Not Sure Where to Apply?

DataCamp vs Dataquest

Compare and choose the best bootcamp for you

DataCamp and Dataquest teach programming languages SQL, Python, and R throughout their coding bootcamp courses. Both are self-paced and asynchronous, so participants complete lessons flexibly. DataCamp integrates video into many classes. Dataquest, however, is project-based. Both operate through monthly subscriptions, and free trials are available. DataCamp provides individualized content for the user's skill level. Beginners are welcome for either, but Dataquest provides just three programs for those without experience: Data Analyst in R, Data Analyst in Python, or Data Scientist in Python. Overall, DataCamp has multiple course options for various user needs, while Dataquest offers full career tracks.

DataCamp Dataquest
Overall Rating
Courses Intro to Python for Data Science, Introduction to R Python for Data Analysis, R for Data Analysis
Cost Free $29
Location(s) Online Online

What is DataCamp?

DataCamp focuses on providing a personalized learning platform. With hundreds of courses available, individuals can develop a curriculum that matches their experience and career goals. No matter where a student is in their career, DataCamp strives to offer applicable coursework to improve programming skills.

Highlights: DataCamp's subject areas include Python, R, SQL, Excel, Git, Theory, Scala, Tableau, and Power Bi. The curriculum is instructed by industry leaders and academics, emphasizing real-world skills and teaching students how to work with data. Classwork uses video lessons that integrate hands-on practice, including case studies and daily challenges. DataCamp has headquarters in New York, NY, London, UK, and Leuven, Belgium.

Financing/scholarship options: Individuals pay a monthly subscription which includes content and support. New users have access to a free sample of courses. University professors can sign up for DataCamp for the Classroom and add their students for free.

What makes DataCamp unique?

Interested applicants complete ten-minute evaluations with Signal, Datacamp's assessment tool. Questions automatically adapt to a student's performance. Based on the score, a personalized learning plan is developed for each student along with detailed feedback.

Go to DataCamp's full page

What is Dataquest?

Dataquest is a fully online, project-based coding program. Students will have the opportunity to learn essential data science tools, including Python, Git, SQL, and R.

Highlights: Using real data sets, individuals will create code and answer real-world questions. The curriculum is self-paced, so aspiring coders can complete assignments on a schedule that fits their current commitments and lifestyles. Concepts build on one another, and students demonstrate mastery of each new skill before moving to the next one. Students will also receive immediate feedback after submitting their work.

Financing/scholarship options: Dataquest operates on a monthly subscription with both basic and premium options available. Premium memberships include resume review and career coaching. Dataquest has financial-aid-based scholarship programs, with a focus on underrepresented populations in data science.

What makes Dataquest unique?

Dataquest has a community of moderators and peers that are available for advice, mentorship, and problem-solving when students have concerns or need support. Individuals with no prior coding experience may enroll in one of the following programs: Data Analyst in R, Data Analyst in Python, or Data Scientist in Python. Each is designed to prepare graduates for employment in the tech field.

Go to Dataquest's full page

DataCamp Reviews

  • Ridhvik Rohan Oruganti
  • Intro to Python for Data Science
  • Graduated: 2020



Job Support

"@Simplilearn strikes your career----->"SUCCESS""

Learning this course eventually made me improved my coding skills and the tutor explained each and every point in detail by giving various examples. Overall learning the course 'DATA SCIENCE WITH PYTHON" gained my knowledge and the certification adds... Read More

  • Izabela Adamska | Test Lead
  • Intro to Python for Data Science
  • Graduated: 2020



Job Support

"A ton of material, great guidance, great progress"

I love this courses, I feel like to learn something, I need to go throught the material couple times, there are many levels of understanding material and I feel that I'm taking another step. To be honest, I am learning new stuff(or something I was studying... Read More

This form of short video and excersice with slides is just great, because I see somenthing some short theory and I can try this in code, something I've missed at my university of technology - theory often hasn't gone hand in hand with practice or was too hard to understand and do something on my own without looking for answers.

Another thing is that I have two kids and I'm detached from the computer sometimes many times in every hour, I have a lot of duties at home, but thanks to the form of the course, I get the thread again very quickly and know what to do, I have slides, I have content for the exercise, I can go back to the video. Thanks to all of this I have no problem with just sit and do some practice because even if I need to take a break I did one or two excersice, it's just great I'm moving forward even sometimes with small steps but still.

I have read other opinions and I have to mention that I don't understand the problem of copying the code or building a portfolio - to copy just ctrl+c, to build a portfolio it is enough to understand the material and do it, isn't building a portfolio also about putting even the smallest effort into the process? Especially if practically every line of code is described and explained, as well as the whole context.
(my review is about the whole DataCamp courses)

Dataquest Reviews

  • Jaime Lopez Miquel | Industrial engineer
  • Python for Data Analysis
  • Graduated: 2020



Job Support


I started a month ago trying different bootcamps but I really liked the way you can learn with Dataquest. It is always learning by doing and you do not have to wait to see hundreds of videos, only reading brief lessons that are very well explained. Even... Read More

  • Anonymous
  • Python for Data Analysis
  • Graduated: 2020



Job Support

"Decent curriculum, slow platform"

The curriculum is reasonable and the exercise format is good. But the code running platform is rather slow. If you are trying to use the virtual machine on line, you at least will have a lot of ample time to get water breaks. Most exercises could be easily... Read More

Person thinking

Need help making a decision?

We'll match you to the perfect bootcamp for your location, budget, and future career.