Thanks for watching everyone! Sorry for the bit of audio echo, getting used to the acoustics of the new office! Learn more about the Z by HP Data Science Stack Manager Here: zdocs.datascience.hp.com/
What I recommend to people is to go up to local businesses around you and become an "unpaid intern" of sorts developing projects for them. You set your own schedule and etc (just as you would with a personal project). At the end of the experience you get to say you worked with someone (so you get work experience+ LinkedIn optimization). It also exposes you to a ton of perpectives in the real world and the projects can be fitted to yout needs.
@@shraddhashrivastava2480 here you're inventing your job not being an unpaid intern for someone else. For example you go to a corner grocery store and tell them you'll do data analysis for them. Tell them how this can only help them (it's free so there's no risk to them). Test different policies and see if you can have an impact.
Worth a try, but be prepared to explain how you would protect the privacy of their data. I can't imagine many organizations would just hand over their data without serious concerns: in the US, HIPAA, FERPA, etc.
@@k311ydcart3r Great point. These are specifically regarding corner stores and local businesses who are less likely to worry about this. Please look at my comment to someone else on this thread. However, learning to protect privacy through anonymization is a great learning
So last week I found out I had notifications disabled when someone mentioned me on LinkedIn! Then the the other day I found out my Twitter DMs are locked? And literally just as I’m about to tuck in for the night I found out there’s a bunch of vid mentions I missed…including this one 🤦♂️ Ahhh my bad, hope you’re doing AMAZING Ken!!! Love ya work!!!
Solid advice. Especially investing in open source software. You can learn top tier software dev skills, gain excellent connections and add some big name contributions to your experience. The few times I've seen "contributor to PyTorch/scikit-learn/pandas" on a resume, I've been quick to insist on an interview.
This I needed! I've got projects including your RUclips dataset, but only one or two have stood out with a few recruiters, so now I'm on the hunt to really stand out. Thank you again for this 🙏
Awesome Video Ken. Thanks for the inspiration. I'm following you for quite a while now and learned some great skills through your videos. :) Have a nice day!
I recommend data scientists go after modeling like linear regression models in sports. Its really fun and sports tends to be more fun than the titanic lol
Great content as always! I hope to help more people one day by having a wider reach like you, so your content motivates me a lot. Can't wait for your future content!
Showcase your skills with impactful data science projects like predictive analytics for business trends or natural language processing for sentiment analysis. With Smythos, you can access resources to enhance these projects and make your portfolio stand out in the competitive data science field.
Hi. I am still a beginner in data science and right now, I feel overwhelmed with the variety of data that I can use for self-studying. To be honest, I don't know where to start if I am going to use data sets about finance or others. Should I try the ones listed in the video? Thanks
Thanks! Novelty is usually related to new data or new insights that haven't been generated before. Creativity is using the same data in a different way or telling a new story with it (giving it a new spin). I hope this makes sense!
Hello Ken, first thanks for the video! I have some question: I’m starting to learn about data science and I realize how many thing need to learn. By creating projects it’s all about collecting data, clean data, structured data, test the data and improve? Also, having some projects and knowledge can help get an apprenticeship from different companies.
Give them a new spin! I saw someone treat the titanic dataset like they were trying to sell ship insurance to a new boat. Really unique spin on a classic dataset
Thanks Ken for another great vid , I am still in need of the advice.. as a huge sports fan and finding out that data science can be used in sport as sport analytics has been a great delight. .. please what advice can you give a beginner in data science that wishes to go on the sports analytics path ???
Hey ken I love your videos What is the advice you will give to someone with a non tech background like bSc accounting Like after completing data science online course is there need for a masters in data science or masters in computer science to make my scope broader
I don't think a masters is completely necessary. It is very possible to build the skills & projects and land a data analyst job without an advanced degree. In my opinion it is a better idea to gain experience and get paid as an analyst for a few years and then transition to a data scientist role
That intro was epic 😂 Great tips for those looking to break into data! Following Ken's tips in 2020 of learning by doing through projects is 100% of the reason I was able to land a job in the field! If you're trying to obtain your first data job my advice is projects project projects!
Honestly, I don't think a masters is that important. If you have a good project portfolio that will take you the furthest. A strong portfolio with a micro masters will be fine
Sir now I am pursuing integrated mtech 5 years course specialization in data science now I completed 3rd can you please say how to and how much I need to prepare to get decent job as fresher in data science sector because there are vast number of topics I am very confused like upto how many concepts I need to cover as a fresher to get decent job in data science sector
You should have 1) A strong portfolio 2) Coding ability - Leetcode, interviewquery, or stratascratch are good places to pick this up 3) Math understanding - Basic conceptual understanding of the main algorithms that are used 4) Business intuition - Understanding of evaluation metrics and use cases for your models
Do people go through a phase while learning Data Science that no i can't do it at all? :( Going through the phase when i have started working on my projects.:(
![I.N "HALLUCINATION" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/n5B5q1Hwt_U/mqdefault.jpg)
Thanks for watching everyone! Sorry for the bit of audio echo, getting used to the acoustics of the new office! Learn more about the Z by HP Data Science Stack Manager Here: zdocs.datascience.hp.com/
I have a request ken, can you make a video on test driven development in Data Science or maybe the normal testing?
What I recommend to people is to go up to local businesses around you and become an "unpaid intern" of sorts developing projects for them. You set your own schedule and etc (just as you would with a personal project). At the end of the experience you get to say you worked with someone (so you get work experience+ LinkedIn optimization). It also exposes you to a ton of perpectives in the real world and the projects can be fitted to yout needs.
I Applied many unpaid internships but no response. How I get?
@@shraddhashrivastava2480 here you're inventing your job not being an unpaid intern for someone else. For example you go to a corner grocery store and tell them you'll do data analysis for them. Tell them how this can only help them (it's free so there's no risk to them). Test different policies and see if you can have an impact.
This is great advice!
Worth a try, but be prepared to explain how you would protect the privacy of their data. I can't imagine many organizations would just hand over their data without serious concerns: in the US, HIPAA, FERPA, etc.
@@k311ydcart3r Great point. These are specifically regarding corner stores and local businesses who are less likely to worry about this. Please look at my comment to someone else on this thread. However, learning to protect privacy through anonymization is a great learning
So last week I found out I had notifications disabled when someone mentioned me on LinkedIn! Then the the other day I found out my Twitter DMs are locked? And literally just as I’m about to tuck in for the night I found out there’s a bunch of vid mentions I missed…including this one 🤦♂️ Ahhh my bad, hope you’re doing AMAZING Ken!!! Love ya work!!!
All good my dude! You're an inspiration!
Such great advice: Different is better than better!!
3:50 😂🤣 Next video: "Ken Jee analyzes his crime data"
Next video: how i can help u land a data science internship/job.
Lol, might be a long video
Solid advice. Especially investing in open source software. You can learn top tier software dev skills, gain excellent connections and add some big name contributions to your experience. The few times I've seen "contributor to PyTorch/scikit-learn/pandas" on a resume, I've been quick to insist on an interview.
So true! Glad to hear about your experience seeing this on people's resumes
Also, would love to have you on my podcast if you're interested!
@@KenJee_ds wow yea that would be extremely cool. Just shot you an email. It will happen!
This I needed! I've got projects including your RUclips dataset, but only one or two have stood out with a few recruiters, so now I'm on the hunt to really stand out. Thank you again for this 🙏
Thanks for watching Assad!
Who could have articulated it any better ? It is clear and transparent glass now,in my mind.Thank you #respect
Thank you! Really means a lot to hear that it was clearly communicated!
I just found you, I have seen a couple videos of yours and I am amazed with your content. Thanks for sharing!
Thank you Marcela!
Thanks Ken, for sharing the resources and datasets.
Thanks for watching Piyush!
Thanks Ken. I’m working on a project right now so this couldn’t have come at a better time.
Amazing!
Awesome Video Ken. Thanks for the inspiration. I'm following you for quite a while now and learned some great skills through your videos. :) Have a nice day!
Thanks for watching!
Thank you very much. Just the ispiration that I needed 😃
Thanks for watching!
Like always,info that must be taken in stride 🙌❤️
True!
I recommend data scientists go after modeling like linear regression models in sports. Its really fun and sports tends to be more fun than the titanic lol
This is great.
Thank you for sharing 🙌.
Thanks for watching!
Thank you very much for the video!!!
Thanks for watching!
Excellent, thanks.
Great content as always! I hope to help more people one day by having a wider reach like you, so your content motivates me a lot. Can't wait for your future content!
Thanks Felix! I checked out your channel and it is great. Keep up the good work!
@@KenJee_ds Thanks Ken, that means a lot to me!
Showcase your skills with impactful data science projects like predictive analytics for business trends or natural language processing for sentiment analysis. With Smythos, you can access resources to enhance these projects and make your portfolio stand out in the competitive data science field.
I'm going to build my first python project before the end of this year, I might save these more advanced projects for next year haha (:
Thanks!!! Great tips!!! 🍻🍻🍻
Thanks for watching!
Right Time!Thnx
💪
The opener killed me
Lol thanks
I got DALL-E access this morning!
Amazing!! I'm jealous
Hi. I am still a beginner in data science and right now, I feel overwhelmed with the variety of data that I can use for self-studying. To be honest, I don't know where to start if I am going to use data sets about finance or others. Should I try the ones listed in the video? Thanks
I recommend the titanic dataset. I have a video on that on my channel!
@@KenJee_ds wow dude boring. Try sports history or linear regression models in the playoffs. Dude what's with the boring stuff lol.
I'm migrating from healthcare to Data analysis so I would like to make a portfolio using healthcare-related data. Any suggestion?
Try air quality analysis... If that's related
Plenty of good health related datasets on kaggle. that would be my first rec!
Great video! Out of curiosity, how do you differentiate between novelty and creativity?
Thanks! Novelty is usually related to new data or new insights that haven't been generated before. Creativity is using the same data in a different way or telling a new story with it (giving it a new spin). I hope this makes sense!
Thanks for the great video!
Could you make a video about Sports Analytics/Football Analytics Portfolio!
Good idea!
Hello Ken, first thanks for the video!
I have some question: I’m starting to learn about data science and I realize how many thing need to learn. By creating projects it’s all about collecting data, clean data, structured data, test the data and improve?
Also, having some projects and knowledge can help get an apprenticeship from different companies.
Thanks for watching! Yes, projects are a way to learn all the steps relevant for data science!
what a gift you are!
Soooo… any ways to make common projects stand out? My portfolio has one great one and one common one and I’m on the job hunt. TYIA!
Give them a new spin! I saw someone treat the titanic dataset like they were trying to sell ship insurance to a new boat. Really unique spin on a classic dataset
Thanks Ken for another great vid , I am still in need of the advice.. as a huge sports fan and finding out that data science can be used in sport as sport analytics has been a great delight. .. please what advice can you give a beginner in data science that wishes to go on the sports analytics path ???
Thanks for watching Lawalson! I made a video on this a while ago, the advice should still hold! ruclips.net/video/SLC5sPZSLY4/видео.html
@@KenJee_ds thanks ... I will check it out
Can I do a project about the ocean data science project
Nice intro
Great! Thank you for the insight. Just wanted to know will the data issues by US govt be any help to me if I am residing outside US?
It should be fine even if you're outside the US
Hey ken I love your videos
What is the advice you will give to someone with a non tech background like bSc accounting
Like after completing data science online course is there need for a masters in data science or masters in computer science to make my scope broader
I don't think a masters is completely necessary. It is very possible to build the skills & projects and land a data analyst job without an advanced degree. In my opinion it is a better idea to gain experience and get paid as an analyst for a few years and then transition to a data scientist role
That intro was epic 😂
Great tips for those looking to break into data!
Following Ken's tips in 2020 of learning by doing through projects is 100% of the reason I was able to land a job in the field!
If you're trying to obtain your first data job my advice is projects project projects!
Thanks mario!
Hey Ken. Sent you an email introducing you to the Beyond Coding podcast. Did you get it?
Must have gotten buried in the pile somewhere. I will look for it today. Thank you!
@@KenJee_ds I will push it to the top of your inbox
Hey ken Jee
Instead of masters in data science can I use an alternative and do a micro masters ??
Honestly, I don't think a masters is that important. If you have a good project portfolio that will take you the furthest. A strong portfolio with a micro masters will be fine
Sir now I am pursuing integrated mtech 5 years course specialization in data science now I completed 3rd can you please say how to and how much I need to prepare to get decent job as fresher in data science sector because there are vast number of topics I am very confused like upto how many concepts I need to cover as a fresher to get decent job in data science sector
You should have
1) A strong portfolio
2) Coding ability - Leetcode, interviewquery, or stratascratch are good places to pick this up
3) Math understanding - Basic conceptual understanding of the main algorithms that are used
4) Business intuition - Understanding of evaluation metrics and use cases for your models
Hey ken jee
Some with an accounting degree wishing to transition to data science can I do a postgraduate diploma in Cs will it count as a masters ?
Probably won't count as a masters, but it would be helpful!
Should you post your projects in github?
Yes!
Do people go through a phase while learning Data Science that no i can't do it at all? :( Going through the phase when i have started working on my projects.:(
Yes, it is very common! That is why I recommend going through basic projects on kaggle. I have some video walk throughs as well on my channel
Bro no offense but you picked mind numbingly boring data picks. Like dude do you want people to not get in the trade hahahaha
Advert, sponsorship, advert, sponsorship, advert. Good luck.