Dataquest

I used Dataquest since 2019 and I double my income in 4 years and became a Data Scientist. That’s pretty cool! I’m sure other platforms could have also done the same thing but this is my experience. I don’t have any negative things to said and I’m pretty hard to satisfy so they are definitely doing the right things. I still have access to their platform since I purchased a lifetime membership years ago. I’ve finished the Data Science career pathway and now I’m running out of courses to take within DQ. I do wish they invest more in AI courses, e.g., large language models, deep learning, AI agent development, etc. Hopefully, someone will see this post and start creating more advanced course in AI. Long story short, great platform you won’t regret it!

I've been using Dataquest for a while now, and I think it's a fantastic resource for anyone aiming to break into data analysis or data science field. What really stands out to me is how easily it fit into my study schedule, everything I need is right there, making it easy to keep up with my learning goals without feeling overwhelmed. 

One of the best aspects of Dataquest is how interactive the courses are. Rather than just passively watching videos or reading, you're constantly engaged with exercises that reinforce what you've learned. 

The hands-on projects specially, are a game-changer. They’re challenging, it takes time and effort, but that’s exactly what makes them so valuable because they really push you to apply your knowledge in practical, real-world scenarios.

Although I haven’t had to reach out to customer support much, the few times I did, I was impressed by how quickly and kindly they responded. It’s very comforting just to know there's a supportive team ready to help if I ever need it.
Overall, the feeling I have is that Dataquest isn't just about acquiring knowledge, it's about knowledge and also truly understanding and applying it, which has made a significant difference in my learning experience, before Dataquest I didn't knew how to apply a lot of things and didn't have a portfolio, and this has changed a lot since I started to use the platform.
I highly recommend it to anyone serious about advancing their skills in data science.

I have been following online courses about Data Science and Machine Learning for a long time. I discovered the Dataquest proposal in its early days, yet in 2017. As a Professor at the UFRN (Natal)/Brazil, I would like to promote the teaching of Data Science courses locally in our university. Right away, the didactic presented by Dataquest was differential compared to other proposals from ed techs in the same field. Focusing on text-based materials rather than videos came close to what I was looking for. The idea and the strategy of problem-based learning were very inspired and motivated me to adapt it for our local. The results were spectacular and conquered and encouraged the diffusion of knowledge about data science throughout our university. 

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 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 am learning at dataquest, data science track. I have just finished basic python programming and some way to intermediate python programming and going forward to finish the data science track. The way dataquest is delivering the lessons are based on the principles of learning by doing, no videos or ppts. The learners are interacting with the content through coding.  So far, from what I have seen, the missions are based on real life problems. For these real-life problems and challenges they give us a guideline to go through and I believe this is the best way for adults like me to learn.

Des.

 

TL;DR: The Dataquest curriculum is well curated and laser focused for maximum value and efficiency. You progress at your own pace along a clear and logical path, without wasting time on mind-numbing instructional videos or searching around the internet to figure out what to study next. The entire learning experience is integrated in a single platform where you use interesting real-world data to immediately apply and practice each new skill at every single baby step along the way. Larger guided projects, interspersed frequently throughout the curriculum, allow you to synthesize concepts and solidify your knowledge while also building up a portfolio of projects to showcase your new skills.   The details:   As an environmental scientist, I've been using Python the past few years for data crunching and scientific computing. The data analysis parts of my job are by far my favourite, so now I'm wanting to transition into a career in data science. I was looking for an online course to help me level up my skills in the following ways:   a) work on projects with data from a wide variety of domains outside my little niche of academic research, b) add some new tips and tricks to my Python toolbox, and c) learn the essential concepts and skills in areas where I have minimal or no experience (such as databases, APIs, and machine learning).   Dataquest is the perfect learning experience to accomplish all of these objectives! I could have cobbled something together from a mishmash of free internet resources, as I did when I was initially teaching myself Python, but that was a very time-consuming and inefficient experience I did not want to repeat. When I discovered Dataquest and started trying it out, I could tell that it was exactly what I needed to make the most of my limited free time for studying. Below are some highlights of my experience and impressions so far.   The curriculum is well curated and laser focused for maximum value and efficiency. The Dataquest team has done an outstanding job of identifying the knowledge a data scientist needs (including crucial non-Python skills such as SQL, the command line, and Git), and putting together a thorough and focused curriculum. You learn the material you need to know--always through the lens of its application to data science--without getting sidetracked into rabbit holes and irrelevant tangents.   The entire learning experience is contained within one platform where you use interesting real-world data to immediately practice each new skill at every single baby step along the way. You don't have to constantly disrupt your flow and waste time bouncing back and forth between videos, reading materials, online interactive exercises, and coding on your own local computer - everything is all integrated into one seamless experience in the Dataquest UI.    And can I get an amen to ZERO instructional videos? For me personally, instructional videos are usually an epic waste of time. I find that the material is always presented either too slowly (and there's no way to save time by skimming it as you would when reading), or too quickly so that I'm having to constantly pause to scribble notes or look up things that weren't explained thoroughly enough. On top of all that, by the time a video ends, I've usual forgotten at least half of what I've "learned" because I wasn't practicing any of it along the way. The Dataquest approach is sooooooo much better! Read a bit, do a bit, read a bit, do a bit, and so on, so that you're constantly practicing and reinforcing the concepts. I think videos can be great for ideas, inspiration, and the occasional walk-through of some finicky process, but not as the primary means of teaching an extensive curriculum, so I was absolutely thrilled to discover an online course that does not rely on instructional videos.   You progress at your own pace along a clear and logical path. The curriculum is structured as an overarching path broken down into a logical progression of individual courses, each of which is broken down into smaller missions and projects comprised of a series of about 5-15 short steps. This structure makes it really easy for me to learn the material at my own pace, within the constraints of a busy and ever-changing schedule. Even if I only have a spare 20 mins for a study session, I can still complete a few bite-sized pieces and actually accomplish something worthwhile in that short time. When I get super busy and decide to take a week or two off of studying to focus on other priorities, the Dataquest curriculum structure makes it very easy to quickly jump back in after a hiatus.   You build a project portfolio as you're learning. Larger guided projects, interspersed frequently throughout the curriculum, accomplish a dual objective of allowing you to synthesize concepts and solidify your knowledge while also building up a portfolio of projects to showcase your new skills. For me, these projects are also a great way to accomplish my objective of working with data from a wide variety of domains outside my field, without having to waste time scouring the internet for random datasets to work with.   One minor comment on projects and portfolios - starting with the very earliest, beginner lessons in the Dataquest curriculum, they encourage you to showcase your projects in a public portfolio for prospective employers to see. While I love the idea of integrating a career-oriented portfolio into the learning experience, I might be a little more cautious about telling students to publicly display some of their very early work before they've learned some key skills such as vectorized operations instead of loops, Pandas instead of vanilla Python for tabular data, etc. Put all your projects on Github, for sure, but you might not want to publicly highlight and/or point people towards your very earliest projects, because you will soon be learning much better (and more industry standard) ways of implementing these analyses. As you progress further into the curriculum, you could always revisit an early project that you enjoyed, update the code with the new skills you've learned, and then highlight the project by pinning the repo on your Github profile. Otherwise, you could just let your early projects gradually descend into obscurity at the bottom of your Github repo list, as you keep adding new ones that better showcase your awesome new skills.   To sum up, my first four months of an annual Dataquest membership have been excellent. I've been learning a lot and enjoying all the fun data and neat projects. The curriculum is top notch and the learning experience is structured to help you progress efficiently and make the most of your time. I highly recommend this course to anyone wanting to learn data science!

Being a Biomedical Scientist, I am currently looking for a career transition where I can be more involved in data driven projects with ML and other cutting edge technologies. My first concern is that I have no background in coding or any data analysis experience with any programming languages. After looking into several online courses about data science, I felt that Dataquest provided the most comprehensive curriculum. What I liked the most about it is that everything I need to know (from basic python, to pandas, ML, statistics, SQL etc.) is set into a logic order into learning paths. This makes the learning experience much more enjoyable as I don't have to worry about knowledge gaps or what skill to learn next.

Their interactive platform allowed me to learn by doing coding exercises in python myself, which is indeed much better (atleasy from my perspective) than watching Pros as they do all the coding. Basically their teaching method consists in explain a concept with diagrams and examples and then make you apply it on ongoing projects. This helped me develop agility writing code and familiarity with Python's backend logic. In addition, they provide challenges and projects where you can test your skills.

Possible improvements:

There are some features that they could add. First, I wish they did some summaries at the end of each module, as it helps students to review as they practise. This is something they seem to be currently working on, as the first couple modules do come with summaries. Hopefully they will have these recaps made for all modules very soon. In their blog, I have also found some cheat-sheets that contain the most used methods and formulas for packaged like numpy and pandas, which is very handy when doing projects.   

I also wish they had videos every now and then. Sometimes, reading all the explanations and diagrams can become a bit boring and tiresome, so in my opinion having some demonstration videos would make the platform so much better, specially videos on "do-along projects" where instructors do projects as they explain their thinking logic.

All in all, I recommend this platform to anyone who is looking to get started into data science or related fields. Their members are very helpful, honest and quick to reply enquiries.

I've been on my way to become a data scientist since for a couple of years now. I've been studying on many sites, took several courses on Coursera and even on Udacity. While overall quality of those online courses are pretty much satisfying, I never had a feeling that what I've learnt is enough, so I kept delaying applying to job interviews as data scientist.

What I find great about Dataquest is that this platform is extremely versatile, packed very densely with information and have great opportunities to practice skills that I feel is important to practice. The whole process is semi-self-paced (you are setting your own pace and try to keep up with it, or do not engage in such stuff at all), and I could skip all topics that I already knew (e.g. the basics of Python).

The most important part of studying here is so called "Guided Projects". In those projects I was able to explore various topics on pretty much real data in Jupiter Notebooks, the whole process of going through those projects is absolutely gorgeously structured. In every project I've done for now I felt like I was doing real data science.

For now I'm not finished yet, but judging by the content that I've completed already and the content ahead I think it would be my last data science course before I'll actually build up enough knowledge to go to a job interview as a real data scientist.

I am using Dataquest for Quant Prep before my masters program. It was recommended by the school, and paid for with my tuition, but I have learned so much more than the minimum for preparing for school. It has been very rewarding to see my weekly reports and the hours of work I’ve put in. I am an attorney and going to get a masters after a doctorate is a very weird feeling, but I have felt very good about my choice because I can see how data science will apply to my work. I very much enjoy how much you are tested along the way too; nothing feels like you’re just reading along. The R course has made me love math again, which sets me apart from other lawyers, so my skill set is extremely marketable. 

I've been using Dataquest to learn data science since 2023, and it's been a fantastic experience. The platform offers a structured, hands-on approach that really helps you grasp the concepts. Instead of just watching videos, you dive right into coding and problem-solving, which has significantly improved my skills.

One of the things I appreciate most is the real-world focus. The projects and datasets are practical, giving you a taste of what working in data science is really like. The guided projects are particularly helpful for building a portfolio, which is crucial for anyone looking to break into the field.

The learning paths are well-organized, taking you step-by-step from beginner to more advanced topics. I started with the basics and gradually moved on to more complex subjects like machine learning.

However, there's room for improvement. Sometimes, I found myself seeking additional resources to fully understand certain concepts. Also, the coding interface, while functional, could be a bit more user-friendly and responsive.

Overall, Dataquest is a solid choice for anyone serious about learning data science. It provides a comprehensive, hands-on education that prepares you for real-world challenges. If you're willing to put in the effort, you'll come out with a strong foundation in data science.

So far my experience with the bootcamps I have taken on dataquest have been interactive especially the parts where you get mini quiz as you go so as to ensure you really understand what is being taught. As someone with zero coding experience i have had no trouble understanding the coding courses as they are tailored for you to understand even if you are a newbie in tech. Overall dataquest is a great platform to learn. The only downside is that the subscription is a bit expensive especially for people like us in countries with low earning power.

I'm learning data science in python from dataquest and my experience with it is by far amazing. The course beginner friendly so I don't have to jump around blogs or yt tutorials to get the theory. And after completing the theory I have to do practical coding questions related to the theory and the good part is the coding is done on integrated jupyter notebook which is widely used in the current market so it's a win win for me to apply my coding skills in jupyter notebook in dataquest itself. I used dataquest for like 2 hours around daily and didn't encountered any technical issues or whatsoever, it runs everytime smooth for me. Also just to give some advice who want to learn data science from dataquest, try gaining as much knowledge as you can and solve projects also after doing that you must participate in kaggle in order to make your works visible to the world. Thank you dataquest for this wonderful platform.

my experience with dataquest has been fabulous , i have been learning data analysis in python and enjoying a lot because it nevers bores me . the curriculum is well designed which will hook you till the course gets completed . the teachers are well qualified and that can be confirmed after reading the thoeries , its to the point and no bull shits. i really liked the summary documentation which we get after completing the course. im pretty confident that i will crack any data analyst job , all thanks to data quest for building up my confidence. thank you !

I’ve had an excellent experience with Dataquest. The interactive learning approach and hands-on projects truly enhance understanding of data science concepts. The courses are well-structured, catering to different skill levels, and the feedback on projects is detailed and constructive. The platform’s user-friendly interface and clear explanations make complex topics accessible. The real-world applications and practical exercises are particularly valuable for gaining practical experience. Additionally, Dataquest fosters a strong sense of community among learners. The platform encourages peer review of projects, providing valuable feedback and fostering a collaborative learning environment. 

Dataquest is a fantastic online platform for students eager to dive into the world of coding, especially those interested in data science and analysis. The platform's structured curriculum and interactive lessons make learning both engaging and effective.One of the platform's standout features is its hands-on approach. Students are encouraged to apply their knowledge immediately through practical projects, which not only reinforces learning but also builds a strong portfolio.While Dataquest offers a wealth of valuable content, there's room for improvement. Incorporating more visualization tools and techniques could enhance the learning experience, especially for those who are visually inclined.Overall, Dataquest is a highly recommended resource for students seeking a comprehensive and practical introduction to coding.

I am an HR professional without any formal education in data science or IT. Last year, I started with Dataquest, after some research, with the aim to develop understanding of the field and explore the possibility of switching careers. Before DQ, I had taken a few courses from Coursera and a diploma in Big Data Analytics from a university. Initially, I was not very sure about the DQ's methodology but with time I realized that their system is very efficient and perfectly suits my learning style. I would definitely recommend DQ, their content is thorough and methods are simple, reinforcing, as well as without any distractions.

I recently completed a Data Science course on Dataquest, and I’m really impressed. The curriculum is well-organized, starting from the basics and gradually advancing, which made learning smooth and manageable. What stood out most were the hands-on projects—they're real-world scenarios that made the learning experience practical and engaging. Instead of just focusing on theory, I got to apply what I learned right away, which really solidified my understanding.The course is also highly relevant to the industry, covering skills like Python, SQL, and data visualization that are in high demand by employers. I appreciated how the content stays updated with current trends, so I feel prepared for the job market. Overall, Dataquest is a great choice for anyone serious about breaking into data science.

Very good but the only objection is the first project that was hard for me not only to find solution but also to understand the code. Very good but the only objection is the first project that was hard for me not only to find solution but also to understand the code.  Very good but the only objection is the first project that was hard for me not only to find solution but also to understand the code.  Very good but the only objection is the first project that was hard for me not only to find solution but also to understand the code.  Very good but the only objection is the first project that was hard for me not only to find solution but also to understand the code. 

Overall a great platform for self-paced instruction on a variety of technical skills including SQL, Python, R and AI prompts. Geared toward students who favor learning by reading instructions and immediately applying in a GUI interface to submit the answers requested at each learning module. No videos or audio are provided. Biggest frustration is when stuck and if the AI chatbot cannot resolve, a help desk ticket is required and typically disrupts learning - as modules require a correct response to move on. Overall decent if you enjoy learning this way and works for me.

As someone who has explored various online learning platforms, I can confidently say that Dataquest stands out as the best among them. The platform's text-based and project-based approach is particularly effective for mastering data science concepts. Each course is structured to not only provide knowledge but also to apply it through real-world projects, which enhances understanding and retention. If you're serious about gaining practical skills and becoming job-ready, Dataquest is the platform to choose.

If you're new to the data world, make no mistake, but the "Data Science in Python" in Dataquest probably will be intimidating: It's long and full of lessons. But that's the best aspect of it. Whereas other courses barely touch the surface when it comes to programming, the Python course takes a deep dive into every aspect of Python. The best way to learn to program is by practice, no shortcuts, and this course is full of them. From the most basic function to integration with IA, everything is perfectly explained, which is vital if, like me, you're just a newcomer in this world.

This platform even let me know if my course have a new updated version and lets me upgraded with no extra cost. 

It offers a huge amount of content for a reasonable price. And while sometimes the road might be arduous and difficult, it's worth every hour invested, because during the way you're going to learn more than you've ever expected.

 Dataquest is an exceptional platform for anyone looking to advance their skills in data science and analytics. One of its most remarkable features is its interactive, hands-on approach to learning. Unlike traditional learning resources that rely heavily on passive reading or watching videos, Dataquest immerses you directly in coding and problem-solving from the very beginning. This method not only makes the learning process more engaging but also ensures that you gain practical experience with real-world data sets and tools. 
Another strength of Dataquest is its well-structured curriculum. The courses are carefully designed to guide learners from the basics to more advanced topics, all while maintaining a clear and logical progression. Whether you’re just starting out with Python for data analysis or delving into more complex topics like machine learning and data engineering, Dataquest has a pathway tailored to your needs.  The platform also emphasizes immediate feedback, which is crucial for mastering new concepts. As you work through exercises, you receive instant feedback on your code, helping you to quickly identify and correct mistakes. This feature is particularly valuable in a field where precision and accuracy are key.  Moreover, Dataquest’s community support is outstanding. Learners can connect with peers and mentors who offer guidance, share resources, and provide encouragement. This sense of community fosters a collaborative learning environment where users feel supported throughout their journey.  In summary, Dataquest excels in delivering a comprehensive, interactive, and supportive learning experience that equips you with the essential skills needed to thrive in the data science field. 

I would 100% recommend Dataquest to anyone looking to expand and enhance their data science skills.  I was very impressed with the level of detail and how in-depth the learning was (I've tried DataCamp and found their material to not be as in-depth, although DataCamp does offer more content). Dataquest is much more akin to what you'd get from a university's certificate program with tons of project based/hands-on learning. I've been beyond satisfied that I chose Dataquest to help me achieve my goals. 

I have completed my course on data science in python. I have gone through all the assignments and activities. Best part of this bootcamp is that you can read and understand the concept and can practice along side by side you don't have to go somewhere else to practice neither you have to change the tab compiler is inbuilt in half side of the screen. And project after every chapter is something which makes the course unique.

I learnt python from dataquest and trust me it's the best way possible out there for someone who is absolute beginner to get the concepts clear as a crystal. The approach to solve the questions are unique. After reading the theory I was headed to practice where I applied my theoretical knowledge into practical coding. The questions were super relevant and to the point with respect to theoretical knowledge. And after solving questions I was directed to solve some projects which again enhanced my coding skills. I'm truly grateful to dataquest for providing such an exceptional platform where coding never bores me . Thank you !

If you’re looking to build a strong foundation in data analysis using Python, the Dataquest Data Analyst in Python course is an excellent choice. This course is designed to equip learners with the skills and knowledge needed to analyze data effectively and make data-driven decisions.

Course Structure and Content:
The Data Analyst in Python course is structured to guide learners from basic Python programming to advanced data analysis techniques. It starts with the fundamentals of Python and gradually introduces key libraries such as Pandas, NumPy, and Matplotlib. The course then progresses to more complex topics like data wrangling, exploratory data analysis, and visualization. Each module is meticulously designed to build upon the previous one, ensuring a smooth and logical learning path.

Instructor and Delivery:
The course is delivered through an interactive learning platform, which is a hallmark of Dataquest’s approach. The instruction is clear and effective, with a strong focus on hands-on, project-based learning. Instead of passive video lectures, learners engage directly with coding exercises and real-world data problems. This practical approach helps solidify concepts and develop problem-solving skills.

Support and Resources:
Dataquest provides excellent support throughout the course. The interactive coding environment allows learners to practice and apply their skills in real-time. Additionally, the course includes a range of supplementary resources, such as quizzes, projects, and guided solutions, which reinforce learning and provide opportunities for self-assessment. The Dataquest community is also a valuable resource for collaboration and discussion.

User Experience:
The user interface of the Dataquest platform is intuitive and well-designed. The interactive exercises are seamlessly integrated into the course, making it easy to apply what you’ve learned immediately. The course’s pacing is flexible, allowing learners to progress at their own speed while having the option to revisit challenging topics.

I started my membership with Dataquest to deepen my knowledge in data engineering and explore data science. The platform is well-organized and doesn’t overwhelm you with content. Their provided environment allows you to focus on learning without getting bogged down by tedious setup tasks. The technical practice exercises were key in reinforcing my knowledge and were crucial for my learning. Plus, they offer guidence to configure your own environment when needed. I’m very satisfied with the service and the quality of education provided. Dataquest has been instrumental in enhancing my skills and understanding of data roles.