Dataquest

When I started to learn Data Science more and more I realized how much breadth of knowledge is necessary.
I don't have a CS degree background and have been doing data analysis and BI development in the last 3 years but that gives me only SQL and a few... Read More proprietary BI language, however to be a good performing data scientist technically is required a lot of knowledge across various areas and I soon felt lots of gaps, hence the reason I embarked in the Data Science Python path.
By looking at the curriculum it was what I needed to fill those gaps like, Linear Algebra, Calculus, Command Line, Git besides the core Pandas, Matplotlib and Machine Learning.
Regarding the content I think I hesitated not having videos, because I am very visual learner, but in the end was the BEST think for me, because as you take the course you are forced to get your hands dirt and learn by doing through repetition.
The platform is awesome, the explanation, graphics and examples are very well done and start simple and progress to more challenging exercises pushing you to learn a lot.
I am impressed with me how much I progressed.
The community is very supportive and the forum and chat help a lot and also gives you opportunity to help others as you become more knowledgeable with experience.
I push to finish the total curriculum in 2 months and it was worth it. There is progress % and completion which keeps track of your hours and completion. I set a weekly target of 20h a week and it was the best thing I did.
I recommend buying the monthly subscription as it pushes you to finish early and move on to the next thing and to practice. I know that if I signed up for the year procrastination would kick in.
Point of improvement is only one. The IDE can be VERY VERY VERY Slow to the point of irritate you and your progress only gets recorded if you use their online IDE. The Jupyter Notebooks integrated in the platform works fine. As fast as local, but the "IDE" to complete the exercises suck big time.
Despite all that, I high recommend.

I started the Data Science in Python path and plans to tackle the Data Engineer one as soon as the first one is over. So far, it has been an amazing experience.

The structure of the courses given is key. You will discover a new concept in each course... Read More and you'll never have the impression that the teachers didn't provide you enough information to finish the exercises.

Moreover, they really did well by gamifying their teaching. You can always see where you're at in the path you're following. They provide you with weely goals to achieve based on your pace.

Finally, I recommend Dataquest over DataCamp as I prefer to read instructions and have to type code from scratch than to watch short videos and fill in already very pre-filled lines of code!

No hesitation, go for Dataquest!

Following along with Dataquest, I learned how to scrape data off the web, and how to pull data from APIs. I use these skills all the time in personal projects (occasionally at work). I highly recommend Dataquest. You never know what indispensable skill... Read More you'll learn by using the platform.

I've started Dataquest's Data Analyst path in April and so far I've finished a third of it. I'm new to the field and I therefore also tried other websites that teach data science, but I've decided to stick with Dataquest. That may be personal preference,... Read More but to me the interface seems cleaner and less clunky than other sites and I'm more focused on the explanations and instructions than on other sites. I like the curriculum (so far), because it is very project-oriented and the whole website seems geared toward knowledge and skills that are transferable and helpful when applying for jobs. Some lessons seem a bit too easy while others suddenly require a big step by the learner, but overall I feel like I'm learning something and making progress and not just copy-and-pasting something into an editor. In terms of progress, the site also provides estimates for how far you've progressed and when the course will probably be completed, depending on the hours per week invested into the course. That's a minor feature, but as someone working full-time and only making slow progress, I really enjoy being shown an end-date for the course, even if it's a couple of months away. I also like that the site is only focused on data science, so even if I take a peek into another course, it's still a course about data science and I'm not starting six different courses on completely different topics just because they all sound interesting and it's fun to start new things. The site also provides blog posts and in-depth guides on a range of topics. Those are free and obviously somewhat geared towards getting people interested into the topic and the website, but they're nonetheless good and have been quite helpful and interesting.
I cannot comment on the job support yet. The site and curriculum are geared towards making the job hunt more effective, but I assume any job hunt will eventually depend on each individual's characteristics, possibilites and preferences, e.g. personal network, city and country you're living in, financial situation, previous work-experience etc. So while the Dataquest tries to be very helpful in this regard, I expect that this help will have its limits.

Now this is what one could call didactics. Having no prior experience on data manipulation or Python, I've progressed so fast and in depth, sometimes I just can't believe how deep my coding skills went, and how many techniques I've simply incorporated... Read More without even notice. The exercises are really challenging as you advance and you are encouraged to find answers on documentation and online forums, which is traditionally routine practice on the development field. Every module is concluded with a real world project, which can be added to your portfolio.

CONS:
Sometimes I got stuck and found no useful help other than the correct final code to that exercise with no further explanation. It doesn't happen anymore, since I (encouraged by the course itself) learned to use documentations and forums properly, but for a beginner struggling to assimilate tons of abstract concepts, it would be nice if the answers and hints given had more depth, with piece by piece explained. I don't know if its meant to be that way, but if is, well, it worked for me.

There are few programs that can be compared to the methodology Dataquest has introduced. This concept of learn-by-doing in a real machine is exceptional, and they complement it with clear and straight-to-the-point content which will make you feel progress... Read More in no time!

What I like most about it is that you get right into hands on experience of your own project. I’ve tried some notable others which I initially liked but over time became too “fill in the blank.” Dataquest seems to have the right balance of instruction... Read More mixed with practical use. I’m a hands on learner and I suspect many others are too. If so, Dataquest

Man people view computer programming as something you do to make things. Like a program, game, or App. However, programming languages like R and Python can make a great addition to a scientists tool belt. As a water scientist, having the skills to utilize... Read More these languages for data science is almost a requirement and something I have been struggling to train myself with for a couple of years now. Enter DataQuest! With their step by step tutorials and downloadable data sets, This was the first online tutorial coarse set that has begun to teach me how to program in these languages, but understand these languages. Understanding these languages is the key to be able to utilize them in everyday work, and that is what DataQuest has done for me. I have already recommended it to everyone in my office that wants to learn or become more proficient in these languages, and I will recommend it to anyone who is interested in data science or who wants to incorporate data science in to their current career path or scientific discipline.