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Dataquest Bootcamp Reviews and Complete Guide

Dataquest.io is a self-paced training program for aspiring data scientists, data analysts, or data engineers. The classes are available as part of an annual or monthly subscription and are fully online. The bootcamp offers four career-based curricula. You can become a data scientist in Python, a data analyst in R, a data analyst in Python, or a data engineer.

Do you want a self-paced training program to help you master the basics and intricacies of data science? Dataquest can come in handy. This Dataquest.io review will highlight what the training platform offers.

What Is Dataquest?

Dataquest Quick Facts
Cost Premium subscription: $294 per year or $24.50 per month
Start Dates Rolling start dates
Locations Online
Courses Data Scientist in Python Career Path, Data Analyst in Python Career Path, Data Analyst in R Career Path, Data Engineer Career Path
Available Programs Online, Self-paced

Dataquest offers online courses focused on data analysis with Python and R. The training program has lots of courses in data science topics with different difficulty levels. The main goal of the bootcamp is to teach skills through hands-on learning.

The program is ideal for beginners, but advanced and intermediate students can sign up as well. Some of the top skills covered in this program include how to use SQL, R, and PostgreSQL. It also includes machine learning, probability, statistics, and workflow skills such as the command line and Git.

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Is Dataquest Worth It?

Dataquest is a worthwhile way to learn the basics and intricacies of data science. It is designed for aspiring data scientists with some background in the field. You can participate in the career paths or skill paths to develop the skills you need. These curated courses take students from newbie to job-ready within a short period.

Aside from the fact that the cost is affordable, this program also offers an interactive learning environment, which is more than most of its competitors can say.

However, this coding bootcamp may not be ideal for you if you want to master other relevant skills to enter the tech industry. Since data science is the only program it offers, you’ll have to find another bootcamp if you’re looking for courses in software engineering, web development, UX/UI design, or cyber security.

Dataquest Job Placement

Dataquest doesn’t publish its job placement rates. However, it provides excellent services to help you find jobs in tech that you’re well-suited for.

For a premium subscription, you’ll get access to Dataquest’s career services board. These resources can help with resumes, interviews, and portfolios. You will learn how best to put together your job application materials to impress potential employers.

Does Dataquest Offer a Job Guarantee?

Dataquest does not have a job guarantee for its students. This means that, if you fail to get a job, Dataquest will not refund your tuition. However, the curriculum and career services will give you a great chance of finding gainful employment.

How Much Does Dataquest Cost?

Dataquest is quite different from the regular bootcamp model. It doesn’t operate on a tuition model but a subscription model. This means that access is granted upon subscription. There is a basic free version and a premium version. The latter costs $294 per year or $24.50 per month.

The premium plan gives you access to the entire course catalog, practice problems, over 30 guided projects, and the Dataquest community. It also includes one-on-one support from practicing data scientists to give you a clear idea of the field.

How to Pay for Dataquest: Scholarships, Monthly Subscriptions, Annual Subscriptions

The free version of Dataquest’s program is pretty limited. For those who want complete access to its courses and resources, students have a couple of different ways to cover the cost of a premium subscription.


Dataquest partners with AI Inclusive to assist underrepresented groups in data science. Scholarship recipients receive up to three months of premium Dataquest access.

Monthly Subscriptions

You can start taking Dataquest courses for just $24.50 per month. If you’re not done with your self-paced program after the first month, another $24.50 will get you a second month of access.

Annual Subscriptions

If you’d rather not re-up every month, you can buy an annual subscription for $294. Occasionally, Dataquest will offer a discounted yearly rate to incentivize students to bump their premium subscription up from monthly to annual.

Dataquest Locations

Dataquest only offers online courses. This means you can access its learning resources from anywhere in the world.

Dataquest Courses

Dataquest offers dozens of courses categorized into four career paths, 12 skill paths, and three programming language paths. Since it has programs for all levels of experience, this bootcamp does not have a prep course.

The data science career paths are designed to help students reach their career goals irrespective of their skill level. In this section, we take a closer look at each of the four career-based curricula.

Dataquest Prep Courses

Dataquest does not offer prep courses. With a free subscription, however, students can sharpen their skills with hundreds of practice problems at no charge.

Data Scientist in Python Career Path – Online

Dataquest’s data science path offers in-depth training in data science. It is an immersive program that starts out with learning basic Python skills. It then advances to making predictions with machine learning and statistics.

Students learn to perform basic probability, statistics, and machine learning tasks. They also learn to use libraries like SciPy, NumPy, Matplotlib, pandas, and scikit-learn.

Students also learn linear algebra and calculus. For the machine learning course, students cover fundamental algorithms, linear regression, neural networks, and decision trees.

Data Analyst in Python Career Path – Online

This data analysis course covers Python programming fundamentals. You will learn data analysis using the pandas and NumPy libraries. You will also learn how to clean, interpret, and combine datasets.

It has a hands-on approach where students write code inside a browser. An automatic system checks the work, giving you instant feedback on your work. Students also get to learn front end frameworks, JavaScript, and programming fundamentals.

Data Analyst in R Career Path – Online

The Data Analyst in R track covers all you should know if you want to learn R programming for data analysis. Students learn R syntax fundamentals, data visualization, and data analysis with Tidyverse packages. They also use query databases with SQL.

Like the other career paths, this one is designed for beginners, so you do not need any prior experience. You can start from scratch to learn what you need to become a data analyst.

Data Engineer Career Path – Online

This track focuses on data engineering. You will learn how to develop data pipelines and work with both large and unstructured datasets. The path shows you how to use pandas and Python to work with datasets and load data through Postgre databases.

This path also covers how to build data pipelines and optimize processes for datasets. Some topics in the track include SQL, PostgreSQL, Python, recursion trees, and data structures and algorithms.

What Is the Dataquest Schedule?

Dataquest is different from most bootcamps. It has a more flexible schedule. You can choose how you study. If you are a working professional, this may be an excellent learning program for you.


Self-paced programs allow students to learn at their own pace. Dataquest is considered a self-service learning platform. It is interactive and has a self-paced schedule. Many learners can meet their learning goals in around six months of studying. However, they may need to devote at least 10 hours per week.

How to Get Accepted Into Dataquest

Any interested user can simply register for an account on Dataquest to start learning.

Dataquest Acceptance Rate

No one is rejected from learning at Dataquest, so the acceptance rate is 100 percent.

Application Process

The application process is simple. Anybody can simply sign up and begin to learn. Also, you do not need any previous knowledge of programming or statistics. There are beginner-level courses for that purpose.

  1. Click Start Free on the Dataquest homepage.
  2. Enter your contact information.
  3. Sign up for the free or premium Dataquest package.
  4. If you choose premium, pay your monthly or annual subscription fee.
  5. Pick your path and start learning.

Interview Questions

Dataquest does not have a regular admissions process. This means you do not need to undergo an interview or complete a coding challenge. Simply sign up and start learning.

Is Dataquest Right for You?

Dataquest is an online training program with four main career paths. It is an affordable way to learn the fundamentals of data science. Even though the bootcamp is subscription-based, it offers a scholarship for eligible underrepresented students. Students on scholarships can study for three months without paying anything.

Dataquest also stands out because it offers some free courses. Around a third of its courses are free. This is ideal for people who want to try the courses out without having to commit, just to see if they like the format. The free version has a lot to offer, but students serious about upping their skills may prefer the premium version.

If you do sign up for a premium subscription, you will benefit from resume reviews, guided portfolio projects, and one-on-one support from experienced data scientists. The guided projects walk you through several steps to help you complete a task. This feature makes the classes more interactive. You can also get direct feedback while solving the problems.

Dataquest prepares you for roles in data science, data analysis, and data engineering. The career paths cover specific high-demand skills including PostgreSQL, Python, SQL, R programming, machine learning, probability and statistics, and workflows such as Git.

If you want to learn at your own pace while still getting support and feedback, Dataquest is an excellent program to consider. It is an especially good option for working professionals.

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5 Reviews

Rating 0
Curriculum 0
Instructors 0
Job Assistance 0

5 Reviews


  • Anonymous
    Rating Curriculum Instructors Job Assistance

    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.

    March 26, 2020

  • Anonymous
    Rating Curriculum Instructors Job Assistance

    I tried other online learning paths, Dataquest it’s very complete and a great challenge. In my opinion, the best way to learn!

    April 5, 2020

  • Anonymous
    Rating Curriculum Instructors Job Assistance

    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.

    April 24, 2020

  • Anonymous
    Rating Curriculum Instructors Job Assistance

    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!

    May 20, 2020

  • Anonymous
    Rating Curriculum Instructors Job Assistance

    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.

    July 19, 2020

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