself Data Science, fortunately, I have a programming/math background. and so far I have found the going reasonable all though it is an effort in time. My question is this is there a place for a part-time / freelance Data Scientist? I find the field extremely interesting but I doubt if that is all I want to do. Also, do you know if c++ is still used in Data Science? Kind regards

[@KenJee_ds]

Yes! Definitely room for freelance in this field. You do have to build up credibility first, so it can be a bit difficult to get your first client. Not much C++. mostly python and R

[@kahhuanyap6313]

Nice video! Pretty sure the lots focus at 4:35 is intended :p

[@KenJee_ds]

Lol wasn't intended but worked out well

[@jet8770]

currently 16 and will be breaking into this field with 0 knowledge of it all. all i have is my computer, a pencil, a notebook, and the internet to help me get started. love that people offer these services for free.

[@KenJee_ds]

Love that you are inspired to learn!!

[@ubaidadil5201]

Thank you very much Ken. You are the man! Dude. I have a quick question about my situation. I am an Economist and I want to learn Data Science to excel in the Economic research or Market research and related data analysis. I have learnt Statistics in depth and Maths in not a barrier as well. Would you suggest me a roadmap that I can work on. Right now I am not doing career job but I want to switch asap. Thanks again

[@victorpinasarnault9135]

Watched just right now, but worth it. I want to entry in data science because I like to solve problems driven by data. I like to see the variables of a problem in the reality and reach a solution; solve real-world problems. This is something that I couldn't do with enginnering; college was a really frustation. But there I heard of 'data science' for the very first time and learn stathistics. I trying to enter in this field in a self paced manner. Already study python documentation, trying pandas documentation. Anyway... I hope the year ahead will be better.

[@piyushzope10]

Best luck for your journey 🙌

[@KenJee_ds]

💪

[@lecryptojames]

Speaking of goals, it would be cool to see a TOP Goals video, etc.

[@KenJee_ds]

That would be fun to make! My goals or how to set goals for others?

[@lecryptojames]

@@KenJee_ds It can be a mix of both especially in regards to goal setting for data-driven professionals. Whichever you prefer.

[@anubhavgoyal3211]

@@KenJee_ds You can make a video on how to set goals for others and give your example in the video like how you set your goals

[@paulcampos6974]

Great video!!! I started learning Python 8 months ago and quickly became interested in DS, I have a background in Finace/Econ but never worked in finance (I have a construction business), my goal is to learn DS and work with investments. Having said all that im considering a boot camp and even a masters in DS, I would love to get your opinion on that. Thanks

[@KenJee_ds]

Awesome! Really depends what your goals are. If you're trying to land a ds job that is one thing, but if you're trying to apply data to your construction business that is another!

[@bigman7856]

I’m pretty much a blank canvas at this point and feel like I am on something of a time crunch. I’ve been able to learn pretty quickly with what I have researched, but I feel like I’m learning any other language in the wrong way. It’s one thing to know how to say “the dog walked to the park” in a random language. It’s another thing entirely to express my own thoughts in said language. I could learn the grammar and the words by reading, but I would only become able to read it at best. I need hands on projects to work on. Not only to help me learn but to create a portfolio.

[@KenJee_ds]

Agreed!

[@stc5072]

Hello Ken, thanks for your video! It’s really informative. I have some questions though. Will you consider R as a coding skill? I started learning coding through R, I learnt a bit of Python but I use it when necessary. So R becomes my ‘first language’ when comes to writing scripts. Would this drive me far if I continue doing data science-related work? Or should I start transitioning into using Python?

[@KenJee_ds]

Depending on what you want to do, R is totally fine! I generally just recommend python because there are slightly more job opportunities that are looking for python related skills. R is a good language with plenty of opportunities though

[@anubhavgoyal3211]

My goals this year is to complete the 365 data science course, I have been doing it since past couple of weeks, so I have gained the momentum, now just need to be consistent. Apart from that, I will try to do as many projects as I can and start freelancing in late 2022

[@KenJee_ds]

Awesome!

[@anubhavgoyal3211]

@@KenJee_ds 💪💪

[@kunalspeaksnerd]

Hey Ken, thanks for this video! I have a question though: how do I learn the math part? Are there any courses for that? I already have a background in coding

[@KenJee_ds]

Thanks for watching! There are plenty of courses on Udemy, 365 Data Science, and some resources freely available on KZbin. I highly recommend StatQuest!

[@mohammedazeem3303]

If it's related to ML mathematics you can refer Khan Academy Videos | ISLR book | Deep Learning Book by Ian Goodfellow ( only the math part for concepts) Hope this helps you.

[@BreakinDaHabit]

Thanks for that push Ken

[@KenJee_ds]

Thanks for watching!

[@mirharris]

Great Video! I stumbled upon your profile through Stefanovic > Luke Barousse to you. I have done a bachelor's in mining engineering and have been working as project manager for various IT relevant projects of mining provincial sector of Pakistan for more than 7 years now. Now I have picked up DS as my major for masters as I have been linked with IT and data for quite some time now. I have started learning Python and have gotten admitted in a master's program in DS starting Feb 2023. I am planning to follow your 66DaysofData challenge too to start my new journey. DS is quite overwhelming, but your videos make it sound intriguing and adventurous. I am switching my field from mining engineer to project manager to a data scientist now. Please share your insights on switching careers to DS and having any age limitations (if any) when it comes to getting rewarding projects and jobs relevant to DS.

[@KenJee_ds]

Amazing! Excited to have you as part of the 66daysofdata! No age limitations from what I've seen. I've had a few podcast guests transition in late into their 30s

[@TheSpikegrrrl]

I am learning how to build predictive models by watching videos and working alongside on another screen. It's really satisfying to see your code work. Especially when you start to experiment with your own parameters. Why do you think Python is more important to learn than R? Is it more versatile? I'm learning both, I'm just curious what you think.

[@KenJee_ds]

I wouldn't say more important, it is just more widely used. Python is more of a true programming language so it is slightly more versatile. If you are trying to build a model and have it used by another team, it will likely be easier for that software team to handle it if it is in python.