1) learn programming(python) 2) get familiar with stats and algorithms 3) code review(go to kaggle) 4) do as many projects as you can now Note: these need not to be done in sequence and don't try to master them, get a basic understanding and make learning a habit Last thing: engage with community
I guess im asking randomly but does anybody know a method to get back into an instagram account..? I stupidly lost my password. I love any tricks you can give me
I'm definitely struggling with imposter syndrome right now but this video helped me feel confident in the fact that I DO know things and have skills. Thanks!
You can do it! I also have this other video on Imposter syndrome if you want some additional motivation! czcams.com/video/Uf0dO-pgOrk/video.html&ab_channel=KenJee
Ken being honest about what he struggled with, shows that every great data scientist struggled to reach where they are today. motivating and inspirational as always , thank you !
I think we all would agree that we like hearing you speak, all advices packed with practical, wholesome and nutritious food for thought. Do I smell an early sign of another viral video, great video Ken! 😆 Some of the projects that I look forward to in 2021 is to look into transformers and its application in computational drug discovery, would be awesome to reverse engineer and decode those molecular descriptors to new compounds.
Your content have been sky rocketing this year bro, really in needs from your content especially to become a better data scientist in general. Thanks and keep posting bro
I find the third point extremely helpful: rewriting codes and taking notes of lines you don't understand yet. That would help tremendously. I've been keen on “breaking” other people's codes but it didn't appear I could do it this way. Thanks!
I want to do something similar but im struggling to understand the most basic of the coding problems on kaggle's intro to python course. For some reason it's bothering me despite starting to successfully use "tolerance of ambiguity" to learn Chinese more quickly, and not care about whether I really understand everything at the point of consumption, which Chris Lonsdale says increases your learning capacity by a significant amount. But that effect has not spilled over into learning Python, despite Kenjee and Lonsdale both mentioning something similar. So with regards to that suggestion, I wouldn't even know where to start writing down which pieces of code from the projects of others I don't understand. I suppose the way to go is to start doing a project and look up examples of similar projects and extrapolate for my own benefit, while also using kaggle and using videos like these to reassess my learning on a consistent basis.
Thanks for watching everyone! Would love to hear about the projects you are planning to do in 2021 below! My previous video on the topic: czcams.com/video/4OZip0cgOho/video.html&ab_channel=KenJee What is the #66DaysOfData: czcams.com/video/qV_AlRwhI3I/video.html&ab_channel=KenJee @Andrew Mo - Six Figure Dream Job 's video critique: czcams.com/video/ylBNnHOge8g/video.html&ab_channel=AndrewMo%E2%80%93SixFigureDreamJob My Data Science Beginner's Playlist: czcams.com/play/PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs.html 365 Data Science: (20% off Monthly) 365datascience.pxf.io/Wno9O or (47% off one year) 365datascience.pxf.io/JG3yR (Disclaimer - Affiliate Links)
My main project will be to start my first actual data science job after self-learning for 1.5 years. I'm extremely excited that I will be a consultant for data science and can work with data on an every day basis - thanks to people like you Ken, creating and sharing awesome ressources and personal experience online. I'll definitely join the next 66 days of data, too!
Thanks for this video, I needed to hear this. I’m a sucker for staying in the shallow end trying to master the theory of a new topic and feeling “ready” before jumping into projects. I’m setting myself the goal of completing one of each data science project by the end of this year.
Communities are highly important for accountability, relationship/networking as well as finding continual inspiration and perspective from other people at different levels of data science. I highly agree.
My first project for 2021, which I plan to complete during the 66 days: I think the Marine Corps is stratifying its officer corps through selection of all schools and command opportunities through selection boards, or panels. I believe these boards are subject to heavy confirmation bias and anchoring. I'm going to analyze the recidivism rate of the boards, using SQL joins (which i know how to do, sort of...) and web scraping, which i don't know at all. Planning to learn enough of that over Christmas to get the job done.
Just wanted to jump in and thank you! There is something I learnt a while ago that you will never know if you really want something until you do it. Until this video I had no idea we didn't need to go to university to dip our toes into the field.
1) Start with a plan. That's what I need to do now. I've been jumping around too much. I was interviewing for a couple of months with one company and had a few coding tests that inspired me to focus on those subjects. Then I got the form letter of doom. Now I need to look at what I want to do and refocus. Thanks for the inspiration and the motivation.
This is perfect timing. I'm just about to finish my master in physics and decided I'd like to transition into the data science field. I've been watching tons of your videos the last few weeks, and they helped me a lot to make the decision to become a data scientist and how to start the journey! Thanks!
@@TheManuKelas awesome! I have the opportunity to get into the PhD program of my university if I like. Would you recommend getting a PhD? Did you feel like it helped you in your Data Science career?
I started my journey in this world this year with a six-month paid course and although I'm very happy with my initial progression, I'm also a bit nervous about the amount of new information I'll have to learn. But seeing your videos help me to calm down and give me more motivation to continue this journey. So thank you Ken! Greetings from Argentina!
The best thing you mentioned is If you don't like hearing me speak there is no reason to buy my course. Actually, this occurs many times. But In your case, I like to hear you because of your way to explain concepts.
I scrolled through all of the comments and I see that you replied to almost all of them. This is extraordinary! Keep up the good work! And thanks for daily motivation. I'm hoping to get a data science job soon.
Doing my best haha! I really enjoy hearing the stories, and hopefully my comments can help! Thanks for watching the video and checking out the comments 😆
I recently started following you. I am terrible at Stat. I have this fear. But with this I am ready to face it heads-on. Thank you for speaking to me. I will start my Journey today
It will be amazing to see your next initialization of the Journey in Data Science soon. Actually, I am planning to read and Implement on as many books as possible in 2021. I am so happy to be a part of your community and it's really helping me to grow in my Data Science Journey. Thanks for everything, Ken.
Hi, Ken, I'm looking forward to 66 days! I'm still working on my Titanic competition. The previous modelling performance was only slightly better than the benchmark and then I started all over and found a few things missing from my previous work (combine the datasets first, check the types of missingness, deep understanding of each variable, etc.). So far I made three sharing notebooks(EDA, missingness, fare analysis). Through this project, I became more aware of the importance of EDA and feature engineering.
Thank you for this video, i am at the stuck phase, where i feel like i don't know anything. Its like the more i know, the things i don't know keep expanding. My python and machine learning skills are pretty intermediate. Although one thing i have avoided for a long time is working on projects. I will start doing that.
Thanks for the encouragement Ken Jee - great channel. Last year, I took your advice and have been learning data science pragmatically mainly through projects/challenges in Kaggle. I’m also enrolling in UT Austin’s new MS program starting this year. Looking forward to the continual learning process!
Hey KeNN! Much better fashion sense in this video (and camera, microphone and monitor) :) I really have been absorbing and enjoying your videos for the past 3 months. Having a physics background and a secret fear of programming, your clear philosophical approach has been a lifesaver. I thoroughly enjoy the weekly interviews on KNN and the separate, visual content your youtube channel has to offer. It's so cool to track your growth! I have a masters in applied physics and am currently trying to land my first full-time data science gig, so I will be sure to add regression & classification projects to my github (Only have Monte Carlo & Clustering projects right now) Can't wait to see where your punny dad jokes go next!
Thanks for the kind words about the video and my podcast Sam! Good luck with the job search! I think physics is a very strong background to move into data science from, and all ya really need to do is crank out some more projects for that portfolio!!
I appreciate this video a lot! I'm a teenager and brand new to data science but I wanted to use your advice as a springboard to getting into it. I already bought a few of the books you recommended and I'm slowly on my way.
Thanks for watching Leonard! I think it is awesome that you are interested in the field as a teenager! Happy to answer your questions in the comments as they come!
Great advice and content Ken! One thing I would love to add to those seeking their first job is to ignore job titles, and be open to positions such as "BI Analyst/Engineer, Data Analyst, etc", especially if you are entry level for several reasons 1) I was a BI associate and had opportunities to work on ML. Companies use terms interchangeably, and I have seen "data scientists" who do SQL and reporting all day.. 2) If you want to be a data scientist, you'll have to work with analysts, BI people, data engineers, and stepping into their shoes will help you in the long run. In a way it's taking 1 step back to take 3 forward. and 3) People should really focus on bringing value to an organization, rather than just doing "cool" projects. A lot of companies aren't ready for advanced ML/AI. You will be more miserable creating a data science project which will never be put into production than creating a Tableau Dashboard that the whole business will use. Here’s to a great 2021!
I LOVE YOU KENNN!!! I started my project on Titanic data set on kaggle. Your example on it is saving my time in the research stuff. I'm a beginner And I hope to meet you somedayyy
The video is awesome, I made a bunch of notes for my self as a beginner in ds learning. The vide helped me a lot and gave clarity on how to learn step by step. But I was surprisingly amazed scrolling down the comment section and seeing author`s replays to almost every comment, this level of interaction with subscribers deserves more subscription and followings!))) I subscribed to the channel and look forward to new videos! Great job!
Deep learning project on tea leaf disease detection in tensorflow , training in AWS sagemaker , and deployed using fastapi to get the api and deploy the model in AWS EC2 instance 😎
I think a cool project I want to work on in 2021 is simulating a monopoly game. A favorite subject of mine is stochastic processes, and really, monopoly is just a giant markov chain/transition matrix. I think it'd be cool to do something like that. Still working on my main school project now which has caused a few others to be put on the back burner, but hopefully this one wraps up soon so I can focus on the others more. Great content as always. Just joined the discord!
I basically never comment on videos on youtube, but I feel like I should do this now as I kinda like what I see and hear. The information seems to be very useful, thank you. I am a complete beginner, I started to learn data science a couple of months ago, 5 minutes ago I finished to review some EDA (it is a part of my course). At this moment everything seems to be so complex, I feel like I learn things really slow and I will never be good at this stuff, I hope I am wrong :) You asked about projects, in the future I'd like to make some prediction model for an esport game like Dota 2, CS:GO or so, if I make some of this in 2021 I'll be sooo happy :D p.s. pardon me my English, it's not my native language
I think you will end up being better than you think! It is natural to really struggle with some of this stuff when you start out (I know I did). I promise that after you keep going, when you look back, a bunch of the stuff you struggle with will seem very easy to you. The hard thing is giving yourself enough time to see the improvement. We all learn at a little different rates, and even if you're behind your peers in something, you may be way ahead of them in another area. Your projects sound awesome! Something that may help you along is working with others on a project. It can help to see how someone slightly ahead of you breaks down a problem or goes through an analysis!
I am enjoying your funny clips in between the serious talks. Also, I resonate with using multiple resources to understand a particular topic. Earlier, I used to give up on a certain topic if I didn't understand it in the first go. Now, I take breaks and go back to it using multiple resources. As usual thanks for your awesome advice and your videos are getting more and more entertaining.
I'm 47 and back in school for a career change. I'm about a year away from a BS in Data Analytics. With my age, I feel like I need to REALLY learn this stuff faster and better than my peers because I'm already 'behind'. I haven't learned all the concepts, but I do know R, python and basic stats including regression, logistic regression, decision trees and random forests. I love data science, even though I don't understand it all yet. Anyone have other youtubers that I can follow, in addition to Ken. I'm not worried about not understanding everything yet, I just want to expose myself to the topics. I know at some point, it will come together and "click"
Highly recommend building out your project portfolio as much as possible! I think this will take you the furthest in your journey. I recommend Data Professor, Tina Huang, Alex the Analyst, Luke Barousse, Richard on Data, and many more (just go through the channels I subscribe to)
Dude. I really appreciate your content. I’m busy pushing thru Udacity’s machine Learning course. I work alone and no one I speak too understands what I’m going through. Udacity content really bugs me. Pun intended. You’re describing exactly what’s happening and I find it very therapeutic. I’m not stupid
Really glad the videos are helpful! If you're looking for a community around data science, I would look into the #66DaysOfData! There are a lot of people doing that initiative with me who are likely going through the same course!
I strongly agreed that university curriculum is a good reference for study guideline. I personally use the CMU ML program's curriculum and search related python, R or Java related projects to practice at the same time. Very decent and practical advices for data learning. Looking forward to see your next video about this. Finally, my personal advise is do not be too greedy and take time to digest fully. Thanks for sharing!
I am just on the verge of that start a project phase. I feel the urge to jump ahead but I am committing to finishing the machine learning course from google because I know I need more of a foundation. Should not take long, I plan on starting my first project this week. I think it would be cool for me to do a sort of reaction/breakdown of this video and how it relates to my journey for a more in the dirt perspective if that's ok with you. (not that your perspective isn't good, just that I don't need to start over because I have barely even started, I think you know what I mean haha)
Last year, I worked on a data science certificate. I learned a lot. However, the program didn't talk about portfolios or branding. It's funny because the training was funded for underemployed individuals..to help them transition to a new career. ALSO, it had 0 programming. I happen to know coding, but I've done no programming projects in this program. My first step for 2021 is to learn if I can actually be attractive to employers with this learning (Tableau, RapidMiner, KNIME, Alteryx) and to find a source of temporary income, while I figure this out.
I appreciated your video Ken! 2020 was a challenging year for me in terms of defining what to study and you helped me a lot on this! I am looking forward to starting the path I idealized and being part of your community!
Thanks for tuning in Pedro! Sorry to hear this year was tough, and I hope things turn around for you in 2021. Happy to have you as a part of the community, and I think you will do great things this upcoming year!
@@KenJee_ds thank you! I agree, I'm learning SQL, R, Python, and some packages to visualize histograms and so on. So far it's kinda interesting. Have a nice one.
This is the Data since as this video after 5-6 months later , you will see your self again wtf was talking about lol . Thanks for videos really appreciate ATM . Good job . thanks again
It may also be useful to take time learning data mining and web scraping. I actually love designing projects on topics that I'm interested in and data mining allows you to create your own datasets.
Thank you very much for your explanation. I think it can be helpful to have groups of 3 to 5 persons in which you can work together on projects. In this way, you can learn from others and have the motivation
Ken, glad to see that you reworked this video. I’ve studied a bit of DS over the past year, but am looking to refocus that effort, so this comes at a great time for me. Also, I saw what you did there with fashion sense...wearing the same shirt. 🤫
I would like if you do some videos on your 66 days of Data Science Journey as it will give us some insights on how and what to do when we think we might or know that we are lacking something
I'm just about to submit my PhD thesis in Biophysics. I'm hoping to switch to a Bioinformatics career in 2021 so videos like this are super helpful, thanks. Currently working on a project to gather data from various biological databases to help me understand REST APIs.
Projects I’m working on: GOAT-Analysis : Analysis and comparison on Michael Jordan, Kobe Bryant, and Lebron James. Who was the best player of all time? NFL Databowl: Quantifying pass defense and finding the best strategies against offenses
@Syl Verr yes! Using data which your passionate about and aims to solve a non traditional question helps you get motivated! Pretty controversial project I’ll say.
Thank you so much Ken Jee! I am thinking about transitioning into the Data science space in 2021. I am currently in a master of economics and computer science and wanted to know if or how economics helped in your journey into moving into data science as well. Thanks again for this video!!!
I think your background sounds like a great fit for data science! Economics was great for understanding the world through trends. I would say most applied economics is data science under a different name!
You're just the best! I started the 66 data journey with you but wasn't able to keep up, but you always motivate me, hope to be more sincere this time. A structured curriculum should be made, at least for me to be more, you know, sincere. Maybe starting with Kaggle and online courses.. So many different courses, competition, everything gets me so overwhelmed, maybe because I just look through it instead of starting, but not this time, I will make use of time! Listening to you today, made my day! Thanks, KJ Merry Christmas!
Thanks ken for this video. For your video and other videos I have taken lots of advice. Because of you I have 4 projects [ News classification with a dash board, Twitter sentiment analysis, Real Or not NLP project] and some other analysis, cleaning and visualization. I also have learned some machine learning algos from scratch. I will make a clustering project soon. I am starting to apply for data science jobs. I hope to get one of them before january ends. If you think there is something more I need to add on my resume. Plss mentions. Thanks and take care.
Hi Ken. I just opened up my course work for my master's program in Data Science from the University of Denver and I am on red alert! The bridge math courses are so intense that I feel like I may be in over my head. The calculus bridge course essentially covers calculus from limits all the way up to multivariate calculus and beyond (4 to 5 calculus courses) in a span of 10 weeks! Their discrete math and linear algebra combine these two disciplines as well. I may switch to Eastern University's program which is much less math intensive and can be completed in 10 months. Do you think companies will really care where I get my degree from? I enjoy math, but not at such a pace that I will have difficulty retaining any of it. The fact that I end up spending over 95% of my time using outside resources to even begin to understand how to do the homework assignments leads me to believe this may not be a very well structured program and that I might as well drop this master's program and switch to a different one.
I don't think that employers will care much which university you got your degree from! It is definitely more about what you create while you're there. If everything is online anyway, I recommend choosing the program that makes the most sense for your objectives! Good luck with starting things up!
Hello ken It's amazing how you highlight the main points and gave us some good advice ... already started the #66daysofdata and also took your course of 365 data science platform : that's some real advice we are talking about in that course 💯 Wish you luck and in advance happy new year💯😊
I'm a materials engineer and I have data like xray and electron beam diffraction patterns. I would love to create a tool to automate the analysis somewhat easily since manual calculations and sometimes even the softwares available dont work with every single chemistry out there. But right now, I only know basic python programming. Theres adequate literature out there who have done kinda similar stuff but right now, everything is so overwhelming!
That's awesome! That was the first data science video I ever watched. It led to a 3 hour Ken Jee binge watch, and my first professional connection request on LinkedIn. Thanks for being so approachable and helpful, Ken.
Great video Ken! For 2021 I was thinking of a project that predicts the value of magic: the gathering cards on the secondary market. I'll try to combine sentiment analysis (taken from twitter) and data from online tournaments to do so. It's a greedy project, but I can use it if it works so it's a win/win haha
Thanks Hugo! And that is an awesome sounding project. I used to play Magic a long time ago and have also been contemplating doing something around the card market! Would love to hear about what you create!
@@KenJee_ds it's an interesting topic to analyse, especially now with the pandemic. If you ever return to magic and want to get a game, just say the word, there are various apps to do so using the webcam :D
Hi, Ken! I really appreciate the content you post, you have been really helpful, thank you a lot! I've been learning Python for DS for 6 months now using CZcams tutorials and most recently DataCamp. I already have good statistics background and will be taking soon a nice statistics course on Udacity. I think it is a good moment to get my hands dirty with projects, but I've had a hard time finding some. Where do I get DS projects for beginners?
Thanks for watching Ciro!! I recommend checking out the 3 projects that I outline in this video: czcams.com/video/8igH8qZafpo/video.html&ab_channel=KenJee
For 2021 after I finally have acquired enough basic skills I want to work on a Soccer project and maybe get my hands on some professional Call of Duty data.
Hey! I am thinking about creating a project about a mobile price predictor(which would be my first project), and I would be following your building a project from scratch playlist. That's my project plan for 2021. Hope everything goes well(fingers crossed).
What was your first programming language and How long it took you to learn that? Question to ken and everyone Mine was javascript and it took me around 1 month (with a lot of procrastination) to learn the basics.
Mine was html in 8 grade, then c and c++ in 9 grade then java in 11th and 12th grade but I literally don't remember anything I have learned python now on my own 🙂
I am a Pharma professional, started learning Python and DS. And obviously looking for healthcare projects. I want to use my healthcare knowledge along with predictive analysis.
I have been away for a while.. Good to see your channel doing so well. Although I haven't been so active recently, I personally have come a long way since the first #66daysofdata. I was looking forward to the next one, but unfortunately I don't think I will be able to participate (I kinda got to be away for quite some time). I will make sure to be on Discord whenever I can though. Good luck!
Thank you Ken! You're a source of inspiration! Can I ask you just one thing: In your opinion is better to improve machine learning knowledge first and after move on deep learning, or study them together?
I personally learned most other ml concepts before diving into deep learning, although I don't think it has to be that way. My thought is that you should learn whatever will keep you most engaged in the field!
Looking forward to join you in the 66 days of data again. As a project, i want to web scrap the prices and data of a colombian e-commerce each day and show how the business behave as the country get the COVID's vaccine.
I hope you start the journey as well. I would look more into free compute resources on kaggle and google colab. You really don't need a powerful computer at all to do data science!
1) learn programming(python)
2) get familiar with stats and algorithms
3) code review(go to kaggle)
4) do as many projects as you can now
Note: these need not to be done in sequence and don't try to master them, get a basic understanding and make learning a habit
Last thing: engage with community
💯
@@KenJee_ds 💪🏼
valeu
@@ratfaeskarblar3801 💯
I guess im asking randomly but does anybody know a method to get back into an instagram account..?
I stupidly lost my password. I love any tricks you can give me
I'm definitely struggling with imposter syndrome right now but this video helped me feel confident in the fact that I DO know things and have skills. Thanks!
You can do it! I also have this other video on Imposter syndrome if you want some additional motivation! czcams.com/video/Uf0dO-pgOrk/video.html&ab_channel=KenJee
Ken being honest about what he struggled with, shows that every great data scientist struggled to reach where they are today. motivating and inspirational as always , thank you !
Doing my best to be honest with you all and myself! Can only get better if we take a good long look in the mirror! Thanks for watching!
I think we all would agree that we like hearing you speak, all advices packed with practical, wholesome and nutritious food for thought. Do I smell an early sign of another viral video, great video Ken! 😆
Some of the projects that I look forward to in 2021 is to look into transformers and its application in computational drug discovery, would be awesome to reverse engineer and decode those molecular descriptors to new compounds.
Thanks data professor! Looking forward to those projects for sure!
Data Professor You can discover medicine using transformers?? Are they even related?
@@utkarshprakash6485 Yes, it’s definitely an exciting area to explore. Sounds out of this word right, but that’s the power of AI 😆
@@DataProfessor :)
You are awesome. Good Tips to be become data scientist
Your content have been sky rocketing this year bro, really in needs from your content especially to become a better data scientist in general. Thanks and keep posting bro
Glad to hear the videos have been helpful! I'm excited to make more stuff in 2021! Thanks for watching so many of my videos!
I find the third point extremely helpful: rewriting codes and taking notes of lines you don't understand yet. That would help tremendously. I've been keen on “breaking” other people's codes but it didn't appear I could do it this way. Thanks!
Glad to hear you found that point helpful Lekan!! Thanks for watching!
I want to do something similar but im struggling to understand the most basic of the coding problems on kaggle's intro to python course. For some reason it's bothering me despite starting to successfully use "tolerance of ambiguity" to learn Chinese more quickly, and not care about whether I really understand everything at the point of consumption, which Chris Lonsdale says increases your learning capacity by a significant amount. But that effect has not spilled over into learning Python, despite Kenjee and Lonsdale both mentioning something similar. So with regards to that suggestion, I wouldn't even know where to start writing down which pieces of code from the projects of others I don't understand. I suppose the way to go is to start doing a project and look up examples of similar projects and extrapolate for my own benefit, while also using kaggle and using videos like these to reassess my learning on a consistent basis.
Hey Lekan! Was wondering what you mean by breaking other people’s code? 😃
Thanks for watching everyone! Would love to hear about the projects you are planning to do in 2021 below!
My previous video on the topic: czcams.com/video/4OZip0cgOho/video.html&ab_channel=KenJee
What is the #66DaysOfData: czcams.com/video/qV_AlRwhI3I/video.html&ab_channel=KenJee
@Andrew Mo - Six Figure Dream Job 's video critique: czcams.com/video/ylBNnHOge8g/video.html&ab_channel=AndrewMo%E2%80%93SixFigureDreamJob
My Data Science Beginner's Playlist: czcams.com/play/PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs.html
365 Data Science:
(20% off Monthly) 365datascience.pxf.io/Wno9O or
(47% off one year) 365datascience.pxf.io/JG3yR (Disclaimer - Affiliate Links)
Cool thank you !!
My main project will be to start my first actual data science job after self-learning for 1.5 years. I'm extremely excited that I will be a consultant for data science and can work with data on an every day basis - thanks to people like you Ken, creating and sharing awesome ressources and personal experience online.
I'll definitely join the next 66 days of data, too!
Thanks for this video, I needed to hear this. I’m a sucker for staying in the shallow end trying to master the theory of a new topic and feeling “ready” before jumping into projects. I’m setting myself the goal of completing one of each data science project by the end of this year.
I love that goal! You can do it!
Communities are highly important for accountability, relationship/networking as well as finding continual inspiration and perspective from other people at different levels of data science. I highly agree.
I have found so much value engaging with the one on youtube and linkedin! Very grateful!
My first project for 2021, which I plan to complete during the 66 days:
I think the Marine Corps is stratifying its officer corps through selection of all schools and command opportunities through selection boards, or panels. I believe these boards are subject to heavy confirmation bias and anchoring.
I'm going to analyze the recidivism rate of the boards, using SQL joins (which i know how to do, sort of...) and web scraping, which i don't know at all. Planning to learn enough of that over Christmas to get the job done.
Absolutely love this project! Would love to hear about / share your findings!
Just wanted to jump in and thank you! There is something I learnt a while ago that you will never know if you really want something until you do it. Until this video I had no idea we didn't need to go to university to dip our toes into the field.
Glad to hear the video helped!
You are literally amazing. your aesthetic presentation boost me on next level in the quest of learning data science.
Thank you for the kind words Ashbin!! Glad to hear the videos are helping you on your learning journey!!
1) Start with a plan. That's what I need to do now. I've been jumping around too much. I was interviewing for a couple of months with one company and had a few coding tests that inspired me to focus on those subjects. Then I got the form letter of doom. Now I need to look at what I want to do and refocus. Thanks for the inspiration and the motivation.
Thanks for watching, glad I could provide some motivation for you DJ! Keep it up with the 66daysofdata! I know it will turn around for ya!
This is perfect timing. I'm just about to finish my master in physics and decided I'd like to transition into the data science field.
I've been watching tons of your videos the last few weeks, and they helped me a lot to make the decision to become a data scientist and how to start the journey!
Thanks!
Awesome stuff! Physics is actually a very strong background to come from for breaking in!
I moved to data science after my pos doc in Physics and I can tell the course will help you a lot!
@@TheManuKelas awesome! I have the opportunity to get into the PhD program of my university if I like. Would you recommend getting a PhD? Did you feel like it helped you in your Data Science career?
I started my journey in this world this year with a six-month paid course and although I'm very happy with my initial progression, I'm also a bit nervous about the amount of new information I'll have to learn. But seeing your videos help me to calm down and give me more motivation to continue this journey. So thank you Ken! Greetings from Argentina!
Glad to hear the videos have been helpful in your journey this year Alex! I hope to visit Argentina when it is safe to travel again!
The best thing you mentioned is If you don't like hearing me speak there is no reason to buy my course. Actually, this occurs many times.
But In your case, I like to hear you because of your way to explain concepts.
Thank you for the kind words Piyush!
@@KenJee_ds My pleasure
I scrolled through all of the comments and I see that you replied to almost all of them. This is extraordinary! Keep up the good work! And thanks for daily motivation. I'm hoping to get a data science job soon.
Doing my best haha! I really enjoy hearing the stories, and hopefully my comments can help! Thanks for watching the video and checking out the comments 😆
I recently started following you. I am terrible at Stat. I have this fear. But with this I am ready to face it heads-on. Thank you for speaking to me. I will start my Journey today
Glad you are able to face it head on! If you're bad at Stats today, it doesn't mean you will be bad at it forever!
@@KenJee_ds thank you!
Haha Ken! Min 1:45. My global max favourite of this video. Great channel - GL on all your goals!
Thanks Pamela!! Glad you enjoyed!
It will be amazing to see your next initialization of the Journey in Data Science soon. Actually, I am planning to read and Implement on as many books as possible in 2021. I am so happy to be a part of your community and it's really helping me to grow in my Data Science Journey. Thanks for everything, Ken.
Happy to have you as a part of the community Thinam!! Looking forward to what 2021 brings you!
You're 100% correct, this is exactly my progress and I've done project in classification, clustering and regression, posted it on my GitHub profile 👍🏽
Awesome stuff Owen!
Hi, Ken, I'm looking forward to 66 days! I'm still working on my Titanic competition. The previous modelling performance was only slightly better than the benchmark and then I started all over and found a few things missing from my previous work (combine the datasets first, check the types of missingness, deep understanding of each variable, etc.). So far I made three sharing notebooks(EDA, missingness, fare analysis). Through this project, I became more aware of the importance of EDA and feature engineering.
Awesome stuff Brenda! I think titanic is a great starting place to understand EDA!
Thank you for this video, i am at the stuck phase, where i feel like i don't know anything. Its like the more i know, the things i don't know keep expanding. My python and machine learning skills are pretty intermediate. Although one thing i have avoided for a long time is working on projects. I will start doing that.
Thanks for the encouragement Ken Jee - great channel.
Last year, I took your advice and have been learning data science pragmatically mainly through projects/challenges in Kaggle.
I’m also enrolling in UT Austin’s new MS program starting this year. Looking forward to the continual learning process!
Awesome stuff Jonathan! Excited to hear how your projects go!
How did you like it?
Hey KeNN! Much better fashion sense in this video (and camera, microphone and monitor) :)
I really have been absorbing and enjoying your videos for the past 3 months. Having a physics background and a secret fear of programming, your clear philosophical approach has been a lifesaver.
I thoroughly enjoy the weekly interviews on KNN and the separate, visual content your youtube channel has to offer. It's so cool to track your growth!
I have a masters in applied physics and am currently trying to land my first full-time data science gig, so I will be sure to add regression & classification projects to my github (Only have Monte Carlo & Clustering projects right now)
Can't wait to see where your punny dad jokes go next!
Thanks for the kind words about the video and my podcast Sam! Good luck with the job search! I think physics is a very strong background to move into data science from, and all ya really need to do is crank out some more projects for that portfolio!!
OMG you are blowing up fast... Last time I remember you had 106k subscribers. Now you have 108k! You deserve it though... Congrats!!!
Thanks 😆
I appreciate this video a lot! I'm a teenager and brand new to data science but I wanted to use your advice as a springboard to getting into it. I already bought a few of the books you recommended and I'm slowly on my way.
Thanks for watching Leonard! I think it is awesome that you are interested in the field as a teenager! Happy to answer your questions in the comments as they come!
@@KenJee_ds Thanks Ken!
Great advice and content Ken! One thing I would love to add to those seeking their first job is to ignore job titles, and be open to positions such as "BI Analyst/Engineer, Data Analyst, etc", especially if you are entry level for several reasons 1) I was a BI associate and had opportunities to work on ML. Companies use terms interchangeably, and I have seen "data scientists" who do SQL and reporting all day.. 2) If you want to be a data scientist, you'll have to work with analysts, BI people, data engineers, and stepping into their shoes will help you in the long run. In a way it's taking 1 step back to take 3 forward. and 3) People should really focus on bringing value to an organization, rather than just doing "cool" projects. A lot of companies aren't ready for advanced ML/AI. You will be more miserable creating a data science project which will never be put into production than creating a Tableau Dashboard that the whole business will use. Here’s to a great 2021!
Completely agree! Great advice!!
Love the project-driving approach! Thanks for making this amazing video!
Thanks for watching!!!
I LOVE YOU KENNN!!! I started my project on Titanic data set on kaggle. Your example on it is saving my time in the research stuff. I'm a beginner And I hope to meet you somedayyy
Awesome stuff! When things open up again, I am hoping to go to quite a few conferences. Should be ample opportunities!
@@KenJee_ds AAAAA THANK YOUUU FOR YOUR REPLYYY
Hey, you can look into my little project on titanic dataset
github.com/Aditya-Rajgor/Personal-Projects/tree/master/Titanic%20ML%20Problem
2021 will be a great year to strengthen my data science skills. I'm planning to do it in ultralearning way.
Excellent!
Wish you all the best!
Thanks for the redux! Like a good data scientist, always refining !
Glad you liked it!! Thank you for watching!
The video is awesome, I made a bunch of notes for my self as a beginner in ds learning. The vide helped me a lot and gave clarity on how to learn step by step.
But I was surprisingly amazed scrolling down the comment section and seeing author`s replays to almost every comment, this level of interaction with subscribers deserves more subscription and followings!))) I subscribed to the channel and look forward to new videos!
Great job!
Doing my best to respond! Thank you for the sub :)
Deep learning project on tea leaf disease detection in tensorflow , training in AWS sagemaker , and deployed using fastapi to get the api and deploy the model in AWS EC2 instance 😎
Sounds very cool!!! I love fastapi!
This video motivated me to start learning again , Thanks Ken ❤️❤️
I think a cool project I want to work on in 2021 is simulating a monopoly game. A favorite subject of mine is stochastic processes, and really, monopoly is just a giant markov chain/transition matrix. I think it'd be cool to do something like that. Still working on my main school project now which has caused a few others to be put on the back burner, but hopefully this one wraps up soon so I can focus on the others more. Great content as always. Just joined the discord!
I love this project! I would like to do the same with Settlers of Catan!
Your fashion sense is excellent :)
Haha thanks Tina! As you can see it has improved over time!
@@KenJee_ds yes indeed!
I basically never comment on videos on youtube, but I feel like I should do this now as I kinda like what I see and hear. The information seems to be very useful, thank you.
I am a complete beginner, I started to learn data science a couple of months ago, 5 minutes ago I finished to review some EDA (it is a part of my course). At this moment everything seems to be so complex, I feel like I learn things really slow and I will never be good at this stuff, I hope I am wrong :)
You asked about projects, in the future I'd like to make some prediction model for an esport game like Dota 2, CS:GO or so, if I make some of this in 2021 I'll be sooo happy :D
p.s. pardon me my English, it's not my native language
I think you will end up being better than you think! It is natural to really struggle with some of this stuff when you start out (I know I did). I promise that after you keep going, when you look back, a bunch of the stuff you struggle with will seem very easy to you. The hard thing is giving yourself enough time to see the improvement. We all learn at a little different rates, and even if you're behind your peers in something, you may be way ahead of them in another area.
Your projects sound awesome! Something that may help you along is working with others on a project. It can help to see how someone slightly ahead of you breaks down a problem or goes through an analysis!
keep it up Ken! Love it!
constructive feedback: You should wear the Under Armour flannel in EVERY video!
Thanks Luke!!
Noted on the Under Armour. Flannel may be out as that is a bit hot for Hawaii 😂
I am enjoying your funny clips in between the serious talks. Also, I resonate with using multiple resources to understand a particular topic. Earlier, I used to give up on a certain topic if I didn't understand it in the first go. Now, I take breaks and go back to it using multiple resources. As usual thanks for your awesome advice and your videos are getting more and more entertaining.
Thanks for taking note of them! I find I can get a little too serious sometimes haha.
I'm 47 and back in school for a career change. I'm about a year away from a BS in Data Analytics. With my age, I feel like I need to REALLY learn this stuff faster and better than my peers because I'm already 'behind'. I haven't learned all the concepts, but I do know R, python and basic stats including regression, logistic regression, decision trees and random forests. I love data science, even though I don't understand it all yet. Anyone have other youtubers that I can follow, in addition to Ken. I'm not worried about not understanding everything yet, I just want to expose myself to the topics. I know at some point, it will come together and "click"
Highly recommend building out your project portfolio as much as possible! I think this will take you the furthest in your journey. I recommend Data Professor, Tina Huang, Alex the Analyst, Luke Barousse, Richard on Data, and many more (just go through the channels I subscribe to)
Dude. I really appreciate your content.
I’m busy pushing thru Udacity’s machine Learning course. I work alone and no one I speak too understands what I’m going through.
Udacity content really bugs me. Pun intended.
You’re describing exactly what’s happening and I find it very therapeutic. I’m not stupid
Really glad the videos are helpful! If you're looking for a community around data science, I would look into the #66DaysOfData! There are a lot of people doing that initiative with me who are likely going through the same course!
Your videos have inspired many
Thanks Kieran!!
I strongly agreed that university curriculum is a good reference for study guideline. I personally use the CMU ML program's curriculum and search related python, R or Java related projects to practice at the same time. Very decent and practical advices for data learning. Looking forward to see your next video about this. Finally, my personal advise is do not be too greedy and take time to digest fully. Thanks for sharing!
Great advice and thanks for sharing which program you took inspiration from!!
Thank you Ken. I'm really enjoying your videos and podcast as I begin my data science journey.
Thanks for watching the videos and the podcasts Aaron! Feel free to leave questions in the comments if you have them as you go!
Definitely looking forward to the next project series Ken!
Thanks Mario! I'm looking forward to it too!
You are a great speaker and presenter, do never doubt about it, ever again. Don’t even mention it
Thank you Andres!!
I am just on the verge of that start a project phase. I feel the urge to jump ahead but I am committing to finishing the machine learning course from google because I know I need more of a foundation. Should not take long, I plan on starting my first project this week.
I think it would be cool for me to do a sort of reaction/breakdown of this video and how it relates to my journey for a more in the dirt perspective if that's ok with you. (not that your perspective isn't good, just that I don't need to start over because I have barely even started, I think you know what I mean haha)
Last year, I worked on a data science certificate. I learned a lot. However, the program didn't talk about portfolios or branding. It's funny because the training was funded for underemployed individuals..to help them transition to a new career. ALSO, it had 0 programming. I happen to know coding, but I've done no programming projects in this program.
My first step for 2021 is to learn if I can actually be attractive to employers with this learning (Tableau, RapidMiner, KNIME, Alteryx) and to find a source of temporary income, while I figure this out.
Awesome stuff! I think that is a great first step!
I appreciated your video Ken! 2020 was a challenging year for me in terms of defining what to study and you helped me a lot on this! I am looking forward to starting the path I idealized and being part of your community!
Thanks for tuning in Pedro! Sorry to hear this year was tough, and I hope things turn around for you in 2021. Happy to have you as a part of the community, and I think you will do great things this upcoming year!
Thanks for your insights! I'm learning to be a data analyst, but DS will be the next step for sure. Cheers ✌
Thanks for watching Achille! I think when starting out, many of the skills are the same! I wish you the best of luck on your learning journey!
@@KenJee_ds thank you! I agree, I'm learning SQL, R, Python, and some packages to visualize histograms and so on. So far it's kinda interesting. Have a nice one.
This is the Data since as this video after 5-6 months later , you will see your self again wtf was talking about lol .
Thanks for videos really appreciate ATM . Good job . thanks again
Thanks for watching!
Ken Jee, you are the best. I am your follower since this channel has 3k to 4k subscribers. I am happy that your channel is growing.
Thank you for being a follower for so long Salik! I hope the videos have proven useful!
@@KenJee_ds Absolutely Yes :)
Yeah Ken! Well done! Hope all is well with you and happy holidays!
Thanks Nicky! I hoe you have a happy holiday season as well!
Another Awesome video!
Thanks for watching Norman!
Thanks for sharing
Thanks for watching!
i failed stat 1 x3 in college (im english major, now doing sales). now Im relearning stat for data science
I think it helps to have a purpose to learn stats. I failed calc in college but now am pretty good at it because I see why it is useful!
It may also be useful to take time learning data mining and web scraping. I actually love designing projects on topics that I'm interested in and data mining allows you to create your own datasets.
I completely agree! I think the world will be run by data soon, and collecting it is a great skill to have!
Thank you very much for your explanation. I think it can be helpful to have groups of 3 to 5 persons in which you can work together on projects. In this way, you can learn from others and have the motivation
Agreed!
Ken, glad to see that you reworked this video. I’ve studied a bit of DS over the past year, but am looking to refocus that effort, so this comes at a great time for me. Also, I saw what you did there with fashion sense...wearing the same shirt. 🤫
Glad to hear this comes at a great time Terrence! Haha glad someone got my joke!
I would like if you do some videos on your 66 days of Data Science Journey as it will give us some insights on how and what to do when we think we might or know that we are lacking something
Can definitely work on that!
Thanks, Ken. Good stuff.
Thanks Kyle!
What an amazing initiative Ken - #66daysofdata is an absolute success!!!
Thanks Danny! I hope you'll join me for the next round of it!
I'm just about to submit my PhD thesis in Biophysics. I'm hoping to switch to a Bioinformatics career in 2021 so videos like this are super helpful, thanks. Currently working on a project to gather data from various biological databases to help me understand REST APIs.
Awesome stuff! I would also check out the Data Professor's channel! He is a bioinformatics professor and data scientist!
Projects I’m working on:
GOAT-Analysis :
Analysis and comparison on Michael Jordan, Kobe Bryant, and Lebron James. Who was the best player of all time?
NFL Databowl:
Quantifying pass defense and finding the best strategies against offenses
Awesome stuff!!!
@Syl Verr yes! Using data which your passionate about and aims to solve a non traditional question helps you get motivated! Pretty controversial project I’ll say.
Such an informative video Ken.
Can you make a video on Roadmap to Learn Data Science in 2021,
It will be really helpful for freshers like me.
Thank you so much Ken Jee! I am thinking about transitioning into the Data science space in 2021. I am currently in a master of economics and computer science and wanted to know if or how economics helped in your journey into moving into data science as well. Thanks again for this video!!!
I think your background sounds like a great fit for data science! Economics was great for understanding the world through trends. I would say most applied economics is data science under a different name!
Thanks Ken 👍
Thanks for watching Chathura!
Love it. Thanks 🤩!!!
Awesome! Thank you for watching!
You're just the best!
I started the 66 data journey with you but wasn't able to keep up, but you always motivate me, hope to be more sincere this time.
A structured curriculum should be made, at least for me to be more, you know, sincere.
Maybe starting with Kaggle and online courses..
So many different courses, competition, everything gets me so overwhelmed, maybe because I just look through it instead of starting, but not this time, I will make use of time!
Listening to you today, made my day!
Thanks, KJ
Merry Christmas!
Awesome stuff Swarnima! I hope you'll join me starting up the #66DaysOfData again next year!
Thanks ken for this video.
For your video and other videos I have taken lots of advice.
Because of you I have 4 projects [ News classification with a dash board, Twitter sentiment analysis, Real Or not NLP project] and some other analysis, cleaning and visualization. I also have learned some machine learning algos from scratch.
I will make a clustering project soon.
I am starting to apply for data science jobs.
I hope to get one of them before january ends.
If you think there is something more I need to add on my resume.
Plss mentions.
Thanks and take care.
Great video Ken!
Thanks Alex!!
Thank you master♥️
Thanks for watching!!
Hi Ken. I just opened up my course work for my master's program in Data Science from the University of Denver and I am on red alert! The bridge math courses are so intense that I feel like I may be in over my head. The calculus bridge course essentially covers calculus from limits all the way up to multivariate calculus and beyond (4 to 5 calculus courses) in a span of 10 weeks! Their discrete math and linear algebra combine these two disciplines as well. I may switch to Eastern University's program which is much less math intensive and can be completed in 10 months. Do you think companies will really care where I get my degree from? I enjoy math, but not at such a pace that I will have difficulty retaining any of it. The fact that I end up spending over 95% of my time using outside resources to even begin to understand how to do the homework assignments leads me to believe this may not be a very well structured program and that I might as well drop this master's program and switch to a different one.
I don't think that employers will care much which university you got your degree from! It is definitely more about what you create while you're there. If everything is online anyway, I recommend choosing the program that makes the most sense for your objectives! Good luck with starting things up!
Hello ken
It's amazing how you highlight the main points and gave us some good advice ... already started the #66daysofdata and also took your course of 365 data science platform : that's some real advice we are talking about in that course 💯
Wish you luck and in advance happy new year💯😊
Glad to hear the course was helpful Shruti! Thanks for watching as well!!! Excited that you are a part of #66DaysOfData!
I'm a materials engineer and I have data like xray and electron beam diffraction patterns. I would love to create a tool to automate the analysis somewhat easily since manual calculations and sometimes even the softwares available dont work with every single chemistry out there. But right now, I only know basic python programming. Theres adequate literature out there who have done kinda similar stuff but right now, everything is so overwhelming!
That sounds like an incredible use case! I'm sure you can do that, just remember to break it into smaller discrete steps!
great tips!!!
Thanks Juliette!!
thank you for this
Thank you for watching!
That's awesome! That was the first data science video I ever watched. It led to a 3 hour Ken Jee binge watch, and my first professional connection request on LinkedIn.
Thanks for being so approachable and helpful, Ken.
It is amazing how putting things out into the world can bring people together! It's an honor to have you as a linkedin connection!
Looking forward to another #66DaysOfData
I am too! Looking forward to having you as a part of it Sufyan!
Great video Ken! For 2021 I was thinking of a project that predicts the value of magic: the gathering cards on the secondary market. I'll try to combine sentiment analysis (taken from twitter) and data from online tournaments to do so. It's a greedy project, but I can use it if it works so it's a win/win haha
Thanks Hugo! And that is an awesome sounding project. I used to play Magic a long time ago and have also been contemplating doing something around the card market! Would love to hear about what you create!
@@KenJee_ds it's an interesting topic to analyse, especially now with the pandemic. If you ever return to magic and want to get a game, just say the word, there are various apps to do so using the webcam :D
@@HVjugo Very cool!
Hi, Ken! I really appreciate the content you post, you have been really helpful, thank you a lot!
I've been learning Python for DS for 6 months now using CZcams tutorials and most recently DataCamp. I already have good statistics background and will be taking soon a nice statistics course on Udacity. I think it is a good moment to get my hands dirty with projects, but I've had a hard time finding some. Where do I get DS projects for beginners?
Thanks for watching Ciro!! I recommend checking out the 3 projects that I outline in this video: czcams.com/video/8igH8qZafpo/video.html&ab_channel=KenJee
Thanks
Thanks for watching!
For 2021 after I finally have acquired enough basic skills I want to work on a Soccer project and maybe get my hands on some professional Call of Duty data.
Awesome stuff Tim!!
Merry Christmas Ken :)
Thanks! You too Lewi!
Hey! I am thinking about creating a project about a mobile price predictor(which would be my first project), and I would be following your building a project from scratch playlist. That's my project plan for 2021. Hope everything goes well(fingers crossed).
I love that idea!
Es super buena onda Ken (this guy is cool)
Thanks!!! You're cool too!
Hey Ken! I can bear your voice for 24 hours if you talk about Data Science and Machine Learning.........
Haha glad to hear this!! Fortunately, those are the topics I discuss the most!
Part to learn and classify plants in my own garden.
Sounds like an awesome project!
@@KenJee_ds Thanks Ken.. I am new to Data Science and will be venturing for first time.
Project learning and 66days of data are efficient and fun methods to learn!
Couldn't agree more! Thanks for watching William!
What was your first programming language and How long it took you to learn that?
Question to ken and everyone
Mine was javascript and it took me around 1 month (with a lot of procrastination) to learn the basics.
Python, it took a couple of months (probably 3) since I was learning it in university.
Python, I got the basics quickly. But I am still learning for around 7 months now.
Mine was python, I think I started on code acdemy. After that I did Java and C at the same time (not fun lol)
Mine was html in 8 grade, then c and c++ in 9 grade then java in 11th and 12th grade but I literally don't remember anything I have learned python now on my own 🙂
Any guidance anyone needs is here. Follow his channel and do whatever he says and TADA you are a data scientist.
Haha not sure it is that easy, but I'm glad to hear the advice is helping!
I am a Pharma professional, started learning Python and DS. And obviously looking for healthcare projects. I want to use my healthcare knowledge along with predictive analysis.
Awesome stuff!
I have been away for a while.. Good to see your channel doing so well.
Although I haven't been so active recently, I personally have come a long way since the first #66daysofdata. I was looking forward to the next one, but unfortunately I don't think I will be able to participate (I kinda got to be away for quite some time). I will make sure to be on Discord whenever I can though.
Good luck!
It happens! It was an honor having you for the first go through. The 66days won't be going away anytime soon, and you're always welcome to chime in!!
Thank you Ken! You're a source of inspiration!
Can I ask you just one thing: In your opinion is better to improve machine learning knowledge first and after move on deep learning, or study them together?
I personally learned most other ml concepts before diving into deep learning, although I don't think it has to be that way. My thought is that you should learn whatever will keep you most engaged in the field!
Looking forward to join you in the 66 days of data again. As a project, i want to web scrap the prices and data of a colombian e-commerce each day and show how the business behave as the country get the COVID's vaccine.
Sounds awesome! Looking forward to seeing this one!
best notification of the day
Thanks for the kind words Erasmo! I hope you enjoyed it!
Thanks Ken
I really hope to start this journey...my laptop is pulling me back
😔
I hope you start the journey as well. I would look more into free compute resources on kaggle and google colab. You really don't need a powerful computer at all to do data science!
@@KenJee_ds does OS matter?
When you say laptop it's helpful to know you can use colab to practice data science
You and andrew are the only CZcamsrs who reply to every comment dude just always be like you are now humble 🔥
Doing my best :). Thanks for watching Nitesh!
hello, I'm Jr Data Scientist, thanks for this video, it's very good
Thanks for watching Doston!