How I Learned Data Science

[@KenJee_ds]

Hey Everyone - Thanks for watching the video! If you have any questions, please leave them below. I also can't stress enough how important projects are for learning data science. I highly recommend watching the other videos that I have pinned at the end of this one to learn more about them! Some learning Resources: My Favorite Free Resources for Learning Data Science: kzbin.info/www/bejne/f6GYYZaOq9WKj5Y&ab_channel=KenJee 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY

[@azyt]

Ken Jee hi ken any insight on learning software or front end development? Is data science similar in any way ?

[@nickking6371]

Hey ken i paid for zybooks this semester and then covid. Is there something like zybooks i can use? Those had the lrojects built in. My end goal is machine learning and building an open source AI for humanity.

[@Johnp-ms9nm]

Can you make a video that goes into more detail about sports analytics

[@muneebali9184]

Dude, You're amazing. Whenever I sidetrack myself from learning Data Science. Your videos really help me there in keeping me interested and intact to proceed to learn more about it. Love your content.

[@KenJee_ds]

Thanks for watching and for the kind words! I am glad the videos have been helpful to you. Comments like these make me really excited to produce more content!

[@Kevin-cy2dr]

You guys i.e data science youtubers are severly underrated.

[@KenJee_ds]

Thank you Kevin!! I hope you are enjoying the videos!

[@mashooraraf344]

Mr. Kavin that's because not many people knows about this field. It's a very new field in IT. And supplies are also very low in number. Unless I hope he would be well rated.

[@anubhavgoyal3211]

They are getting well deserved appreciation now :)

[@anythinglately]

been struggling to get into DS on and off 2 years after i finished my masters in management science. am even embarrassed and maybe a bit frustrated with myself a bit but u have given me the morale to get back on it, been binge watching all your videos, your route seems pretty legit and straight forward..much gratitude man . will watch the ads just for u

[@KenJee_ds]

Thanks for watching and for the kind words! It can definitely be a struggle, but I think that if you are consistent and don't get too down on yourself you will definitely succeed!

[@duncankganderson]

Hey Ken - I've been following your channel for a couple weeks now and really appreciate the time you put into making these videos. I graduated college a couple years ago with a degree in journalism, and I find the integration of storytelling with data science very compelling. Compelling enough for me to consider going back to school to get another degree in computer science, as I would really like to combine the power of data science and journalism. Thanks so much and keep it up! Duncan - Montréal

[@KenJee_ds]

Very cool! That sounds like an awesome career pivot that leverages your previous skills. Would love to hear how your continued education goes!

[@LukeBarousse]

Heck yeah, this was awesome! Thanks for sharing your journey, Ken!

[@KenJee_ds]

Thanks for watching Luke!!

[@RandomInternetDude01]

Hey Ken I just wanted to say thank you for creating this channel and the content on it...I always had an interest in Data Science but felt like it had such a high barrier to entry for me I never really thought much of doing it..After graduating with my Bachelors in CS last year however I'll be entering grad school in a week for Data Science specifically with an intended goal to get into Sports Analytics for Baseball...and having only discovered your channel a week ago I've been binging a lot of your videos on Data Science and Sports Analytics and am really thankful for all the great information you provide in all of the videos!...I've been following quite a few CS/Software KZbin channels the past few years but always wished i could find a Data Science/Sports Analytics channel so stumbling upon your channel was awesome to have happen!

[@KenJee_ds]

Thanks for watching my content! I'm planning to do more sports analytics focused videos later in the year. Stay tuned for those!!

[@natalietreffry947]

Thank you for sharing all of this! We've had some pretty similar experiences up to about the consulting part, which I started in this fall. Definitely going to check out more of your videos!!

[@KenJee_ds]

Awesome stuff Natalie! Thanks for watching my videos!!

[@vaibhavnaudiyal2354]

Great content! I am in final year of Computer Science undergrad. I am focusing on becoming a Data Scientist and your video on essential list of projects for resume gave me a clear idea of where I should be heading. Getting insights from a Data Scientist helps a lot in getting a clear sense of direction.

[@KenJee_ds]

Thanks for watching! I am glad the video helped!

[@alazareva]

Great video, Ken! I also did two MS degrees, one in CS, and am currently working as a data scientist. One piece of advice I have for people who are considering graduate school but are worried about the cost is to look for schools that offer TA/RA opportunities. Depending on the school, these positions can fully cover tuition and pay an additional stipend for living expenses.

[@KenJee_ds]

Great advice! I wish I had taken those opportunities when I was in school haha

[@piyushzope10]

Yes this true path is different for everyone and in my case you are helping me to build my path very well....😀

[@KenJee_ds]

Happy I could help you on your path Piyush!

[@simplypqz]

Always watching this charming man without speeding up. Totally intrigued.

[@KenJee_ds]

Thanks Lucas! Admittedly I speed myself up when I watch my videos 😂

[@techwithramsey]

Nice video. I liked the part about being self-discipline in learning data science and building a portfolio. I going back to school to get my M.S. in business analytics while working full-time. Thankfully, my job helps cover some of the cost.

[@KenJee_ds]

Thanks for watching! Good luck in your degree. Feel free to leave any specific questions you may have along the way!

[@nebisimsek2837]

Man, all these just remind me myself, I tackled bunch of majors even filmmaking, then end up doing Economics. Now in my 25, I became data science freak. It's sad how those years were unproductive but I think everybody has a unique career and that brings us unique opportunities.

[@KenJee_ds]

I don't think they were wasted! I did all those different things, but that process taught me what I didn't like and what I didn't want to do. Without out those experiences I would't have as good an understanding of myself as I do today!

[@nebisimsek2837]

@@KenJee_ds I cannot agree more! Thanks a lot for reminding me that!

[@62294838]

A decent Economics degree is hugely related to data science. What are u talking about ?

[@joshtower4425]

Hi Ken, great video. I recently finished my Master’s in Applied Analytics, but the Data Science learning journey is never over. I really appreciate your insight and perspective on the field of Data Science and Sports Analytics. Keep up the great work!

[@KenJee_ds]

Thanks for watching! I appreciate the kind words. Good luck on your journey!

[@mwredfern]

The one video of yours that a few are watching and everyone should watch.

[@KenJee_ds]

Thanks for watching Michael!!

[@lacasadeacero]

I should add a lesson: no matters your credentials, your work, your position, your company, or your experience, all makes code as they want so dont worry about doing code this way or that. Only focus on keep moving. Learning is forever.

[@KenJee_ds]

I agree!

[@mikarshdataanalyst4086]

Thanks my data science professor for teaching me so much always every single day😁

[@KenJee_ds]

😆

[@piyushzope10]

Can you please make a video or share little bit about how do you used the data science for your golf game?

[@KenJee_ds]

I will do my best! I have talked about that in a few podcasts I have done though!

[@piyushzope10]

@@KenJee_ds Okay I will check it out...

[@mlungisidlamini3003]

Thanks for this video and I must confess, I can relate to your story as an upcoming data scientist.

[@KenJee_ds]

Glad to hear that it is relatable! Thanks for watching!

[@luisotre]

I just found your channel and I'm planning on watching one of your videos every single day starting today. Great content -- thankful that it's useful and informative instead of mindlessly entertaining like so much of youtube.

[@KenJee_ds]

I really appreciate it! Thank you for the support. Hopefully I can start adding a bit more entertainment into these as well. Best of both worlds?

[@katlehoramonotsi3454]

Good initiative Ken. I can't wait to start

[@KenJee_ds]

It should be fun!

[@modeezy2341]

Hey Ken thanks for your videos. I am currently finishing up my Bachelors in CS and plan to get my MS in Data Analytics. I’ve been learning Python on my own time and I’ve build several text-based games. My question is, what should I learn after having a good grasp on Python to help me expand my knowledge in the Data Science field? What tools or frameworks should I use when building my Data Science portfolio projects?

[@KenJee_ds]

I would learn some SQL as well. I think the kaggle.com micro courses will give you a good framework for understanding visualization and some of the main algorithms used. I would also recommend experimenting with Tableau and Power BI

[@piyushzope10]

Which one do you prefer in case of self learning or learning from someone else?

[@KenJee_ds]

I prefer a mix. After I finished school, I have been doing more self learning though.

[@piyushzope10]

@@KenJee_ds okay that sounds good 😀

[@avikantsrivastava3489]

Love your videos!

[@KenJee_ds]

Thanks Avikant!

[@JoYiSgUiTaR]

Thanks for your videos, they def help a lot of ppl including me

[@KenJee_ds]

I love to hear this! Glad they have been helpful!

[@jadelynwatling4221]

Thank you so much for sharing this ken! Im really loving your videos.

[@KenJee_ds]

Thanks for watching! I am glad you like them!

[@dheerajsomuri1142]

Great content in your videos. I’m trying to get into Data science and I started learning python. Let’s see how it goes. I appreciate your work on providing the info on Data Science.

[@KenJee_ds]

Thanks for the kind words! Good luck on your data science journey!

[@sawyerbenson7816]

Hey Ken, I'm currently a grad student studying econ and finance and am just starting to utilizing data science to research at a higher level. What would you suggest is a good path is to cover the core basics of data science? My current idea of a 'best path' is: SQL, R, Python, and then focusing on packages like tableau and Tensorflow. What are your thoughts/suggestions. Could also do a video on this ;) Thanks!

[@KenJee_ds]

Thanks for watching! I would generally start with learning python with the kaggle micro courses. They are a nice free resource to get you familiar with most of the relevant techniques. I think SQL and R are fine to pick up at a little later date. I hope this helps!

[@j.williamb.c8984]

And remember something for presentation power bi with Dax or tableu

[@alvarofierro9130]

Hi Ken Jee, thanks for the great content! I decided around March that I wanted to make a career change into data science and quickly realized it was going to take a lot longer than I originally thought. Although I have a degree in aerospace engineering I have been working in sales for the past 8 years so my technical skills weren't where they needed to be. Anyways, after doing some research I came to the conclusion that starting out in a data analyst role might be a more attainable path for me because of my lack of experience and that form there I could transition into data science once I have real world experience. My question for you is, do you believe entering the industry as a data analyst is a good way to do it? Also, do you have any tips for writing a good resume when you don't have experience? I have been taking online courses in SQL and Python and feel pretty proficient in SQL but not so much in Python, still need to work more on that. Thanks again for the great content, I appreciate the hard work you've put into sharing your knowledge.

[@KenJee_ds]

Thanks for watching Alvaro! I think the data analyst role is one of the BEST ways to enter the field. For resume writing without much relevant experience, I recommend watching this video: kzbin.info/www/bejne/poi5gmOsg5qon8k. I would also check out my resume review series. For the data analyst role, python is likely less important. I would try to learn one BI tool (Tableau or Power BI) and really double down on SQL. I hope this advice helps!

[@mashooraraf344]

Hello Mr. Ken. Keep going brother. My well wished will always be with you. I hope one day I will be successful just like you😀.

[@KenJee_ds]

Thanks for watching Mashoor! I believe you will be!

[@gabetiongco4783]

Awesome video Ken, really enjoyed learning from your experiences. I'm an engineering student looking into using consulting as a stepping stone into data science, but your video is giving me some second thoughts about the consulting piece. Are there some red flags about this plan that I'm not seeing? I've reached out on LinkedIn if you'd rather respond over PM. Thanks man!

[@KenJee_ds]

Thanks for watching Gabe! Glad my experiences could help you. I think that going in as an analyst may be the most straightforward path. In consulting, it really depends where you work, you could be doing very related tasks or things that aren't relevant to data science at all. I will get to your linkedin message eventually haha, I do batch processing on them once a week so it is usually just quicker to ask me here.

[@gabetiongco4783]

​@@KenJee_ds Got it, no rush with the LinkedIn message then! I appreciate the responsiveness on KZbin, that's got to be tough to keep up with haha. Thanks again!

[@ravindrakurnal58]

I'm Mechanical Graduate, with 4 years of experience as Design Engineer in Automotive sector. I'm good with python and Tableau. At present I've one question how to get transition from Design Engineering background to Data Science background. When I'm applying for job related to data science, employer is asking about experience in the same field, I'm little stuck at this point. Please guide me in this regards.

[@KenJee_ds]

I would try to leverage as many existing skills as you can. I recommend trying to integrate some data science into your work in the automotive sector. This is a way to blend some of your current work or your background with the new skillset. This also makes more logical sense to employers, you are no longer jumping from one field to another, you are making a smoother transition. I hope this helps!

[@johnpaul4301]

Hi! I'm deciding between MechE and data science. Do data scientists earn more than mechanical engineers?

[@horvat96]

john paul im a mechanical engineer learning about data science and machine learning, so i will probably try to merge em together, as a mec engineer you mostly do drawings and design, i woild tell you go for data science, you can work from home and freelance much more, plus as a exp data science guy, you can make a average of 150k usd/year, as a mec engineer, more like 100k tops

[@gheitacodes4146]

Yes. Story telling is under appreciated. It's not even really taught...

[@KenJee_ds]

Completely agree! I always think about how this could be taught effectively

[@elenaandriianova2744]

Thank you for your video! Very encouraging to start learning ! What do you think about Coursera courses? I am taking python for AI from IBM now to build my python skills

[@KenJee_ds]

Thanks for watching! I think the coursera course is good! Honestly, you really can't go wrong with all the well known resources!

[@shl4916]

Hey Ken ..today I mark the first day of learning in Data science field. I'm a mechanical engineering graduate and have embryonic knowledge on statistics. I've enrolled myself in one MOOC program and plan to gradually enhance my leaning curve. Can you point on some pertinent points I should keep in mind while I pursue my first phase of learning. Also want to thank you for your informative videos!

[@KenJee_ds]

Thanks for watching! My best advice is that learning data science is a hands on process. I recommend doing as many projects as possible to build your functional knowledge. I hope this helps!

[@DiscoverWithJama]

Hi @SH L I am also interested to crack on the DS field. Which course in the MOOC you would figure out as a starter. Cheers

[@shl4916]

@@DiscoverWithJama I started with with one of Coursera ..studying independent courses for different tools

[@victorpinasarnault9135]

Hey Keen, i trying to build a better basics in fundamental mathematics: logic, sets, functions. I already have a background in calculus and stathistics, because I was in enginnering.

[@KenJee_ds]

Nice!

[@victorpinasarnault9135]

The really basics are: Python, SQL, calculus and stathistics?

[@KenJee_ds]

Yep, for the most part! Maybe some linear algebra in there too

[@victorpinasarnault9135]

@@KenJee_ds Shore, that's logic.

[@carmen2851]

Hi Ken Jee, thank you so much for sharing your experience on data science. I'm a statistics student and I am interested in data science. I learned some R and C++ programming language in my uni but I'm not that good in programming. Upon graduating, I hesitate on whether to start working or further study in master program. If further study in master program, what course do you suggest? Data science, computer science or any other relevant course? Looking forward to get your valued opinions. Thank you. ^^

[@KenJee_ds]

Depending on what country you live in, I almost always recommend finding a job if you can. Masters degrees are usually pretty expensive, and I think you can learn almost all the skills without them. On the other hand, If you are looking to get into data analytics, a maters in data science or computer science could be practical. I did my masters in computer science because I thought it was slightly more flexible. With this degree I could also land a job as a software engineer if I needed it. On the other hand, I had to be more selective with my electives and there were also some courses that were pretty useless for me to take. A data science degree has a lot more focus than a cs one would. I hope this helps, it all depends on what you're looking for

[@carmen2851]

Thank you so much@@KenJee_ds

[@sv2515]

I’m curious, do you know what your Myers Briggs personality is? I’d love to see how that relates to your skills.

[@KenJee_ds]

Haha interesting question! It is ENTJ!

[@utkarshvikas7983]

After watching few of your videos I thinks it’s some SI high type. What are your thoughts on ISTJ

[@SL-zn9oh]

Thank you so much for mapping out your path. I am curious to know what your thoughts are regarding health informatics and how feasible it would be for an informatics specialist to transition into data science?

[@KenJee_ds]

Thanks for watching! I don't know too much about health informatics, but from what I've read, it seems like you use many of the same skills. If people are looking to transition to data science, I recommend that they look for positions where they can leverage their previous skill-set as much as possible. I am sure there are data science roles associated with hospitals, insurance, etc, that would be a great starting point for you. I hope this helps!

[@SL-zn9oh]

Ken Jee Awesome! Thanks again man

[@victorpinasarnault9135]

I want to enter in data science because I love calculus and stathistics.

[@KenJee_ds]

Awesome!

[@nickking6371]

I also took statistics 3 times and became an econ major

[@KenJee_ds]

Haha it is a rite of passage!

[@nickking6371]

@@KenJee_ds it was always my 5th class and it was time consuming! It felt easy enough to take in a mini-mester over summer so i did. Anyway, Im really interested in developing a website for a microgreens business im starting. Where can i learn website design, and network dynamics for advertising my products? Any ideas? I know its going to take off once i have an online presence. I just moved to a part of the country that is just learning to register businesses on google maps and things like that. So as i learn programing i would assume my business acumen would give me an advantage in this behind the times demographic. Any ideas on where to begin?

[@mikestev8777]

Hey I'm interested in data analysis/science too. Could you recommend any good books about data analysis in sports? I watched a movie "Moneyball" and it would be good to find out whether doing analysis in sports is useful. I'm a huge fan of basketball (NBA). So if you could give any suggestions, I would appreciate it a lot.

[@KenJee_ds]

I recommend mathletics and sprawlball! amzn.to/2IQMTBK amzn.to/2IOenrk

[@Jaras8884]

Why you r not popular? Underrated

[@KenJee_ds]

Haha thanks for watching! Slow growth is enough for me!

[@victor.hausen]

because it's slow, the syntax looks bad, it's super high level and you don't have control over how many things work... If you come from stats it may seem ok, but if you come from a coding background it may feel a bit off.

[@surajmate7645]

Hii Sir, I am from Electrical Engineering background and I want to opt ""Data Computational Science"" for my masters (M-tec). Will it be a good transition ?

[@KenJee_ds]

That sounds reasonable to me!

[@surajmate7645]

@@KenJee_ds Thanks..

[@a_vickyp8360]

#65: The dog ... okeyyyy 🐶 So statistics, yeap think mathematically is important on DS. I get stuck sometimes thinking which is the best way to play with the features. Really STUCK! (Any advice on this?) It's nice to hear your story, and how the experience vs. interest give you a nice path to DS and ML, and how you share what you learn in this videos. Thank you! :) #66daysofdata

[@KenJee_ds]

This is going to sound weird, but whenever I get super stuck I just try to do something physical. Go for a walk or something completely away from electronics. That usually does the trick for me!

[@a_vickyp8360]

@@KenJee_ds I will do!!!

[@chetankhandeshwar7814]

Hello Ken, How should I'm into digital marketing and interested in web analytics. Can you suggest what will be the best path for me? I have recently completed a one data science with python project.

[@KenJee_ds]

I would try to start experimenting with website data. I would also get familiar with how data is collected through the various platforms. I would expect there are some datasets on kaggle.com that could help!

[@tonyc4669]

Hi Ken. I am making a career change and want to get a second degree in CS. I noticed some schools do not offer second degrees except at the graduate level. What were your other school choices for your MS degree? How did you research? Any good resources? Did you consider online program?

[@KenJee_ds]

I chose between DePaul, U Chicago, U Penn, and Syracuse. The biggest criteria for me was flexibility in curriculum. I chose DePaul because I was able to take more ML & AI courses as electives there than at any of the other schools. I started for the first 3 quarters taking stuff in the classroom, but moved to taking them online for the remainder of my degree. I am a morning person and the night classes were too much for me. I could just watch the lectures the next morning if I did it online. I hope this helps!

[@stefanghiban]

Hey, I have just stumbled upon your channel as I was trying to find some good resources regarding data science. I am currently a third year student doing a computer scene degree with integraded masters. Next year, I have the option to choose some optional modules like: Machine learning technologies or foundations of data science. What do you think I should take? Should I take the ML course and try to understand data science in my free time? I can only take one of those 2. Sorry for the long comment. Your countent is great and I cant wait to see some more stuff from you!!

[@KenJee_ds]

Thanks for watching! I would have to better understand what the content of the courses are. In my mind machine learning is a subcategory of data science, so I would need more clarification

[@stefanghiban]

Ken Jee well, the machine learning module is focused on the practical basis of how learning algorithms can be applied. They teach us about supervised, unsupervised learning, etc. The data science module is focused on fundamentals, like statistics, applications and, key technologies. and methods. I Hope these are good enough descriptions as I would have made an incredibily long comment describing them in more detail.

[@stefanghiban]

Ken Jee do you need more details?

[@laughoutmeow]

Did he say he got 2 master degrees? what was the first one? the second one was comp sci...

[@KenJee_ds]

The first was in global commerce (basically a 1 yr business degree)

[@tomar5e115]

Do you use your skills for the other side of sports analytics? On the bet side?

[@KenJee_ds]

Unfortunately I am not allowed to based on some of the agreements I've signed

[@tomar5e115]

@@KenJee_ds Makes sense, sounds like an interesting profession. Should make a series deep diving into sports analytics (if you haven't already)

[@christieDa]

Hi Ken, I'm a Human kinetics graduates which involves a lot of sports. I decided to apply data science to sports but I dont know what path I need to follow in order to achieve this. Kindly suggest and I'm a beginner I just started learning R

[@KenJee_ds]

Hi Smiles - I recommend this video for getting started with sports analytics! kzbin.info/www/bejne/iX2mZqaGj7h_j5Y . In general, I recommend the kaggle.com micro courses for getting familiar with the technical stuff. I hope this helps!

[@anushreebansal4206]

What do you recommend? MS in Computer Science or MS in Data Science /Business Analytics?

[@KenJee_ds]

I think it really depends on your career goals. For me, CS made sense because I want to do some entrepreneurial stuff where other coding skills are needed. If your main goal is to get a data analyst role, one of the latter degrees probably makes more sense.

[@anushreebansal4206]

@@KenJee_ds Thanks Ken!👍🏻

[@luisalbertobauerlandivar5638]

I'm 27 with a bocherlo's degree in finance and 4 years of experience in the retail bank sector (corporate credit risk analyst to be more precise). I've always been very curious about programming and data science, I even learned some basic coding back in HS. What are the odds for me to switch career to data science/analysis if I complete a 10 month specialization?

[@KenJee_ds]

I think it would definitely be possible! If you were to shift into a finance specific data science role, the odds would probably be better!

[@onport4434]

awesome video

[@KenJee_ds]

Thanks for watching!

[@kcconsigo7429]

Hi sir what can you recommend and prefer ? I'm planning on taking Masters in Information Technology with especialized in Data Analytics or should I go for Masters in Business Analytics.. I'm currently working as Software testing engineer both Manual and Automation. Thanks for your feedback.

[@KenJee_ds]

I don't think it would make a difference between the two. What is more important is the project work and internship opportunities you pursue during the degree

[@somjeet]

Hi Ken.. I just found your channel as I have been searching abt Data Science a lot. I am currently working as a Corporate Banker in the field of Digital Banking, Fintechs. I have a Tech Bachelor degree and a MBA in Finance. I want to learn DS, AI and want to switch to such career.. How do I take it ahead.. Pls guide me

[@KenJee_ds]

Thanks for checking out the channel! I recommend starting with the kaggle.com micro courses as a foundation (they are free) and then moving on to projects. If you are looking for something more structured, I recommend the 365 data science courses. Here are some discount codes if you prefer that option: 47% Discount on 1 year: 365datascience.pxf.io/Z7gXQ or 20% off one month: 365datascience.pxf.io/NjbEv

[@billb6283]

Interesting story!

[@KenJee_ds]

Thanks for tuning in Bill!

[@alexrodriguez2844]

Hey Ken do you have an email to reach out for more help? Im new to data science but im having issues importing panda on spyder Error: (ModuleNotFoundError: No module named 'panda') I uninstalled all python programs because I thought it couldnt find the panda location but its still giving me the same error.I tried going on reddit but couldnt find a fix hopefully someone here can help thank you! ''''import csv ''' import panda as pd data = pd.read_csv('plant_2.csv')

[@KenJee_ds]

The module is called pandas not panda

[@alexrodriguez2844]

@@KenJee_ds would it be an import command if i wanted to upload cvs file to where it can be readable for spyder im getting an error that reads FileNotFoundError: [Errno 2] File plant_2.csv does not exist: 'plant_2.csv'

[@alexrodriguez2844]

I have the csv files in my documents folder would it be import os?

[@KenJee_ds]

@@alexrodriguez2844 the csv has to be in the same folder as the python file. You also have to set the working directory to that file (google how to do this)

[@dodjicohovi4097]

hey Ken Dodji here. Thanks for your approach of teaching DS. Do you think you can spend some time on how to manage files with github and the flow of working between git hub, shell commands, and the jupyter notebooks. Your series on working on data science projects from scratch is the best by the way. Thank you.

[@KenJee_ds]

Thanks for watching! I can definitely spend some time on that. Honestly, the github stuff is an area that I need to improve upon a lot as well. I am glad you like the new series as well! Stay tuned for the next part coming on Friday!

[@joshryals2489]

Joshuaruals

[@de.gattis]

Im now a junior majoring in finance. Can I still become a data scientist if I get a masters in business analytics or data science?

[@KenJee_ds]

Yep! I would generally recommend working in industry first though. If you can find an opportunity as an analyst, you may be able to self study data science and avoid the need to pay for a degree.

[@lorizhuka6938]

Hello sir, I am doing Master in Computational and Data Science. I am currently learning some subjects like scientific computing, parallel computing, algorithm engineering, mathematics models for optimization problems. I want to know how important are these subjects in Data Science and Machine Learning because i want to deep into DS and Ml.

[@raihankhan4374]

Damn, I switched majors a bunch of times too and decided to go wth economics because I felt like it was challenging enough to keep me focused. NOW I’m in my last semester and about to apply to a graduate program for data science to become a data scientist that will hopefully work in sports.

[@KenJee_ds]

Thanks for watching and congrats on graduating soon! Happy to answer any questions you may have as you go along in the process!

[@raihankhan4374]

Ken Jee thanks! I just got into the prerequisite classes for the dsci graduate program and will be applying for entry this December. Will definitely be checking you out along the way.

[@KenJee_ds]

@@raihankhan4374 Great stuff! I am excited to hear how it goes!

[@tinylove4888]

Do I need a degree to become a data analyst/ scientist?

[@KenJee_ds]

It definitely would help, but it can be done (in rare cases) without one.

[@RahulDas-xu3fq]

Hi ken, I have a question, do you know if George Washington university’s certificate in data analytics is a good way to Start out in data science with someone with no background in data science?

[@rayojel3918]

So I’ve been binge watching many of your videos, there’s not a lot of DS resources to begin with so first I wanna say thank u for putting stuff out there to help me. It’s like you’re my mentor. I have questions: Should I get a MS before getting a job or while I’m working? I’m a recent math major graduate, was planning to go to med school but then I wanted to do something in my field (math) and I learned about data science and I instantly knew, I’m doing DataQuest data science path, Do i even need a MS? Can you do a review of DataQuest? How much should I study a day? I’ve been studying 6-8 hours a day, after I finish my full time dead end job, just so I can get into a company I want and start being a data scientist. Rn I’m a beginner, just started in Feb, learned python, OOP, NumPy and Pandas and now I’m doing data aggregation and cleaning. Anyways, where can I practice? I feel like Kaggle is advanced for me and I feel like cheating if I don’t know how to do something and I look it up.

[@KenJee_ds]

Thanks for watching my stuff! Glad you have found it helpful so far. Some thoughts: I don't think that you need a masters in ds if you are willing to put in the work (which it seems like you are). My best recommendation is to do as much project based learning as you can. That is the fastest way to get comfortable with the field. Also, having a portfolio of these projects is the best way to show employers that you are knowledgeable if you don't have data science work experience. I think that the amount of time you are studying each day is plenty. I would just make sure that you don't get burned out. I would dive right into kaggle even if you feel like it is too advanced. It is definitely not cheating if you have to look things up at first. Even now, I am constantly looking up how to implement different algorithms seeing how different people analyze the data that I am interested in. Data science is constantly changing, and googling/ stack overflow/ git research is a large part of the day to day work. I would look through as many kaggle kernels as you can of people who are performing well in the competitions there. You can learn a huge amount by following along. I hope this helps! -Ken

[@rayojel3918]

Ken Jee Thank you for a very helpful and thorough response! That makes sense, rn my plan is to get a job, at least even as a data analyst within the next 6 months. And ok that makes sense, I just felt super frustrated when I get stuck then look at the answer and there’s no way I could’ve thought of that because I didn’t even know such thing existed lol

[@KenJee_ds]

@@rayojel3918 Totally fair. I will say that there is never really any true "answer" to data science problems. There is only the best approach that someone has found thus far. In theory we could make almost every model better if we kept working on it, but there is a point where the return on the model is not worth the extra effort put in. Not sure if that is helpful, but I hope it is haha

[@rayojel3918]

Ken Jee No yeah it’s differently helpful, thank you. I guess coming from a math background where you’re taught let’s say limits then u go apply them and if you’re stuck it’s probably because you didn’t study deeply enough to be able to do it. For this, it’s more that u can’t know everything in python so when I do look up, it’s a mix of “should I have known this method?” or “is this something I could’ve came up with without looking it up”, idk if that makes sense lol

[@KenJee_ds]

@@rayojel3918 Makes total sense! Regardless, I think you're headed the right direction!

[@carterpierre2527]

You're videos are so informative!

[@KenJee_ds]

Thank you! I am glad you are finding them useful!

[@aniket3733]

Hey Ken, great video. Went through your linkedin profile and found that you've done your masters from Depaul University. I have been working as a Data Analyst for the past two years and was thinking of pursuing a graduate degree in the same university. Some questions.. 1. How do you rate the Ms in CS with Machine learning electives as compared to the Ms in Data Science program at Depaul university? 2. And what course do you suggest if I plan on being a data scientist 3 years down the line?

[@KenJee_ds]

Thanks for watching! I had a good experience at DePaul. I personally think that the Masters in CS opened more doors for me than the Masters in Predictive analytics would have. At DePaul, for the masters in CS you have access to the same classes as the data science students, but you can also learn much more about software engineering and programming concepts. I assume you would be planning to go back to school part time? (that is my general recommendation anyway). If this is the case, I would try to build out your project portfolio as much as possible. I would also start networking at the beginning of the program. You can do a ton of informational interviews as a student. If you do 1 a month over 3 years, you will have talked to 36 different people. I would imagine that at least one of them would hold the keys to a new data science role for you. Final note, if you are trying to pursue your masters in data science instead of CS, there are probably better schools than DePaul. I have had some friends the masters in predictive analytics at Northwester and the masters in Data Science at UVA (which are shorter) and have gotten really good jobs. I hope this helps!

[@aniket3733]

@@KenJee_ds Thanks for the reply :) I think I will go ahead with the Masters in CS program option with ML specialization as I want to improve on my programming skills as well and try my luck with getting into UVA and Northwestern Data Science Programs. As I am coming from India to the US for my masters, I think I'll prefer the full time option and get done with the course in 15-18 months and then look for internship and job opportunities and try working on different portfolio projects. Informational interviews is something I am very excited about. Thanks again!

[@KenJee_ds]

@@aniket3733 Awesome! Good luck! Feel free to reach out if you would like any class recommendations etc.

[@Itsniteshkumar]

I like it!

[@masonm600]

You did McIntyre? I did a couple electives there! Though the classes were a lot... softer than my main DS classes.

[@KenJee_ds]

Yep! I did the masters in global commerce program there!

[@kunwarmanishsingh2323]

Hi ..thanks for sharing this insight...m well settled and have a career in security industry but I want to learn about data analysis so that I can make sense of numbers and improve like u did with golf ....awaiting ur response..thanks

[@KenJee_ds]

Thanks for watching! I think you can definitely learn the required skills to do that. I generally recommend the micro courses to get familiar with the necessary analytical tools

[@silviucherloaba3802]

there is no sales major?

[@gero8049]

Foun today your channel. Great content.

[@KenJee_ds]

Thanks for watching! Glad you found the channel!

[@ai.simplified..]

8:08

[@piyushthakur2386]

Hi Ken

[@yinisnino100]

Carmen Vázquez López

[@АркадийСыновец-ж5у]

Hey Ken! Please tell what's your nickname/name at Kaggle. Want to follow you

[@KenJee_ds]

I am not as active there as I would like to be, most of the projects are on github right now. I am planning to start doing more kaggle competitions in my free time, I will make a community post with all my new information very soon!

[@АркадийСыновец-ж5у]

@@KenJee_ds looking forward to checking your kernels:)

[@АркадийСыновец-ж5у]

@@KenJee_ds finally found your profile:)

[@shashanksrivastava6464]

Play video at 1.25x, thank me later

[@KenJee_ds]

Lol I even watch my own videos in 2x speed

[@shashanksrivastava6464]

@@KenJee_ds 😂😂. Still great content, thank you for this video.

[@memeson713]

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

[@suvidsinghal1365]

This person has JEE in his name. That's why he is so hard-working... XDXD

[@KenJee_ds]

haha. Thanks for watching!

[@bobby3269]

Hi daddy

[@carryminatifan9928]

You are too slow 😂 and good thing is you share quality content but sometimes i feel sleepy. Please make changes in your story telling. May be this is the reason why you are not famous in ds but you deserve.

[@KenJee_ds]

Honestly, I watch myself in 2x speed, that may help you out as well!

[@carryminatifan9928]

@@KenJee_ds 😂👍

[@susanaobrien372]

Huh. I am so lost?!!

[@AhmedAli-go7wx]

hello Ken

[@KenJee_ds]

Hi - Thanks for watching!

[@Itsniteshkumar]

I like it!