Dataquest Reviews & Product Details

Learn by writing code, working with data, and building projects in browser at my own pace. Great community where I can get help from. Excellent Blog. Review collected by and hosted on G2.com.

I do not have any dislike point for it currently. Review collected by and hosted on G2.com.

* Best resource for getting started.

* Good technical and customer support.

* Active slack channel to connect with other users and ask questions.

* Covers all aspects of Data science using Python using Numpy, Pandas and Plotting libraries. Review collected by and hosted on G2.com.

* Explanations for some of the topics is too brief.

* Statistics and Linear Algebra topics need more information. Review collected by and hosted on G2.com.

Breadth of topics, some interesting challenges to solve. Definitely a nice in-browser approach to expanding my skill set. Review collected by and hosted on G2.com.

I've noticed in the ML & stats focused missions a fairly significant decrease in overall quality and depth to which each topic is explored. There have been several instances where the explanation either hasn't been clear for what is needed to complete an exercise, or was not provided at all. I feel this is definitely an area where there is room for improvement. Review collected by and hosted on G2.com.

The lessons are organized in the perfect way for me—a track broken down into classes broken down into modules. It's easy to complete many in one sitting, or just work on one or two if you only have a few moments. I've taken a lot of online programming/data science courses and I feel like this one stands out because it presents information at the right level.

Additionally, the quality of the writing and teaching in the lessons is very good. The content creators seem to be trying to put themselves in the shoes of a novice, and to break things down for somebody without prior knowledge. This also distinguishes the course from others!

The progress reports I get in email are very nice and encouraging. Review collected by and hosted on G2.com.

Can't think of anything here, sorry (not sorry)! Review collected by and hosted on G2.com.

I've used multiple platforms of learning for to understand data science, such as online courses through Udemy and Dataquest. I quickly discovered I preferred Dataquest because of two main things. What I liked best was the embedded console to type in code while I was learning. I also liked the roadmaps (Data Scientist, Data Analyst) because it so effectively gave an overview of data science which enables me to begin learning without being overwhelmed. Review collected by and hosted on G2.com.

I think something this platform could improve upon is keep users engaged throughout the process. I've struggled to keep using Dataquest as time went on... perhaps there could be a way that Dataquest could help the user set goals to complete modules, and also give the user an idea of how long it will take to complete the curriculum given the rate at which they are completing courses. Review collected by and hosted on G2.com.

The modules and structure of practice and also having access to answers if you get stuck is a great approach for learning. You can't do everything, but you can do something. Dataquest is a great approach for doing something - enabling me to take action to learn and practice. Review collected by and hosted on G2.com.

In everything there are benefits and limitations, one limitation with Dataquest is I felt like I had a difficult time making the transition from the Dataquest platform and completing some of the processes and steps on my own in Jupyter Notebook, but that same limitation was a benefit to me as a brand new beginner because it made it very accessible and easy to begin. This is a transition friction point that might be helpful to address Review collected by and hosted on G2.com.

It provides the perfect balance between self-learning and guided learning. Forcing me to write my own code, and asking me to do it repetitively helps me to actually grasp the material. Too many websites/tutorials out there ask you to alter a line of code and expect you to learn how to program that way. For me, that's not at all useful.

I just completed all lessons on the Data Scientist path that are available to Basic subscribers, and the statistics refresher was very helpful. It was great to see how easily the Pandas and SciPy libraries could make statistical analysis. Review collected by and hosted on G2.com.

There were some missions where the actual involvement of the subscriber was minimal. I learn by doing and solving problems on my own, so writing one line of code did not help hammer home the concept.

On some guided projects I was asked recall concepts and bits of code that I completed a while back. It wasn't always easy for me to remember how to solve those problems, so perhaps links to the pages on which you first learn those concepts would be helpful. Review collected by and hosted on G2.com.

I get to deal with real-world datasets and apply the things I just learn in each course into small practice projects. By going through this process in each course, I gradually build up a good portfolio for my data science projects, which I believe is the best way to present my skills to potential employers. Review collected by and hosted on G2.com.

There are not really anything I dislike at the moment as I am still taking these courses on Dataquest. Review collected by and hosted on G2.com.

The methodology they have chosen to implement is hands on and guides you through the relevant technologies and processes to get started with Data Science. On top of that, they have a slack community that is very active and the Dataquest team members respond to queries quite quickly.

If you are a member, you also get access to guided projects which you can save to your GitHub account to build a portfolio. Review collected by and hosted on G2.com.

The only thing that I would say I dislike is how the statistics material is presented, but that is being replaced with new content. New content is constantly being rolled out and they are regularly updating what is there based on user feedback. When reading this, remember it was written on 25/01/2017 and the new statistics content is due to be deployed in a week or so. Review collected by and hosted on G2.com.

The Dataquest curriculum covers the basic toolkit of a data analyst and a data scientist. I believe it give you a foundation that you can go build upon with your own projects.

The Dataquest learning platform is very well organized and implemented. The exercises have a good balance between basics practice and expanded challenges. I haven't encountered any bugs in the exercises. (You know those bugs that make you doubt all your learning and lose trust in the instruction -- haven't seen one.)

Previously, I have picked up skills with Codecademy, Google's Python video course, live classes in Python, and Coursera classes, and I think Dataquest puts many essential topics together nicely and provides a smooth but steep onramp to real data science workflows. The lessons are very well written.

Dataquest is a great solution for the tricky problem of online instruction in data science. Review collected by and hosted on G2.com.

Sidebars are sometimes cut off on 11" MacBookPro screen. Review collected by and hosted on G2.com.