Give Ben some extra motivation by sharing your learning goals for the year below! Links to Courses Mentioned: My Course (New Year Sale): 365datascience.com/learn-machine-learning-process-a-z/ 365 Data Science Annual (New Year Sale): 365datascience.pxf.io/P0jbBY Kaggle Micro Courses (Free): www.kaggle.com/learn Github for my course (Free): github.com/PlayingNumbers/ML_Process_Course
Brief: 1. Don't Start at the beginning 2. Don't go in without a plan 3. Don't let perfect be the enemy of great 4. Don't get stuck in tutorial hell 5. Don't keep your work to yourself 6. Don't ask for help 7. Don't give up
As someone who has completed 100% of every Udemy course I started, I'll also advise to not fret about taking multiple courses on the same subject. Many topics, such as statistics, can be taught in half a dozen different ways, and the way they're taught in a new course could convey valuable insight missing from old ones. However, also do not make the same mistake I made and just take course after course (i.e., tutorial hell) because AI/ML/DS subjects run deep, and you can keep going down rabbit holes for the next ten years and still never learn everything there is to know.
I've just recently discovered my passion for data science as an economics graduate. While my statistics and math bases are pretty solid Im totally lacking on the technical part (just started to learn Python). I discovered your channel not long ago and Its absolutely amazing how much your videos helped me finding motivation and guidance through this difficult journey. My aspiration is to become a data scientist, I know it's a long path, but your experience and advices never fail to give me the confidence I need. Thank you for everything you're doing man, I greatly appreciate that as a senior data scientist you spend your time and effort to help newcomers like me. Keep it up bro, you're doing a great job ❤️
Hey Can you suggest some ways to get my basics right i.e maths, stats I meant to say what you got is where I am lacking however my technical part is bit sorted
@@spunky1682 The best way to acquire those is through college. If you have the chance you could attend some basic statistics classes in your local university or search for some online course on the internet.
@@luchard6374 Hey currently I'm enrolled in a college which is 4yr program BS in data science I'm in 1st year Here they're going through maths n stats from 2nd yr onwards they'll start python, ML, PDSA etc but talking about 1st year it is rigourous and is quite tough for me I am coping up just want to see a larger picture ffrom you how much these things will effect at the end.
Towards the end of last year I decided to make the switch from education to data analysis. It’s been a grind along with life coming in the way, my studying has staggered. I’d say my goals for this year is to finish my certification and land a job as an entry level business/data analyst job. I’m still going over materials and have to admit, I’m nervous to start my own project. Since I’m not sure what to do or how long it’ll take me.
This is a really informative and entertaining format, love it. Thanks for the video Ken! My goals are now to figure out my niche, build some projects and start applying for roles
it's so rare to have wisdom shared and so underrated. We really should appreciate more of the mistake's and realized we could learn a lot from it. Learn from it to prevent these mistakes from happening of course.
I have failed quite a lot of interviews and therefore would like to look back to see what was wrong as well as to find fresh motivation in the new year. Thanks a lot Ken and Ben!
I started watching Ken’s videos roughly 2.5 years ago while I was still working retail. Now, I am a Senior Data Analyst working for a large energy company making 6 figures annually. Thanks Ken! I forgot to mention, I participated in Ken’s first 66 Days of Data challenge too!
Obviously you are american, there is no way you would be a senior data analyst with 2.5 of experience winning 6 figures annually anywhere on this planet. Consider yourself lucky to be born in USA
@@rafael6693 I was not born in the US. I also got my master’s degree in DS during those two and a half years. English is not my first language. I paid for all of my own education and I also worked as a Technical Project Manager before landing the Data Analyst job. I also have a GitHub profile that my employer viewed beforehand. I am lucky because my parents sacrificed their businesses, family and entire lives so we could grow up poor in the US instead of living lavishly in a third world country. You jumping to conclusions is not cool. You’re lucky that I have too must respect for Ken’s comment section otherwise, I would’ve been considerably more aggressive in my response.
hey ken do you think that taking courses on how to do projects is beneficial? because I'm in my first steps in learn data science and I don't have a clear vision on how to do projects.
I spent all of 2022 trying to get a job as a data analyst or scientist (despite having qualified experience, skills, etc.). At best, I improved my resume, got better at interviewing, learned skills, and earned a Microsoft certification. I am better prepared to continue trying in 2023.
Hello everyone, I’m starting out and just learning data science and analysis. By the end of the year I really hope to learn a lot and hopefully land a job in a space or car related industry.
I've been learning python for the past month now and I made some decent progress. I've started to exprole some of areas that python is able to used in. I originally started off my python learning journey to become a software developer but I recently became more interested in data science. My current goals are to get comfortable with python, SQL, and to build my own website/portfolio with django. I recently found your channel and I can see myself being a frequent viewer from now on, keep up the great content!
Your videos are awesome. I would appreciate your opinion on whether you think a bootcamp is a preferred method of learning DS fundamentals, or if I would be better off using less expensive classes that cover the same material? IMPORTANT: My employer is offering to pay for a bootcamp, so that's my main reason for considering one (if I were paying myself I would probably not entertain a bootcamp). I guess I'm asking: "Do you think the structure and material organization in a bootcamp would be significantly better/faster for learning DS fundamentals?" If not, I'll save my employer some money and they'll be happy about that. Also to your point in this video, I can probably create a more individualized learning path for my employers specific needs outside of a bootcamp. Thanks again for all your awesome content!
Thanks for watching! This is a good question. Generally, bootcamps are aimed at people trying to land a job, they are aggressively paced with a good amount of resume/ job focus +networking. If you can find one that is a bit more self paced and has less emphasis on landing a job, I think it could be worth it. Generally, I think online course options are quite good and cheap with the same info. I have a discount code in the description for 365 data science which is the one I’ve made courses with, but most of them are solid. If your employer is willing to pay, I would also consider an advanced degree. This probably has the most long term upside, but would take quite a bit longer. Hopefully this helps!
Hey @Ken Jee i already asked this in your most recent video but thought i would ask here again. Can you help me with this question. I feel like your the most knowledgeable person to ask this. I am a recent graduate in Computer Science and want to instead go into Data Science instead of the traditional Software Developer/ Software Engineer career. So as someone like me who eventually one day wants to work in data science industry, is there an entry level job role that one can apply as a starting point and just get promoted/ level up to a data science in time rather than just trying to apply for a data science position from the get go? I dont mind starting at the bottom and working my way up the ladder. If anyone else can help with this, it would be greatly appreciated.
@@KenJee_ds For the last 3 weeks I have been working on a lot of x-ray and MRI data available on Kaggle. The performance of my models are still very low. I'm still trying to get a hang of it.
Hi! Thanks for the video. I’ve also been pretty stuck in my progress at landing a Data Science job. It’s hard trying to work on projects while also taking rigorous classes at school. However I am planning on working on a Data Science project about poker analysis and creating a poker bot with neural networks if anyone is interested in working together!
What do you think: I want to learn data science to be able to solve some problems, especially in my continent(Africa). And I want to be able to build revolutional product. However, I don't know yet what product I want to build or what problem I want to solve.
My college has a Lab that I joined and that got me into an amazin internship where I am able to be both a data scientist and a data engineer in order to better grasp my interests as well as getting paid very well. I was very unsure of my future until about 3 months ago so keep going guys, the harder you work the more luck will come your way
Hi, Thank you for the info. How did you manage to combine both DS & DE roles?. Don't the companies usually have separate roles. How much of an increase in salary compared to separate roles?. Is the working hours affected by the combines role?. Thank you.
@@RJNair129 How's it going! I am an intern so I am not really a Data Scientist or a Data Engineer. My internship is focusing on both roles Data Science and Data Engineering. Some days I will work with the Data Science team and some days I will work with the Engineering team. It isn't a big company, 5 Data Scientist and 3 Data Engineers then me lol, my official job name is "data fellow". Hope this answers your questions.
Thanks Ken for the advice. I have learnt so much from your videos. I stopped for sometime. However, i have a goal this year to finish more than 5 projects if possible. Does anyone here works as a Data scientist in real estate industry? I need some help
Didn't want to watch the video,but I'm glad I did, thanks Ken for the advice, I've self reflected and pointed out the mistakes I made in my data journey, this video has proved the solutions, hopefully I use at least 70% of the advice given. By the way my goal is to get a job in marketing analytics this year !
Thanks for the fun video. “Ben” is a hoot. 🎉. For your audience out there, I would like to add that becoming a data scientist is a journey, and it can be longer than you expected. Length depends on your prior knowledge and your goal post. Also, expect to modify your goals along the way. If after 6 months you can’t make any progress, then you can revisit your goal. Some percentage of people who try will realize this is not for them or that they have minimal aptitude for it. That’s perfectly fine and normal. Your efforts to study Data Science will still be useful in any other field you go into, since some familiarity with AI is becoming a necessity. Otherwise if after 6 months you do see yourself making some progress, then great. Make a small course correction based on what you have learned, and set your next 6 month goal. Repeat until you land a job. Then repeat some more as you advance in your career. 😊
Great video Ken. Thank you! I do have a question. At the 3:29 minute mark, you mentioned about cluster analysis technique being used in the food industry. Is there some sort of a reference article that lists all the different techniques and the domains that they are heavily used in ? Thanks
To be honest, that was just a hypothetical example, I should have clarified in the video. Sorry about the confusion there! You can usually find the relevant techniques for the industries if you read blog posts related to the industries at hand. Unfortunately, there isn't one large reference article
That's such a funny example. I have a BS in food science and getting my MS in data science now, and I am in the same boat of wanting to do data science for a large food conglomerate just like Ben
As you were saying about tutorial hell I just realised that I am stuck in a road map hell. I've been watching many road map videos on yt, and still don't know where to start. Everyone says maths is very important and I am afraid if I can take it or not. I am not that bad at maths but still I am afraid that what if I won't be able to learn it and wouldn't that be a waste of time.. There goes my dream of growing a career in machine learning. Btw I am good at programming and that's the only reason I have to learn machine learning.
I kinda think you can avoid the math till later (probably not helping). My best advice is to go on kaggle and do the micro courses there, then start doing projects as quick as you can.
@@KenJee_ds Thnx for the reply man. I am not complaining about learning maths ( I will learn it ;-) ) but I do wonder if these data scientists and machine learning engineers use calculus and stuff in daily life. Don't they have libraries that would do the job?
As a senior college student do you think a masters is valuable to land a job in data science? At least my plan is to fo a masters in a specific domain or an area of Data Science like Machine Learning (since my major is Data Science). Ive seen many opinions on the topic but i would like to know you view on the subject. Btw thank you for your videos, they were what inspired me to pursue Data Science!!
I would advise against a masters. I would recommend trying to land a data analyst or swe job first and learn skills while you earn. If you want a masters, try to get your company to pay for it
@@KenJee_ds The thing is i think im not ready for the job market. Even though i have some experience from working in a Junior Enterprise and in February i will be a research assistant for a project in my college i think i need to learn more in order to have skills for the job market. Knowing this i decided that maybe doing a masters could allow me to not only apply my knowledge in a domain (depending of the masters) but allow me to learn more. I find it hard for me to land a job right after i graduate so idk what to do
Hi, Ken. I have few questions? 1. How to show my tableau, powerbi, excel project? I meant How do I show recruiter my powerbi and tableau project. 2. Do my project need to be an end-to-end project where I should be using a single dataset showing data manipulation using SQL and then export it to tableau or powerbi for creating dashboard. Is it okay to have SQL project, tableau and powerbi project different from one another. 3. I have difficulties while solving complex SQL queries. I need lot of time to solve complex queries. In beginner level role, how much complex queries I need to prepare for interview. Do interviewers ask complex queries to solve in live interview or give complex queries as task or assignment to solve? 4. how do I know I am ready to sit for powerbi and tableau interview? I meant how much do I need to know about powerbi and tableau to sit for an interview.
Hey! (1) You can showcase them on tableau public and provide links in a personal website to them (2) They don't need to be end to end. Having one at least one end to end is a bonus though (3) That really depends on the question. I would look at interview query, strata scratch, or data lemur for some practice on sql (4) You will never know if you're ready till you try. I recommend going after them before you feel ready because it is good practice.
That's exactly what I needed to get my learning path a little bit more structured. I really struggle to give an estimate of my skills to land internship/junior position. For example, what should I know and be able to do in SQL to be junior data analyst? I have learned how to use joins, subqueries, CASE and other basics but I don't know is that enough for entry position and I should focus on some other skills. I would be really pleased if someone can advise on this :)
Honestly, that is probably enough for an internship. Most people find after they land the job they learn a huge amount. There are also some pretty good services for practicing sql like stratscratch & dataleemur
I'm currently at mistake 4. I'm using resources to further my skills and touch up on my learning, but haven't the slightest clue on where to begin with a project. 😮💨
I'm no spring chicken and I feel dipping into Data Science at my age might be brutal, but I'm giving it a go. It's either move with the times or step aside and watch. Thank you for your videos, you might see me pop in once in awhile.
I know it says don't start from the beginning but what if I feel like I need to brush up on my foundations with linear algebra and statistics/probability?
Damn it's been almost 3 years since I came across your channel ! I am so excited for you to impact even more people 🌻 (and strangle Ecstasy in Jiujitsu he'd like it)
The tutorial hell is quite real! My goal is to be able, in a year from now, to feel capable of landing a job as a Data Scientist. Preferrably on something related to language processing, due to my liking of languages.
I’ve got #6 down solid! 😂 I hate asking for help anyway. Even on StackOverflow, I find answering questions an extremely good learning experience, but have not asked one question yet. I have difficulty with number #1 because my goal keeps changing. I keep finding more things to study. So my new year’s resolution is to stop changing my goals, finish my projects, and find a job with my current skills this year!
i love the video, i think it is a unusual video because the most youtubers make videos where they explain them would learn in the currently year, abd you give us advices to avoid the wrong ways to study in this field, thanks for the video
Hello to Ben from me. Took me a long time to even settle on data science as the career path and my goal is to build a career in research. Right at the moment research doesn’t feel plausible to get a job so I am tackling finance to get into data science in financial industry. Hope it works and wish me all the best 😅
Not really, it was just another line on my resume. They did have some scholarships and stuff that could be nice though. If I recall it was free and you got to wear another chord at graduation, so I figured I might as well do it.
Hey Ken This was really a motivational video on my side. I am actually based in Africa, so can I learn the field of Data Science completely for free through an intensive 8 months program established by me and land a job abroad in the field?
Can you make a video on the best resources to use for beginners in python that are trying to make their way into data science? This would be very helpful to many I'm sure
Hey, Very nice video and that is what i believe that self-learning is important rather than relying on someone all the time. I have one question, as I am learning data science & working on projects. I am good at coding & ML but when it comes to present the analyzed data like i am struggling to present it or understand real insights of it in a better way which is the most important, can you suggest any video/website or anything that can really help me?
@@KenJee_ds oh ok the reason I ask is because I’m going to go through a coding bootcamp but it’s for full stack in JavaScript and wanted to know how difficult it will be to do data science
