Jose Portilla is definitely one of the very best teachers out there. Well worth the small entry fee. In the end, if you apply yourself to the work, you will be glad that you did.
My favorite courses? 1.- On EDX - Analytics Edge (Dimitris Bertsimas, et al - MIT). Mainly based on R. 2.- On Coursera - Machine Learning (Andrew Ng - Stanford). Based on Matlab/Octave. Both free. Top notch. Basic math, algebra and programming skills are required. College level.
Just finished the first course of the 5-course specialization Applied Data Science with Python on Coursera. I must say the quality surprised me and I'm looking forward to beginning the next course. As you say Coursera is a little bit more expensive than other platforms, but it is definitely worth it. Also tried the first two courses of the Data Science Specialization by Johns Hopkins, but I don't feel ready for R yet. Nontetheless, if you have some experience with R it might be one of the most complete options out there. Thank you for your reviews!
Best way I found was Edx with a 3 part course offered by Berkeley. Accessible for people without a strong statistics background and reasonably challenging. Also how I started to learn Python and later got me into R.
Hello Giles ! I'm greatly inspired by your informative videos. As a matter of fact, i am also one of the data science aspirant and therefore I happen to be following you since 2 days but the impact that you made in me is quite noticeable. You seem to be the appropriate source of guidance as it is obvious with the information you have mentioned in your videos and I can bet that you have an unavoidable potential to inspire slew of newbies who are data science-aspirants. Keep up the current pace in the times to come and I wish you all the good luck. Thanks again
Have you tried both? Which one do you think is better? I used Dataquest and Datacamp for free and I have to say that Dataquest is more challenging and helps me understand concepts better.
You are a good teacher. Keep it up. I am following your course on 365 Datascience. I am understanding many concepts that many other teachers are not able to explain well.
Your videos really need more TEXT OVERLAYS. When you're mentioning a whole bunch of names, list them on the side. Scrolling down, searching through the many links in the description for the name you just mentioned, rewatching the last ten seconds to recheck the name, scrolling down and searching again, ... Really, simple text overlays would help! I must add: your content is really high quality and I personally like your personality. ;)
Thank you for this video. It really helps to get some idea about the path. It would be really helpful if you could also do a video on 'is it wise to go for online data science masters program lets say from Michigan univ or UC Berkeley'. It is always helpful to get some insight from experienced and someone who is already in the field.
Unfortunately the IBM one is not very good, as it’s basically all very high level (easy, not too in depth) material. It also focuses on IBM’s ecosystem of data science tools, which is limiting.
You hit the mark. Uc San Diego's micro-masters is excellent. I also recommend ColumbiaX analytics in python and artificial Intelligence course. Dataquest is excellent.
Congrats on your channel! I've just signed up for EdX course of Python Data Science from IBM. It's in fact a professional certificate which is offered in EdX. Could you give me your take on it? Thank you!
This is my opinion based on with my experience. I think data science is not a technique or drawing some graphs, but a "science". What does it mean? It is full of mathematics like linear algebra, multivariate calculus. Learning programming language is important, but that's only a practical tool. I have met many people who do science jobs, but in fact they put lot of junk x variables without considering linearly dependent or independent. Many pepple do not know an idea of span, orthogonal, and eigen vectors ... sigh ... I hope youguys do not mislead.
I must say that I disagree about the Coursera course given by Johns Hopkins University. Maybe it was acceptable a few years back, but now it is getting really old (they sometimes teach you to use functions in libraries that are specifically mentioned in the documentation to be deprecated...). On top of that, it is absolutely not self-sufficient - I was able to do the first courses only because I have been programming for years but a lot of beginners are complaining about the difficulty since lectures are often totally unrelated to the assignments. The staff totally deserted the courses (some posts on forums have not had answers for several years now), and the peer-reviewed assignments are clearly done and marked by people who just give the highest mark to about anyone, while expecting you to also give the highest mark despite sloppy work. You can see from a lot of assignments that some (most?) people do not understand much, and probably just copy-paste code from the net to get a certificate. The only positive side is if you are looking for easily-accessible yet real datasets to work on. But I don't think it is worth paying. A good idea might be to not try to get certificates, use other courses / books to train yourself, and take the 7 free days to just get all datasets from all courses and do the projects by yourself.
I have completed that course. That is vendor specific and will not teach you python. It is good for introduction for important subjects for data science but does not go deep. Thats my personal opinion.
@@liveyourlifenow7935 Hi i can share my experience! It is a good course but disclaimer it is not coding oriented. It teaches u how to analyse & manipulate data on Excel using statistics & pivot tables and teaches you to train and test models using Microsoft Azure. It is software oriented rather than programming. Nonetheless still a good course in my opinion. Not sure if they made changes to it.
I see a lot of online courses, some of which you've named in this video. Some of these say, "become a data scientist in 10 weeks" Why do they leave out that if you only take the course and dont have the correct background that you will be wasting your money. I am interested in becoming a data scientist but i truly doubt that after 10 weeks, i will be employable. The prereqs should mention something about this but none of the courses do. I dont think its helpful to lead people on about being employable. What do you think? Do you believe that after 10-15 weeks, someone would hire a fresh grad with no related background? I see another CCNA cert type thing here where everyone gets the cert and no one ever gets a position with just that cert. Let me be clear, I dont blame them for not hiring people with only a 10-15 week course, i get it. But alot of these courses say, no exp required, must have the willingness to learn and have a computer...
thanks for the insight, if you were to choose only one between micromasters from univ. of san diego California (python) or MITX(R) which would it be? Also, is finishing a micromaster like these, sufficient enough to get me hired in a starting role in a data scientist or similar without a bachelors degree related to conputer science? Thank you
Nice content to learn and also assignments are such that you apply what you have learned. I am halfway through that specialization and it is worth taking for beginners
Thank you so much, great content as always! I saw one of your video on the Udacity Machine Learning course. What is your take on Udacity Data Analyst and Data Scientist Nanodegree? Any idea how those compare to the edX/Coursera ones?
I done some courses from cognitive class which is free, like around 10 on data science last year. Then I started doing the San Diego Data Science course that you mention here. Really good, but i only done 1 course out of four i was doing it to apply to my master in accounting (but i still havent gotten a job yet). Fucking life I have even tried Oreilly media (python for finance) I did like three courses there and learned the basics of trading, etc... In my opinion, these courses dont actually get you a job. Life is not based on meritocracy, its just fierce competition
Hi Giles. This was a very engaging and informative video just like all your other videos. There is another course I have heard a lot about and it is one of the most popular courses in Coursera. It is the Data Science Professional Certificate by IBM. Could you please give your opinion on that course too?
Thanks for sharing an awesome and really helpful content in this video. If possible, could you please also suggest some good universities from where I can acquire an Online masters degree in data science?
If I got it correctly, you mentioned Udemy courses as a "cheaty" way to define whether you like Data Science or not. But what would you recommend to define it with a bit more certainty? Some project-oriented course, I guess?
Could you please make a video on the resources to learn math for Data Science. I am like confused from where to start. Everything lookes important but I don't know the proper sequence to follow..
@@gilesmcmullen Thanks. It would be wonderful if you could do it as your next video because I have started reading 'Automate The Boring Stuffs With Python' it is a very good book. So this winter I want to invest my time on Learning Python and math for Data Science.
What are your thoughts on the HarvardX data science program on edX compared to the edX programs you’ve mentioned? I am considering learning python by itself and then studying a micromasters for the certification and data science knowledge. Thanks 👍🏽
Thanks for the tips. I am an event marketing professional now considering a new career in data analytics. What are your opinions on online data analytics bootcamps offered by General Assembly, CareerFoundry, and Springboard? Are they worth paying almost $6000US?
Thanks for your recommendation. I have enrolled for the Python course on Udemy last week. But for a month and a half I have been following Coursera IBM Data Science specialization (but stuck with data visualization for over 3 weeks now) so 3 more modules to go. I had also started with Coursera Machine Learning by Andrew Ng 4 months ago but stuck with neural networks module for over 2 months now. I have a full time job as a telecom consultant which is far away from a developer and it really hurts getting stuck in these Coursera modules :) and so I have decided to pick up some books on Pandas and ML first and go through them. How would you rate these two Coursera courses that I have mentioned?
Same issue faced by me. Whenever I start I stuck in some point and quit learning or loss interests from the topics, did find any resolutions or did you complete DS or ML course ? What is your road map ?
Thank you for inspiraton and other stuff! I am self learning DS with business and urban planner background. Our DS positions require much less qualification level (I am from Belarus), so for a 6 month study I learnt python (pure, no libs) and completed all high level courses on khan academy. Now I am planning to deal with dataquest for a 1.5 month (7h/day study). If I will start build my portfolio after dataquest, is it gonna be enough for start to building portfolio and is dataquest a good solution? Thanks!
Thanks for the video, I didn't knew about the Coursera courses. A quick question: What would you recommend to a beginner that wants to learn ML and: - He is a complete beginner (0 previous experience in ML) - Wants to use just Python (not R) - Doesn't mind to pay a few hundrets or a thousand € for year to learn ML
@@TheCricketer15 Yes, I've studied programming and I have +1 years of experience. Mainly Python (and Django Framework but also I read books about Python and Django) and Javascript (Vue Framework). I'm comfortable with Python, it is my main language.
David the machine learning Stanford Coursera course by Andrew Ng is good, not for beginners but if you already have experience with programming in general and python it’s worth to check it out.
Hi mate, really love your contents. Keep going. Wanted to ask you, will employers value or consider these courses when I apply for jobs? I ask this because a lot of jobs I have been looking at state Masters or PhD in ML or data science or CS.
They're a good place to start, but you will need more on your CV. Maybe some projects that you have done off your own bat. It depends what you're aiming for. Top tier companies are going to be swamped with applications from people with PhDs from prestigious universities. Smaller companies less so. I'd try to get work experience somewhere whilst doing the course. Publish your projects on Github and keep applying. If you can find a mentor, that would be helpful too.
I keep hearing data scientists are high in demand and should be pretty easy to get a job as the power is in the candidates side. I hear it’s also well paid. Do you know what’s an average salary for DS in U.K? I hear it’s $118k in US.
I love your channel but with all due respect, I am surprised you are giving such a high rating to Coursera and such a low rating to Udemy. Having used both, I much prefer Udemy for the simple reason that I can directly correspond with the author/instructor and many of them are very responsive. With Coursera, you can only have your work “peer reviewed” - which is just the one eyed leading the blind. You will never hear back from the course creators. I consider that a very serious flaw. What do you have to say about that? Just curious
Hi! Thank you for this summary! I am a mathematician so I want to focus more on machine learning and consequently, I am checking your videos on the topic next, but just a quick question: why do you leave brilliant for the very end? It is not clear to me in which category it would sit. I did quite a lot of C++ in the past for finance mainly and always felt comfortable moving to new languages, but I want a comprehensive, yet not to basic course on machine learning. Thank you
I tend to agree. Since they have a partnership with industry experts, they are at the forefront of cutting edge technologies. Their projects are actually using real live problems and data which I find superb
I had to downgrade my course for Udemy just to get it approved. At first I argued that their requirements was unacceptable for learning Networking in the Information Technology field. It was their way or the highway. So I gave them what they wanted, and then went back, after it was approve, and put the course back the way it belonged. Nobody will force me to downgrade my product for their "so-called" best methods for learning. And the course I get for myself from Udemy are poor quality and numerous ineffective instructors. Having that $20 course from Udemy was not even worth it if the price tag is free, for most of that I have purchased. I also stop creating courses on Udemy for that reason. Those who bought my course bought a course that taught them theoretical and practical lesson in order for them to start a career in that field with no experience. People use that course to get certified in that field and use it as a reference guide when need be. Udemy's approved course was only approved when I removed all the real content. They even had me change the title of my videos because using a title like "Network Basics" was unacceptable. So I have to create titles that did not explain the content of the video and those where the type of things I had to go back and revert after the approval. Udemy's approved course would have ruined my reputation as an instructor and no way was I going to allow people who really wanted to learn Networking use my course as a foundation for their false hopes of a skillset and hinder their chances of understanding the technology for them to start a career in that field. It is that serious and me changing over 60hrs of content by uploading all the videos with the full content and replacing all the names of the lesson, gives you an idea how serious i took it. The sad part was other instructor's courses outside of Udemy are different as night and day. Meaning that those instructors cared more about the money then they did the content. That is what Udemy promotes. My last course I got was from Cisco Learning Networking Store for $1,500 and the price tag shows that I am not afraid to pay for something that is worth it. And because of Udemy, i made a habit to pay the price for knowledge because the $1,500 is nothing when it comes to the knowledge I got off that course. Meaning it was worth every 1,500 dollar bill I laid down on Cisco's lap. Thank you so much for this video and I will be checking out Brilliant today and see what they are all about.
Hi ;-) what do you think about Pluralsight? I know that subscription is quite expensive but for me it covers a lot of great, high quality content shared by professional tutors. I have already watchedsome beginner and intermediate Python courses and these helped me a lot.
Which one is better, Kirill Eremenko, 365 career or Jose Portilla's course in Udemy ? I want to learn machine learning , and I have programming skills. I want to test it first
If we do projects by ourselves, how would we find help for debugging or have others check your work? I feel that's the disadvantage of not learning in a university environment.
Hi, my question is not about the courses itself, but how to ingress at the market? I am an electrical/electronic engineer, and I'm willing to do a master degree in data science, however, with no experience in this field, I cannot find a job to do it, unless I try it through a grad scheme, but since I am 30years old, with 2 kids, I'm not willing to take a hit of £10k pounds less in my salary
Hi, did you hear about 365 data science course? Please, if you did, tell me about your impression in regard to this online platform. Excellent video. Thanks for the advices.
Hi! I know you've done an ou degree in physics, I'm about to embark on the maths and physics degree with a long term goal of making it in data science. Do you think physics would be the better option over maths and physics? They do a data science degree directly, but I'm not sure it would go deep enough on the maths side of things so I'd rather learn to code separately and have the maths and physical science side nailed down so to speak.
