Dataquest

When i decided to get into the Data science, now the question is from where to get trained.
Live interactive training
Online interactive training
Online video based training
Interactive read and practise training(Dataquest)

I tried different ways above Live interactive is vary expensive , which is schedule based.

Online interactive I tried attending for few demos which did not suit me as 100's of people join where my question's are never answered ,

Online video based training i tried with Udmey with sample course , though i could understand but never got that motivation.

when i keep searching for alternatives , that's when i found Dataquest/Datacamp. I'm not sure how Datacamp is but glad i choose Dataquest. I wanted to try for the
basic course in Dataquest first t...

I first tried Dataquest's first free courses on python to see if it is a good fit. From the first few lessons, I knew I want to continue using them. They manage well to explain not only what you have to do, but also why. Something I missed in other places where they just tell you to use a certain function without a context. After each course, you get to do a project with a goal but without usual help. This helps to apply what was learned in previous steps.

Lessons follow each other naturally and it feels that someone really put a lot of effort to create a seamless experience. Other things I liked: they always provide a link to original documentation, have hits available if you get stuck and need just a little clue, active social community ready to help and of course very responsive ...

I haven't completed even the Data Analyst path yet, but I really like the approach of making you program to learn. Some missions needs for you to get familiar with the imported libraries by yourself, which means learning to search for solutions when needed. Being a computer engineer away from the area for 10 years, I wasn't very familiar with Python, but the hands-on is making me learn really fast, and getting addicted to it too! Also, the "spam" e-mails they send are really useful, with selected Data Science news and tips, and their support is also very ready. So, I feel like my money is being well spent and I truly recommend it for those that want to learn Data Science.

Я пробовала курсы дата аналитики на codeacademy, datacamp, coursera - dataquest оказался самым удобным вариантом и очень недорогим.
codeacademy - все время выдавал ошибки, поэтому обучение стопорилось
coursera - обучает через видео лекции, это не совсем эффективно
data camp почему то показался скучным.

I would recommend Dataquest to those who need to get on track of data scientist with the shortest time. It only takes you 4-6 months to complete the data scientist path and you are capable of publishing your work on Github and understanding what folks in Kaggle or other communities are doing now. Even with super busy workload from my company, I completed the course and am now able to do some data analysis work myself and know where and how to further sharpen my data-scientist skills!

If you are still a student and have unlimited time to study, then I would suggest to go for datacamp or other MOCC. The course depth and broadness are quite different.

I experienced a couple courses of Data Science with Coursera and other platforms already. It was hard and sometimes I was lost. After having found DataQuest it changed. I am with DataQuest now for a year and it is just great. Great exercises, quick response from the team when you are stuck. A very important aspect for me is that you have full access to the data you are working with. Meaning that it is no problem to download it and work with it on your own with Jupyter on your own machine. With other course providers I got sometimes the impression that the exercises they offer only work online and you often have no chance to download the underlying data. If you can download them through GitHub or private sources it is not said that they work as expected. Downloading the data from DataQue...

It's basically code academy but with more bugs. Some lessons are great and some are just not explained clearly or the 'mission' has bugs that make it very annoying. Sometimes they ask you o do things you haven't learned.

Dataquest is an amazing platform. I've been using Numpy, Pandas, Matplotlib for more than 2 years. Dataquest helped me to get a deeper understaing of this libraries, how they work, what they do in the background. Working with matplotlib can be really problematic, if you start it on your own (Constantly searching for stackoverflow questions, haha). Dataquest collected all the important information about matplotlib, so now it takes much less time to use it :)

When I first started looking at ways to learn data science I felt completely overwhelmed by all the possibilities there are out there. I wanted to do them all. However, I found it very difficult to keep up with all. Dataquest is an incredibly complete and organized way to reach your goals, with an amazing support team. On top of everything, you'll never be bored by having to follow endless videos and you work on projects to add to your portfolio (all at you own pace).

Dataquest is amazing, the reason why I love it, is because it forces you to learn by doing. I get bored easily from the video courses // lessons out there, also I'm busy with my job, and my life, so watching videos at 1.50x speed is not ideal. In Dataquest you can easily, open your computer in a free time you have, read the lesson, and give it a try, debug your errors, and keep learning.

From my experience of Dataquest, I have found that the website is a good platform to learn and develop your skills in data science or in programming python(as I have learnt python through it). Dataquest has good exercises and also systematic approach to learn the topics and their application.

I tried few other online classes on Udemy. All use videos that give you feeling of progress with less focus on application.
DataQuest education experience, from the interface to the various interesting datasets from Kaggle and FiveThirtyEIght (Used cars price to Gun Deaths in US) very relevant to real world experience and situation.
Few days ago I attended an Event in Quid.com. I understood like 70% of hardcore data scientists explaining to similar crowd.
I knew DataQuest is relevant, because of my engineering background, but couldn't believe it that much.
My Recommendations: If you want a real-world data science education , in a very caring way and fun. Don't hesitate to start the free trial on DataQuest and See for yourself!

I have like 3 months and I like the practical way for learning they have, using in all of the lessons real world cases that help you gasp better the concept.
Also like the structure of the lesson and you have also a console to test immediately what you are learning. I recommend a Lot.

Dataquest coursework gave me the tools and confidence to pursue data science as a career. I would recommend the "Data Scientist in Python" track to anyone who wants to keep current on their data skills.

Its the most straight forward education that builds your knowledge incrementally. The explanation for new terms is very simplistic and has great diagrams to actually show the flow of logic rather then accepting it as unknowable truth behind coding. Also the team is enthusiastic to help you solve problems or even answer questions not in the curriculum.

Extremely well-designed tutorials with interactive coding exercises help me understand and master all the complex knowledge super fast.
And the team of Dataquest is really nice. They will regularly reach out to you asking your experience and patiently answering all your questions.
I definitely will recommend Dataquest to my friends.

They have managed to make it really fun to learn data science with the curriculum so well structured and broken down

I started with dataquest for free, doing some of the Python course, and though I already knew some Python I felt they were approaching it in a helpful way that helped to cement what I had learned. Then I realized they had paid courses at a fraction of the cost it would take to do a lot of bootcamps. I signed up for Data Engineering and have made it through the Postgresql section so far. It has been really good. Instead of videos, you read about syntax you will be using and then practice it. Sometimes you have to look up reference material which I also do with other MOOCs. But what's nice is they build skill up on skill in a way that makes total sense, and in a way that gives the opportunity to use the things you just learned a few more times. This is very good for remembering how things...

I have been doing software development for a number of years. However, I am new to Python and totally enjoyed learning on Dataquest as part of my Data Scientist course. Now I am working on more exciting modules such as numpy and pandas. Very exciting stuff and I highly recommend it.

A big advantage of this platform is that it doesn't have videos of people who most of the time don't really help me in my tasks.
Each mission has a detailed informative tutorial with the theoretical background, and it finishes with a practical exercise that sometimes goes a little beyond what was described before. But this is nothing more than a push to make me think harder about the problem at hand.
The community is also a big pro as people are always trying to help sorting my difficulties, in addition to the Dataquest team, of course.
The data sets are good as they include real case studies, that I could be using at work for instance.
A negative aspect that I find is that sometimes the introduction for the practical exercise is not explicit and I don't really understand the final...