5 Impactful Data Science Projects For Your Portfolio

#datascience #KenJee #machinelearning
I walk through 5 high-impact data science projects that you can add to your data science portfolio today. A strong portfolio helps you to differentiate from other candidates and can play a major role in you landing a data science job.

Project 1 - NASA Space Data

Project 2 - Podcast Data

Project 3 - Public Good Project

Project 4 - Cutting Edge Technology
- @NicholasRenotte

Project 5 - Open Source Contribution

0:00 Intro
0:50 Project 1 (NASA)
1:35 Project 2 (Content)
2:52 Project 3 (Real World)
4:40 Project 4 (Cutting Edge)
5:50 Project 5 (Open Source)

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[ChocolateMilkCultLeader]

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.

[AssadJawaid]

This I needed! I've got projects including your YouTube 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 🙏

[marcelatorres]

I just found you, I have seen a couple videos of yours and I am amazed with your content. Thanks for sharing!

[nightline]

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!

[piyushzope]

Thanks Ken, for sharing the resources and datasets.

[ayxxnshxrif]

Like always, info that must be taken in stride 🙌❤️

[Mutual_Information]

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.

[Ben-skey]

Thanks Ken. I’m working on a project right now so this couldn’t have come at a better time.

[evoguru]

Who could have articulated it any better ? It is clear and transparent glass now, in my mind.Thank you #respect

[isanttor]

Thank you very much. Just the ispiration that I needed 😃

[DanielTobi]

This is great.
Thank you for sharing 🙌.

[NicholasRenotte]

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!!!

[felixc.programs]

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!

[KingdomCretive]

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

[LukeBarousse]

Such great advice: Different is better than better!!

3:50 😂🤣 Next video: "Ken Jee analyzes his crime data"

[lawalsontomiwa]

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 ???

[Sugurous]

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.

[HaCkeMatician]

Thanks for the great video!
Could you make a video about Sports Analytics/Football Analytics Portfolio!

[tushark]

Great video! Out of curiosity, how do you differentiate between novelty and creativity?

[sauravsahay]

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?