How I Got My First Data Science Internship (And How You Can Land One)

[@hrishikeshmanjunath8518]

You make things sound less overwhelming while also being real about putting in the work. Thank you for the positive energy brother!

[@KenJee_ds]

Glad to hear! Thanks for the kind words Hrishikesh!

[@mymThePlayMatE]

I don't usually comment on videos but I just want to thank you for making these videos. I really like the down to earth style with lots of practical advice. Your videos have helped me a lot and I am definitely rooting for your success.

[@KenJee_ds]

Thanks for watching! I am glad the videos have been useful to you. Comments like these really inspire me to keep producing videos!

[@NintendoCaprisunish]

Thank you for these DS internship vids. I'm preparing for an interview for a DS position rn and you're helping me a lot.

[@KenJee_ds]

Glad to hear Jeff! Good luck on the interview!

[@agustinzago9180]

tell us how it went! GL Jeff

[@shingosan3744]

Great video. It really shows your passion for Data Science.

[@sankalp2610]

Hey Ken! Big fan. I just landed my first internship and would like to really thank you for your videos.

[@KenJee_ds]

Thanks! Glad they could help you out!

[@nameethapatel5131]

Hi!! I was actually struggling on an assignment for hours together and finally encountered your video..it solved my issues within minutes..I immediately subscribed and ended up on this one..Keep doing more videos..You rock!!

[@KenJee_ds]

Thank you for watching! I am glad my video was helpful to you!

[@siddharthakumarsingh7145]

You are doing a great work Ken. Thanks for the video

[@KenJee_ds]

Thanks for watching!!

[@importdata95]

Another great detailed video! Thanks ken. I have a request for you. Could you do a project where you predict the winner of 2018 FIFA world cup? I would like to see how you gather data and which approch you take to work on the project!

[@KenJee_ds]

I can look into it! The data projects usually take a quite a while, so It will probably be a few months coming. I don't have a lot of experience with soccer at all, so I will have to do some serious homework haha

[@importdata95]

@@KenJee_ds Maybe i could help you along the way? It's also something I would like to work on!

[@KenJee_ds]

@@importdata95 Sure! Any idea where the data would be located?

[@importdata95]

@@KenJee_ds i think we can use FIFA ranking on the FIFA website and probably use all the international matches results?

[@sog2531]

You my Rabi. Thanx!!

[@KenJee_ds]

Thanks for watching!

[@WeirdAwkwardWoman]

Thanks for the information

[@KenJee_ds]

Thanks for watching!

[@salikmalik7631]

Awesome video Ken, which regression project is best to do for resume/portfolio?

[@piyushzope10]

A helpful video for me. It will help me to bring positive and necessary changes in my journey of learning data science. My learning- Explaining the WHY is really important which shows the purpose of doing something. Company-specific preparation is important while sending a resume and cover letter. Ken, correct me if I am wrong but do you think you worked as a consultant in the past which is helping you to be a good communicator or explainer?

[@KenJee_ds]

I think the consulting really did help me in that aspect. I don't think everyone needs to go down that route, but it can be helpful for people to think about what skills from their past can add value to their work in data science!

[@piyushzope10]

@@KenJee_ds Yes definitely... We must look back to our past work because it will definitely add some value in future. So, Whatever happens, happens for the best🙌

[@ahmedmansour9991]

Great, Keep going.

[@KenJee_ds]

Thanks!

[@LapNguyen-bx1fe]

Thank you for sharing man

[@Gilgamesh827]

Thanks for the video! At 9:12 you mention a cheat sheet. Do you recommend any in particular? I've tried looking but quality tends to vary a lot.

[@KenJee_ds]

I would recommend going through as many different ones as you can find! This one is decent though: www.dezyre.com/article/100-data-science-interview-questions-and-answers-general-for-2018/184

[@Gilgamesh827]

@@KenJee_ds Thanks for the tip! You're a great help.

[@kailandec.6722]

This was so helpful. My background is in biology and cognitive science/psychology and throughout undergrad I've been using Python and R to run a variety of different analyses for hypotheses, research questions and data insights. Most of these don't have a ML component, I'm learning that now. could these projects still be relevant for landing a data science internship?

[@KenJee_ds]

They absolutely could! I always recommend that people combine their pre-existing skills with data science. That makes it appear to be a more natural transition to the field rather than a jump. People who are hiring data scientists generally like logical steps haha. I hope this helps!

[@kailandec.6722]

@@KenJee_ds It does! Thanks!

[@TheMightyOprah]

Hey Ken! I have a question. For internship applications, how complex do the portfolio projects on my resume need to be? For example, there are some datasets (like Kaggle's Titanic) in which I could create a pretty accurate regression model in just a few lines of code, but that obviously doesn't seem like enough to include in a portfolio. Further, if I'm taking an online machine learning course, and there are 'projects' given but solutions to those projects given as well, I'm assuming that those projects wouldn't be wise to include in a portfolio?

[@KenJee_ds]

The bar for internships is definitely lower, but I would try to have at least 1-2 full projects in there that you did on your own or for a class. It is totally fine to have that other stuff in there as well, but I would try to organize it so your ds projects are pinned to the top. I hope this helps!

[@shubhamkurlekarwrites3478]

I am a mechanical engineer..of no prior knowledge of DS... Doing project as you suggested from kaggle and making it unique..lets see🤞🤞

[@KenJee_ds]

Would love to see it when you finish!

[@anikethdasroy9417]

Thanks for the video Ken! Do you apply through LinkedIn or prefer applying to the companies directly?

[@KenJee_ds]

I think either is fine. Honestly, the best approach for actually getting a job is to try to get someone at the company to refer you. A company employee or recruiter referral will greatly increase your chances compared to a normal application.

[@gohulnathv278]

@@KenJee_ds How can I get a reference?

[@skyblue4230]

Thanks for sharing these awesome tips! I was wondering what kind of working positions would be helpful to have when applying to a data science internship. I'm hoping to go to a university that has a co-op program that begins first year but I'm most likely not going to get a data science position that early. Do you have any recommendations for what kind of positions I should look for that would be helpful for ending up in data science?

[@KenJee_ds]

Research is really good! They won't be expecting too much from you. A strong project portfolio will also help tremendously!

[@krishnar6717]

My biggest problem is communication. I'm very bad at communicating 😔

[@KenJee_ds]

That is a skill you can practice as well!

[@krishnar6717]

@@KenJee_ds Thanks for the reply. Yes I'm practicing 😀

[@henriqueguarnieri9639]

nice video!!!

[@KenJee_ds]

Thanks!

[@jameshizon4861]

I have a hard dilemma, where I graduated while having a data analyst internship but wished I did a data scientist internship on top of it during college. I am guessing that my best route should be to land a data analyst role and then work my way up to a data scientist position as I gain more domain and real world experience working with data/working on more projects added on my portfolio?

[@KenJee_ds]

I think that is a good approach to take! I think it is still fine to apply for some data science jobs though. Who knows what could happen!

[@bianchialex]

When you bring up projects I understand the concept of what a project is but how do I do a project as an undergrad. Should I lookup some project or think more creatively and do something unique?

[@KenJee_ds]

I recommend looking up a project. The best starting place is kaggle.com! I recommend checking out this video for more info on data science projects: kzbin.info/www/bejne/eHOnmpSaeJ11rKc&ab_channel=KenJee . I have a few examples of projects there

[@akram-sz7qj]

is it accessible for foreigners as the same for Americans?

[@KenJee_ds]

It is, but it will likely be more difficult!

[@alisterdcruz1667]

What were your skills and education when you applied for the first internship?

[@KenJee_ds]

I had a bachelors in economics

[@kathrynmiller8651]

Hello, I am in my junior year of a data science degree but I have not had any projects. The internship application period has just started but the only experience I have to show is what I have done for school work. Some queries, some R, tableau and excel. Should I include these to showcase my skills even if they aren't necessarily projects?

[@KenJee_ds]

Yep, you can put these in your github. I would still try to knock out a project or two. There are plenty that you could do in a weekend

[@bolasamer8898]

do companies in the US or Europe hire remote data scientists or analysts from outside the country to work remotely or that role is exclusive for local people and must be in the workplace?

[@KenJee_ds]

Depends on the company! It is more common for US companies to hire contracting firms out of other countries over individuals though.

[@bolasamer8898]

@@KenJee_ds thanks a lot ken , appreciate your help

[@kaustavmallick8505]

Hey Ken ,can you be elaborate about how and where from you choose the projects? And also how do go about them? Do you learn on the go?

[@KenJee_ds]

Hi - Thanks for watching the video! I go into a lot more depth about how to choose the projects in this video: kzbin.info/www/bejne/r6bOlYuMbrGFapo For the most part, I recommend learning on the go. If this isn't your style, I would recommend trying to understand one algorithm at a time and doing a few examples where you apply it on real data. I hope this helps!

[@overratedisoverrated930]

I truly feel ashamed while typing this text but what do you literally mean saying project? I mean for instance I think an original idea and then collect relatively data from sources then create a model for prediction. Or I just choose a Kaggle Project and try to accomplish the aim as good as I can. Which one does count for a resume? THANKS FOR SHARING YOUR EXPERIENCE AND THOUGHTS BTW ❤️ greetings from Turkey

[@KenJee_ds]

Don't feel ashamed, this is a totally fine question! I think in the early stages, a project could be as simple as doing your best with a kaggle data set. As you do more of these and get familiar with the different techniques, you should experiment with new data and try to find unique insights. For an internship, I think either type (simple kaggle or more advanced project where you collect your own data) would be acceptable for a resume or a portfolio. For a true data science job (post graduation) you would want to have 4-5 of the second type. I hope this helps!

[@overratedisoverrated930]

@@KenJee_ds Ken, I cannot explain my feelings to make you understand how much I appreciate you. I thank you so much.

[@KenJee_ds]

@@overratedisoverrated930 Always happy to help!

[@tanyk333]

Hi Ken, I am taking online course on data scientist currently, with a institute known as Simplilearn. Not yet complete the whole course, but I am having preliminary exposure on data science using Python and R. Thinking to apply a data science internship to accumulate my working experience. Do you think it is a good time to apply for internship?

[@KenJee_ds]

Hi Tan - Thanks for watching! I think you should start applying as soon as you can!

[@tanyk333]

@@KenJee_ds Thank you Ken!

[@LapNguyen-bx1fe]

Can you make a vid of your resume so that we can learn from that

[@KenJee_ds]

For sure! It may take me a few weeks, but I will get one out! You can also see my resume on my website www.kennethjee.com for reference. I wouldn't exactly recommend the style I have done for everyone, but my video will be on general best practices.

[@thesoul2086]

Sir please suggest best online course for data science.

[@rasulguidry3692]

When are the internship cycles?

[@KenJee_ds]

Admittedly, I am a bit out of touch with this. From what I'm told, the internship cycle is actually pretty year round. For the bigger companies, they often start early spring and could also have a winter option in some cases. I hope this helps!

[@rasulguidry3692]

Ken Jee okay cool, and for the winter option, you’re saying the application process starts in winter or that’s when the actual internship starts? Thanks A Lot Ken !

[@KenJee_ds]

@@rasulguidry3692 It is when the actual internship starts. You would probably have to apply 2-3 months before if I had to guess!

[@skrishnankrishnan102]

Hello sir Can i apply for internship at 2nd year of my college in data science

[@KenJee_ds]

Yes

[@skrishnankrishnan102]

@@KenJee_ds sir actually i am in 3rd year of my diploma in artificial intelligence and machine learning Should i take degree in computer science or ai and ml

[@stinhuffine4422]

Hi! What internship salary someone like you could ask for? I don't want to be fooled by an employer and I don't want to ask too much

[@KenJee_ds]

Great question! It really depends on the company and the geographic region in which you are working. I would try to find the salary of a data scientist at the company you are applying to. This should be easier than internship salary. You can look on glassdoor.com for this. If you are a grad student I would take ~80% of that and convert it to an hourly rate. If you are a undergrad I would take ~65% of that and convert it to an hourly rate. I hope that this helps!

[@devendraadhikari6441]

Hey Ken!! Thanks for this great video. I am in a dilemma. I am doing my undergrads (2nd year) on Computer Science and I am really interested in data Science. I have started my journey towards it and almost there to do my own projects (Started doing projects on Kaggle). I have work placement on 3rd year. By then I hope to have some projects done on my own. But I doubt companies hire an undergrad for data science role. I have heard that they prefer master's student. What's your say in this? I don't want to change my career path now.

[@KenJee_ds]

Thanks for watching the video! I think you are on one of the many correct paths to becoming a data scientist. While you could go down the masters route, I think you would get to the same destination (data scientist), by going down the software engineering or data analyst routes. If you do that you 1. don't pay for grad school (you actually get paid!) and 2. get there in about the same amount of time (2 years). I think there are plenty of software engineering roles where you get to use data science tools (same with data analyst roles), and you would be doing similar work, it would just be with a different title. I hope this helps!

[@devendraadhikari6441]

@@KenJee_ds thanks ken. I really appreciate your help. Will the projects that I do for data science be enough to get me the role of data analyst?

[@rojitrojit6576]

i have mediocre level knowledge on a couple of programming languages. How would i start working on any of the projects that you mentioned in the video?

[@KenJee_ds]

I would go on kaggle.com and look at a few of the kernels. You can see how many other people have done similar projects. You can also check out a few of my other videos about projects! Hope this helps!