Dataquest

I am very pleased with the dataquest platform.
I have tried some other "big data" online training programs and most of them are based on video lectures followed by multiple choices questions. The format adapted by dataquest is very good : some lecture first, directly followed by some exercise to experiment what we just learnt. When you're stuck you can get a hint or even see the answer.
Dependung on the plan you choose, you can also access guided projects which involves a set of the knowledg gained in the current and previous chapters.
I would recommend dataquest any time and I actually already recommended dataquest to a friend of mine who started his training last week, he is also happy with it.

I tried many online tutorials before Data quest I frankly feel that Data science is something that cannot be mastered without actually getting hands dirty on projects.
Just theory is not enough and hence I like the Data quest feature of doing projects along with theory. This is a good website for beginners.

Dataquest has a really awesome learning platform. Whether you are a beginner to programming and the other aspects of data science they will take you from zero to 100 with such ease and a gentle pace at each step. I looked at several options before deciding on dataquest but when I tried their platform I was amazed at how well thought out things were. Plus I could do the sessions including the programming right in my browser which meant I could do tutorials in my down time on my iPad or my phone and not have to wait to get to my computer to do the practice code. I have not completed my program as yet but I’m excited and looking forward to my achievements. If you haven’t tried them I’m not certain what you are waiting for (Just want to say that this isn’t a paid review. I just think that t...

I've wasted a lot of time and money on online video courses and tutorials on blogs, articles etc. I noticed that the information wasn't really sticking and I wasn't really learning and I wasn't confident in my skills. After coming across a video on YouTube about how to get into Data Analysis from someone at DataQuest, and how they can help, I visited their website and took their free Python For Data Analysis course and enjoyed it, and noticed the unique approach. I decided to continue learning with them and took out a premium membership. To date, I've learned a lot and I'm confident in my skills. I would recommend DataQuest to anyone serious about getting into Data Analysis. They have a supportive community to help and it's a great investment.

Recently I have decided that I want to expand my knowledge of programming, especially with python, so I started searching the internet for a good course.
I did a few video courses, and did some reading of python websites, but it just didn't feel so effective...
I kept searching untill I came across dataquest.io, and decided to give it a try.
It should be noted that this site is not a "declared" python learning site, but rather a data analyst \ scientist \ engineer learning site, but nevertheless, it does a really good job teaching python.
The main advantage here is the "hands-on" approach. You just can't learn how to program by watching videos or reading, you must do it with your own hands!
So on this site, you read an explanation and then you write the code yourself and get a feed...

I initially logged into DataQuest.io as a way to experience working with Python instead of R. While not normally a fan of online courses, I quickly found myself pulled in. The content is well organized and relevant to my work. Within a couple days I found myself able to write fairly complex ETL scripts using the knowledge I learned at Dataquest as the foundation. When the free content ran out I happily subscribed. I look forward to logging into Dataquest every day!

Pros:
Content is relevant and well organized.
Great support/chat platform
New content being released all the time
Project based approach helps with the learning process.

Cons:
Small community on the forums.

I have done one or two online courses in platforms like Coursera. Its my first time with Dataquest, and I really enjoy the no videos and just pure coding experience. It improves your coding speed by writing small programs one after the other while learning something new with each exercise.

I come from marketing/advertising background and I want to switch to data analysis. I easily get bored of traditional video-based courses and was looking for something more interactive. I first tried free version of Dataquest and after a few days I realized that I am willing to pay because this is the course I really want to continue. I really like that for each new peace of information I get the chance to write my own code and get it checked right away. This makes the experience very engaging. I also enjoy hearing this nice sound each time my code runs ok :) This together with real-time updates on the dashboard showing my progress in percentage of overall program are very motivational.

I also enjoy being a part of their slack community where any student can ask for help from fellow...

I'm currently enrolled in Dataquest's Data Analyst path. I've tried (but didn't complete) Udacity's Data Analyst path as well as a few Udemy courses.

In Udacity, curricula and teachers vary from module to module, so it felt more like switching classes in college. I think this can be a very good thing, but it can be more difficult to build on what you learn in previous modules. Dataquest, on the other hand, is like having one professor until you graduate; she sticks to a certain teaching style and every lesson builds upon the last. I think this helps you sharpen essential skills more quickly. It may not provide as much breadth as Udacity's approach, but you can get this from side projects and independent study (which I highly recommend doing anyway). Another thing to keep in min...

I tried Codecademy and DataCamp before fully committing to DataQuest. Here's why:

1. Codecademy is ok but limited in scope, and they were using Python 2.x, while all my other tutorials, etc., are in Python 3.x. As a complete beginner to coding, I really didn't have enough fluency to be able to understand whether the difference were significant or not, so I didn't feel that I needed one more hurdle to figure out.
2. DataCamp is quite good. i have no doubt that the success I'm having in DataQuest is partially due to the comfort level with basic Python I achieved in DataCamp, so due credit there.
However, DataCamp has two main drawback, as I see them:
A. They mainly use a video lecture method of content delivery. This is not an absolute down, as it really depends on the prefer...

Since I decided to change my career heading to be a data scientist, I realized how important is having a constant learning routine. Therefore, at least once a week I spend some hours getting new knowledge. Among several platforms that I have been using lately, Dataquest is one of the best. The way topics are organized through amazing "missions" helps a lot the way I learn. Everything is well planned and it is wonderful how I notice my progress. Not to mention the very thoughtful support!
I really recommend Dataquest!

I have been using DataQuest for only a couple of months and, in that time, it has been nothing short of wonderful. I am on the Data Scientist path and learning with Python. Here is why the program is amazing:

- The missions are streamlined and not bogged down in too much unnecessary information. It is to the point for the mission at hand. There is never any fear of turning away out of boredom because you are moving effortlessly and efficiently from mission to mission, learning and absorbing so much along the way.
- The missions use real-life data. It is like you are already a data scientist, in a way, just by working through the missions. And by using the real-life data, you are able to understand how and why Python works so well in analyzing the data. One might be turned off...

Before I know dataquest, I learned to code via videos online or books.But they are just not efficient ways for me to learn so I searched for interactive website.I don't know if Dataquest is the best website for people who wanna be good at data sicence,but I can tell it suits me most so far.Beautiful interface , powerful teaching theory with deliberate practice and there are many data scientist will reply your question as long as you send them a message.I am still keeping going on dataquest and I am real user from China.I think it's wonderful so I recommend it for all of you who wanna join in data science but has no idea how to begin.At last I wanna thank the team who built dataquest, you are must really wise people.

Pros:
- Good introduction to beginners, does not go too in depth into each topic, just enough for further self study.
- Links to documentation are convenient.
- Explanation is layman, convenient to go back and re-read compared to video lessons
- Interface is user friendly. Split-screen learn and do allows application immediately
- Concepts are broken into small chunks and linked
- Free content is plenty.
- Slack community is rich with discussion, better than getting ignored on stackoverflow
- Self-paced

Cons:
- Programming in browser will not generate as much warnings as in local environment using Jupyter notebook, thus not maximizing learning
- Forums for free missions have limited answers to questions
- Usually only 1 way of doing things/ 1 library function introduce...

I have tried lots and lots of MOOCs in the fields of data science and machine learning. Guys trust me. If you really want to learn the domain, go for dataquest.io! Most of the courses are scratching the surface only by discussing high-level theory. Even if there is a code shown, you won't get the practice and confidence in coding (scripting). Other courses are focusing on tools and coding without diving deep into the theory.
Dataquest is the only comprehensive offering I am aware of. And what makes it so outstanding? Simple:
1. It is extremely well structured. Your knowledge will be built up step by step using learning by doing approach. Both your technical skills and theoretical knowledge will evolve hand in hand.
2. It goes under the hood. You will really understand the details, y...

DataQuest is the best platform I have come across for learning data science. The biggest selling point for me was the wide range of topics available, as evidenced by the three paths available: data scientist, data scientist, engineer and analyst. This means you will not need to scour the web to puzzle together a collection of resources to teach you what you need to know: it's all just there.

The platform is a joy to use, and I have not encountered any major bugs whatsoever. It is also constantly updated, and very intuitive to use. For those of you on the fence, give it a try. With this platform, the only obstacle to mastering data science is how much time you have to learn it!

Pros
Best bang for your buck. Each course offers a certificate along with the overall course path: data engineer, data analyst, and data scientist.

Gives a course on how to use Kaggle with background in the mathematics of data science.

All the courses are in text, so doing it at work without headphones is very convenient.

The help during learning how to code is not penalized and positive reinforcement is given throughout the learning path.

Cons
Some errors in the code, but very small. Also there are some projects that do not have solutions.

This might matter to some, but, I found it as a pro, no videos.

Job Support
They have a job support for the highest form of membership. I gave them 3 starts, since I did not attend the highest form of membership but the premi...

Pros:
1. Highly structured course that takes someone with absolutely no experience in programming to professional standards in Data science fairly quickly.
2. Many guided projects available that helps you build a strong portfolio to impress employers
3. Subscription fee kicks in only after your done with the first few courses so you can decide whether to go ahead with the program or not
4. Concepts are mentioned clearly and approached in a practical manner
Cons:
1. There are a few bugs in some parts of the course (<1%)
There really isnt any cons for me to list out, Dataquest has been a very good supplement to add to my Data science portfolio

Compared to other data science course providers, Dataquest has content is really good, offers guided projects and easy way of teaching stuffs.Courses are well structured and community is also good. Python courses are well structured and advance courses offered on the same are really worth for the money.

I have many years of experience on computer science. After a master's degree and a job as an IT analyst, I wanted a change. So I decided to be a Data Scientist!

I chose Dataquest because of:
- the quality/price ratio is satisfying
- it covers all the basic topics to start a career in Data Science
- the community on slack is very active and you can team up with a lot of people there
- some steps need still to be improved since the explanation is not clear, but overall I'm glad to study here

Also, I have experience on computer science already, but people who are switching for the first time to it seem happy to be part of the community.

If you are interested in learning Data Science and Analysis, look no further. Great content, great way to learn stuff, very helpful community and a reasonably priced subscription model. Can't recommend it enough!

I started The datasciecne track recently. The content is pretty good. The subscription payment method is good, because you can cancel at any time if you decide to not continue.

I am doing courses (or "missions" as a Dataquest calls them) in the data science stream as a premium user. I have also done courses at a rival site Datacamp. Dataquest courses are better because they are sufficiently detailed and hard enough to make the learning experience work. The Dataquest tutorials build on each other and link to each other better than Datacamp's tutorials. The user interface is great, and includes a fully function Python console and script editor with text highlighting. My only suggestion would be that they should provide automatic code completion. However, typing the code yourself helps you to learn the code :). I really love their "guided projects" too, which are done in a fully functional Jupyter Noteback. This allows you to do more independent thinking ...

Their interface is really cute and easy to use, which helps with the learning experience greatly.

Dataquest teaches the topics from the basics because of which it is easy to understand for everybody. One can practice while learning and also build a portfolio using the projects. The courses at Dataquest have been built in such a manner that you gradually upgrade your knowledge without having to take in too much or too little at once. It is, therefore, one of the best online courses for a data scientist.

I signed up for Data Quest as an adjunctive toolkit to help support my Masters in Data Science. So far it's been extremely useful in helping me absorb basic programming concepts and I look forward to completing the Data Science Path in the coming months.

I've dabbled in other MOOCs including Data Camp, Treehouse and Udacity. Data Camp feels too compartmentalized and the lack of projects makes reinforcing skills difficult. Treehouse and Udacity certainly do a better job by integrating projects, but contrary to what I originally thought video instruction has proven to be more of an inhibitor than anything in terms of knowledge acquisition.

In the end, it took lots of experimentation but Data Quest's format of having instructions on the left and a text editor on the right ended up ...

Dataquest is so great. You can get hand-on experience from data import, data cleaning, and modeling.
Also you can practice python and R programming skills through practical examples.
It is very great since it teaches you from the beginning to the deep.

I spent a LOT of time researching what skills I needed to learn to become a Data Scientist, as well as the myriad of courses offered. It got to the point where I was so overwhelmed by everything I needed to learn and which option was the best that I never started anything—paralysis by analysis.

I discovered DataQuest and really like how they clearly laid out the course progression that hits a lot of the key skills I knew I need to learn. I began their free offerings and found that I was making significant progress with their in-browser coding techniques. As I progressed, I realized I was actually learning material, and appreciate that they reinforce concepts with projects. I have begun using their guided Jupyter projects, and adapting them to create the beginnings of a portfolio. Fo...

There is no resource like it on the web for structured and most importantly focused learning of data science.

*** What it is and how it is structured ***
DQ is a platform that trains you up from having no data skills (except a good brain) into having the opportunity to become a professional in the field (success not guaranteed, they stress that you need to do some portfolio projects of your own),

There are three paths, analyst, scientist and engineer. Analyst is about 50% of the Scientist course and engineer focuses on other areas too. The courses all have overlap because they're looking at the same tools, i.e. using Python, using SQL, data sets, servers, etc. All those tools are explained in language that is simple and clear, and then through practical examples.

The platf...

I think that DataQuest is one of the best springboards into a data-focused career that money can buy. 1) It's mostly free, 2) the paid content is absolutely worth the cost, and 3) their community and support is top notch. I've been reccommending it to all of my friends who are interested in building their data-focused skills since I found it. The website is incredibly well made, the problems are interesting AND relevant, and it's focuses on important topics that are useful and marketable. Great job!