If you want a free PDF of the data science roadmap check it out here : www.datanash.co.uk/

@sophylove3430

8 ай бұрын

Please what apps can I use to self learn data science

@poches8651

5 ай бұрын

Password? ;(

I've just recently finished their Data Scientist Professional Career Track and I was very satisfied with it. Indeed, datacamp is not the place where you can learn theoretical concepts. If you want to learn those, search for youtube videos, articles or go to the university at the end of the day :D. As I feel, datacamp is more about implementation of the concepts. As I have solid theoretical background from my master's studies this track was just as a quick learning how to put theory to practice using Python instead of R, which is usually used at statistical classes. So, depending on your initial goals, datacamp can be a good or a bad place to learn.

great advice. I would like to appreciate you for putting this much effort to make us clear with data camp

Thank you for you perspective. I actually find it refreshing the way you analyzed the whole learning experience. I feel like a lot of online learning is unfortunately that way, hard to link everything together. Also, I believe that's how the American education system teach. A lot of facts up front, then later the foundation, which I believe that's why a lot of kids failed. Because they keep piling on things to learn, but not how to apply it. So after a while they get frustrated and give up. In your quest, did you find another learning platform that you would recommend? I appreciate your work.

As someone who spent 80 hours on the Datacamp course for data scientists, I can relate to this video. It only helped me because I work with R and SQL for my job but most of the knowledge I obtained is lost due to some of the reasons you described. Then again, that happens to most knowledge that is obtained but not used, right?

@datanash8200

Жыл бұрын

100% now that I actually "know " data science DataCamp becomes more useful cause I can look up specific things I need to learn.

@oluwakoyaenoch4820

Жыл бұрын

I'm using datacamps resources and also auditing some of Andrew Ngs ml and deep learning courses so I have a grasp on both the maths and syntax... I'm seeing improvements

@benhalsall4120

6 ай бұрын

@@oluwakoyaenoch4820 I imagine you finished Andrew’s course, would you recommend it for a complete beginner?

@oyeleyeolalekan4486

6 ай бұрын

I understand what you actually said. I still subscribe to DataCamp now because of some codes I can use.but in terms of learning, your video was spot on

I've never used DataCamp, but I recognize what you're saying about learning things in a "vacuum". The concepts just don't stick that way. Nothing beats real-world practice, working on actual projects.

@datanash8200

Жыл бұрын

100% being able to learn in context will just boos learning soo much

Thanks for this video. I’ve been trying out datacamp off and on for a year in the hopes of going into data analytics from my current, non-tech job.

Thank you for the video. You are spot on, but it's not only DataCamp that has this problem. I'm trying to transition into Data Analytics, but in the future, I don't know if I'll bleed over into data science.

Some of the problems described can be solved by working with projects related to the course material (a longer, larger assignment with analysis of some data sets, etc., from start to finish) and then entering competitions. I use DataCamp with some programming background and it definitely helps. Overall, nice summary!

@datanash8200

Жыл бұрын

True, once you have context Datacamp becomes very useful

@benhalsall4120

6 ай бұрын

What do you mean by entering competitions? How do I find them?

@pedrockc

3 ай бұрын

I'm very comfortable saying the same about the context for almost every degree and course I've ever attained. In my experience, the academy rarely provides updated context, making an autodidactic spirit necessary. The vast majority of my learning happened outside the class even when I was studying in the best colleges. That is how I think Datacamp, or any course to be honest, should be aproached. Although there are courses in the market that offer good projects to apply concepts, most of the time, they provide clean datasets free from real-world problems. I don't think it's realistic to approach any course with those expectations. Instead, we should take responsibility for this ourselves and be more intentional with our studies @@datanash8200

I have done a lot of online learning across a variety of platforms. In almost all cases, you can roll your way through the material only half paying attention and still finish with the cert. It's important to try hard to really pay attention as you go and genuinely learn the stuff though. If you have your own work or projects to do on the side in addition to the online learning, it makes things a lot more meaningful, and the content will still better. Just my two cents.

Here's my experience with it so far. I've spent a lot of time developing proper study techniques, and learning how to learn. DataCamp works REALLY well for exposure, and showing concepts that you should learn. What I'll do is do the exercises, practice them, and write down the concepts. After I'm done I'll take a random DataFrame and start using the skills they taught in a HANDS-ON project. If you start with the right courses, they DO explain topics like libraries, but there is a lot of assumed knowledge. There are ways to make Data Camp work well for you, but if you're truly a beginner, chances are you won't learn it the way you should. I already had a lot of my study methods planned out, and had a lot of understanding to begin with.

@datanash8200

Жыл бұрын

That's some great insight, and I 100% agree. Now that I know the fundamentals of data science data camp is incredibly useful, but as a true beginner...

@adamwalters4373

10 ай бұрын

Agree as well. Im currently a beginner/intermediate with the programming stuff and I just started to see that you'll actually learn from doing projects outside of lessons or problems within the courses. Just completed my first project through DataCamp and it was actually time consuming given how quickly I got through a few courses in the SQL fundamentals. I also agree with you that its not an issue with DataCamp as I came from doing some courses in Coursera's Data Scientist Cert Program and felt that DataCamp has done a way better job with introducing concepts and allowing users to practice it. I plan on doing what you have spoken about in terms of downloading datasets and practicing bits of things I learn from the DataCamp courses on them as I progress. I know it will be tough because I've tried it before but gave up too soon because I didn't get the results I wanted instantly. But I think understanding that in the realm of Computer Science and many other things in life, there will be a lot of failures and confusion on the journey to get the results, but with enough time and practice the results will come through and I'll be thankful for the learning experience and improvement gained from it

@slater-cguy

6 ай бұрын

I'm doing it this way too, especially using Anki flashcards and working with the datasets locally with jupyter notebooks or just typing into notepad. Having great results, but it requires a lot of dedication and patience. just going through the courses and working the exercises wont be enough for retaining the information

i have been using DC and you are right, but it is really good place to start the solution is to work on personal projects and rewatch videos to understand concepts overall a 7 out of 10

Thanks for your candid review, Data Nash!

I really like your analysis it is very insightful and truly reflect some of the loopholes in their courses but I would say your course selection wasn't too ideal if you didn't have any prior experience about the data analytics you should have choose the data literacy track it will help you make your fundamentals strong and when your fundamentals are sorted you can easily grab the practical and theoretical concepts quite easily. And I can assure you DataCamp user interface is one of the best in the industry because I have done some courses on Udemy and Coursera they are too tirelessly long and sometimes irrelevant as well so it's very hard to keep focused and motivated throughout the courses.

Bro that was ridiculously on point. Went through the same shit a few years ago. But like u said actually find it useful from time to time now lol

@datanash8200

5 ай бұрын

So weird that it becomes amazing...once you actually know data science

As an aspiring IT professional that wants to get into data, this is refreshing to hear from another person about their struggles in self-learning. I have feelings of regret for using online resources such as data camp to learn data as a way to teach myself only to end up hitting a dead end the moment I had to start creating my own projects. I spent nearly 5 months on this and it definitely feels like I wasted my time since I am planning to get into a more generalized IT role such as help desk instead of getting into data right away just to get my foot in the door in IT. I wish I did this right after graduating from college if I had known the competition for entering data science is tough.

I would suggest some Coursera courses that I feel really address the problem. Google's Python crash course. A single course. You learn the concept and go the exercies and bam. A task that requires so much thought(at least for me) that uses a simple concept like a loop. Even though I took this course after an entire Python specialization, I felt like it solidified the ideas more than that entire specialization. Python 3 programming specialization by Michigan University. Again it addresses the problems you talked about. After learning the concept, you go to a lab where you do like 10 different exercises on the subject. I would recommend that people take these courses/specializations because they greatly helped me with learning.

love this video!

What do you suggest instead of Datacamp? Thanks

Hi, I hope you read this. I love the way you are progress on your journey. I am first year CS undergraduate and I aspire to be data scientist/ML engineer. I would like to let you know that you are one of the most relatable youtubers in the field of data science as I feel that you had a journey similar to the one we'd probably go through. I promise to stay here and see your journey and keep you updated about mine as well!❤

@datanash8200

Жыл бұрын

Thank you Akash, means a lot. I know you'll make it as well!!

Great explanation as always 👍 You've actually summarized a common problem of similar websites&apps. Most of the time, you feel like you're learning stuff but you actually don't, and you're still coming back because of the feeling gamification creates. We all wish for a simple and enjoyable way to learn stuff, but in reality putting the hard work is the only way to improve oneself. It also gives a satisfaction in the end though, so it is worth it I guess :)

I never used DataCamp, but almost my entire AI/ML/DS curriculum was self-designed and done through Udemy. The courses I took combined coding, theory and projects in a way that not only taught me what to do but why I'm doing it. Thus, I actually use the materials learned on my job. My first machine learning project at work is made up of code snippets Frankenstein-ed together from various projects from those courses. I'll always plug Udemy or at least the specific courses I took. They literally helped me switch career paths.

@datanash8200

Жыл бұрын

Love to hear that man. Any particular ones you recommend??

@bin4ry_d3struct0r

Жыл бұрын

@@datanash8200 For the beginner to junior level student, I'd recommend Machine Learning A-Z by SuperDataScience. It's a 40+ hour bootcamp-style course taught using TensorFlow. They also have a few curriculums made up of 5-6 individual courses depending on the direction/career path you wish to go. If you want a deeper understanding of what goes on behind the scenes of ML libraries, I'd recommend anything by Lazy Programmer. Do not let the name fool you: his courses are anything but lazy. I'd recommend anyone to brush up on calculus and statistics before taking his courses or you'll likely get lost. His deep learning courses will have you coding neural networks from scratch, not using TensorFlow or Pytorch, although he does have high-level courses dedicated to those libraries too. Again, LP courses are not for the feint of heart, but boy do you really learn if you can push yourself through them!

@bin4ry_d3struct0r

Жыл бұрын

Also, it's pretty much an open secret now that Udemy has flash sales that last from one day to a whole week several times throughout the year so you can purchase a $200 course for like $15. I have never once paid full price for any course except a few that are not subject to sales discounts. If you miss a sale, don't worry -- there'll be another one in a few weeks. You also have lifetime access to purchased courses, so there is no subscription fee unlike with some other platforms.

@reygaji4001

Жыл бұрын

Could you pls share your curriculum? Thanks

@bin4ry_d3struct0r

Жыл бұрын

@@reygaji4001 My curriculum consists of about 30 courses, and I found out later that I really didn't need a number of them. If you tell me in which particular direction you'd like to go, perhaps I can better tailor my response.

Thank you for such a great and informative review. I would love to hear your opinion on DataCamp’s competitor Dataquest. They attempt to address some of DataCamp’s problems.

Your content is the best right now brother.

So where do you recommend for learning the basics

Good day nash! I have a question, how do you beat the afternoon slump if you have it and feel it someway?

@datanash8200

Жыл бұрын

I'll make a full video on his for u very soon

I like how you analyzed this.

I get you thanks for putting all these into a video I am seeing this now where I am at the stage just having complete my career track and making my portfolio I agree with you that datacamp is not nearly enough for a noobie I have so much trouble with my portfolio now 😅 there is no fill in the blanks for a portfolio project only googling and finding your way around in stack overflow and some KZread videos. I find myself having to supplement my learning through other various courses in udemy and Coursera so my entire journey of learning something is not 3 months as datacamp promised but 6-9 months in reality 😂 I went down a rabbit hole there is no way back and I am still hoping to land my first job as a data analyst associate one day

This just made me subscribe to the channel.. Probably one of the most honest videos I’ve seen on KZread .. 🤘🏾 .. I’ve spoken with countless coding bootcamp recruiters … they all sound like they’re reading from a transcript 😩.. Been playing around with python since November of 2022 .. haven’t made any significant progress .. went down the rabbit hole of ML (deep learning) and became obsessed .. I have 61 tabs open on one screen and 23 on another all related to Python , Linear Algebra and Machine learning.. OBSESSED OBSESSED!! 😩.. but I’m stuck and I really enjoy exploring kaggle datasets .. I would love a road map, specifically for internalizing Python .. I really want to lock down the syntax and how to “think programmatically”.. as a solid foundation in Python, I’d flourish in the machine learning field.. I get the concepts (struggling with math) 😂.. I appreciate you sharing your journey.. very inspirational..

Great video! what do you think is the optimal way to learn ML and DS concepts before doing projects because you need that initial knowledge before you dive into kaggle and real world projects

@datanash8200

Жыл бұрын

Absolutely! Just check through my channel and look for "how I would relearn data science in 2023"

I just started learning HTML and CSS. When I see the code, i can tell what it does. When i see a test question, I can easily know the answer. But when it asks me to write a webpage or a form from blank, I have no idea where to start. All of a sudden i just can't remember the syntax, elements, attributes and so on...😮‍💨

Hey! thanks for sharing, Nash!, i do find your insights were insightful, however from all the cons you have mentioned it lead me to think, there must be sort of way to keep our knowledge relevant to the practical real-world problem, which you haven't mentioned or talk about it enough in this video (or you have in another video), I still somewhat blind to this field and just start learn it few months, taking my journey far away and decide to put an investment still a bit shaky to me, if a single learning sources wouldn't help me to get my way to a job, then how could i really do it? i need resource and advice on this, like how do i keep my knowledge applied and relevant to real-world cases, how to practice and where to, it's just so many gaps of question that makes me doubt to walk it through, Hope you catch on this comment, looking forward for your answer.

@datanash8200

4 ай бұрын

Thanks so much for your comment and I understand your concerns. I recently made this super in depth video it will explain everything you need in this regard - kzread.info/dash/bejne/aHispMOpmNnHoJc.html&lc=UgyFeXBqhtrx-5Iq4gZ4AaABAg

DC is actually very good if you have the right expectations. I wanted to gain familiarity with the topic of data science and some of its specific tools. And I'm pretty satisfied with the structured learning path. I already have many yrs as a pro developer, so I get a lot of mileage from an overview. In my current job, I'm already applying the things I"ve learned.

What you think about mitx micro master program?

subscribed!

Interesting take. However, I do think like most learning, the key is practice practice practice... Datacamp provides the basics, if i may. On that foundation, you build.

@datanash8200

Жыл бұрын

Love the different perspective

Thanks for the valuable information. I’m deciding between datacamp and codeacademy. I’m 41 years old and want to become a data scientist, as I don’t have any portfolio I want to be able to do it while learning. I have the math foundation as I am an actuary, what is your recommendation?

@user-fr8zl8km1q

9 ай бұрын

By the way I already have your roadmap thanks!

@taetaesblessedhands1635

Ай бұрын

how are you doing now? i come from an actuarial background but trying to transition into a data science role, so i'm happy to see someone on a similar path :D

Man, 30h in, I believe you just saved me a good two months!

It does a good job of teaching basics. After you learn the basics you need to find ways to apply it like making your own mini project.

Good analysis, then what is the best approach?

What did you get your bachelors degree in

Im thinking about joining datacamp, i got what you meant in the video, i know the basics of DS so i do feel it will be ok for me

How I wish this was available about a year ago when I was thinking of Data Science. I wasted a whole 8 months I had free on my hand.

@ELLIOT8209

8 ай бұрын

What did you end up doing?

thanks for the feedback man

Your point on feeling good but learning less is very true. I am facing lot of challenge learning Python. Wish some one could guide me what approach I shall be taking

@datanash8200

6 ай бұрын

Hey man, give me more detail on the problem. I will try address this in a video

I think data camp is for me, I have a strong understanding in python and sql, just need to data engineering on it, and practice practice, as a student its only £11 a month as well

Datacamp is great, just that one must have never giving up spirit and one shd start from the simplest

Can anyone recommend which youtube channel or website that I can learn python for data analysis as a beginner?

@datanash8200

11 ай бұрын

Neural nine is good for python tutorials

@ruheenahmed4043

10 ай бұрын

What about SQL?

@haitibeauty101

2 ай бұрын

Try Programming with Mosh or Alex the Analyst

Sql is database. All you do crunch numbers with python or power bi. It's probability a d trends.

I prefer that you make videos on real-life projects and show us how you do the job. Thanks

@datanash8200

Жыл бұрын

Coming soon 🔜

I really dislike datacamp. Springboard bootcamp really relies on datacamp. I hate it. I learn more by just doing projects alone.

can you do projects walkthroughs, that would be very beneficial

@datanash8200

Жыл бұрын

I have 3 planned coming soon. Just need to finish my dissertation first

If youi want to write a novel, you can't spend all your time reading grammar books. But that's how many online courses are constituted. The courses should be made up ONLY of projects, progressing from simple to complex (you can learn the rules and syntax as you go), so you get a better understanding of how to code in the real world.

Keep going 🎉

@datanash8200

Жыл бұрын

Thanks Aman!

Hi Nash Which masters did you do and which institution?

@datanash8200

6 ай бұрын

Data Science & AI university of Liverpool

I feel like datacamp is a good tool if you know like the basics of why they do some things

sounds like DataCamp helped your confidence

Its good for learning concepts

Sir can you help to access datacamp course because i have financial issue . Because for instructions it is free.

Personally I really like Datacamp, but it is true that is so easy so you are not going to learn anything in the easy way I decide to use it as a guide to learn the concept and always make the projects with unguided option, that's the only way I will be forced to research a little bit so I get filled my learning holes, also I don't really like that they teach you a lot of ways to basically do the same thing, I mean, I understand that they want you to know all the available tools but, how would I learn that one specific tool is better than another if I never felt difficult to use a first tool at the time? That makes a real flat learning sensation Sure I first did some other Python courses so I know the coding basics

You've broken me down. 😔

Really glad I found your video. I got the Datacamp ad and jumped on their website to see what's up and I thought it looks pretty decent, but from previous experience learning on Codecademy, I was hesitant if the teaching method will work for me. This video sort of confirms to me that it's not for me. I work in Digital Marketing and Digital Analytics and have increasingly gotten more interested in the data side (especially building stuff and fixing stuff, generally just solving problems around digital business. So, I thought I'd support my learning on the job with some education, but I think I will go the path of doing a Master's in Data Science since there they usually go through the theory pretty well too. I have a bachelor in business, so it's not data-related, but I think I will be fine. Oh, and I also bought a book called Learning to Code With Hockey which has Python and analytics in the subject of hockey (which I love), so might read and study that before the master's degree. Damn long text, sorry to anyone who goes through the trouble of reading it 😄

Bro please start data science course

@datanash8200

Жыл бұрын

🔜

DataCamp taught me to be proficient with Python, but the rest is up to you.

@datanash8200

Жыл бұрын

Definitely, gotta keep self learning as a data scientist

It's a "You" problem if those concepts didn't remain in your memory, and also that's why they have worspace with somehow a large number of datasets for you to practice the new knowledge you acquired.

i'm a data scientist and learned from datacamp u can't just watch the videos and do the exercices and wish to remember all that shit u need to practise everyday and they got that also so please stop with the click bait people can se ur video without even watching it and decide to pass on a great plateform

You are 100% responsible for you learning success, stop finding excuses. You would have learned the concepts, if you apply it on a real project besides learning with DataCamp.

Relying solely on paid courses, whether from platforms like Datacamp or traditional universities, is a flawed mindset. I'm an MSc in Computer Science student with the goal of obtaining a professional certificate for job interviews. However, the true essence of learning emerges when you amalgamate diverse information sources, such as journal papers, KZread videos, online lectures, Udemy courses, and more. It's through assimilating techniques from these varied outlets that you can embark on authentic learning experiences, culminating in the creation of your own projects, such as interactive websites or mobile game apps.

@datanash8200

6 ай бұрын

Summed it up PERFECTLY

I should have seen this video earlier. I just subscribed to datacamp and beginning to regret it already