Best For | Dataquest is best for learning data science through hands-on coding, making it great for self-paced learners on a budget. | Udacity is best for structured learning with mentor support, making it ideal for those seeking career-focused programs with real-world projects. |
Pricing | $29/month | $399/month |
Features | Interactive coding |
|
Pros | Affordable | Mentor support |
Cons | No video lessons | Requires more time commitment |
When I first started exploring data science, I couldn’t decide between Dataquest and Udacity. Both seemed great, but they had very different approaches to learning.
Dataquest focused on hands-on coding directly in the browser, making it interactive and easy to jump in. Udacity, on the other hand, offered structured video lessons from industry professionals, giving it more of a traditional classroom feel.
So, which is the better choice? Honestly, it really depends on your learning style. I’ve used both, and each has its own strengths and weaknesses. In this Dataquest Vs Udacity comparison, I’ll go over the key differences to help you decide which one might work best for you.
Let’s get in!

DataQuest vs Udacity: An Overview
Also, Read:
Udacity offers a variety of specialized Nanodegrees across different fields, each housed under their own “schools.” Some of these schools include:
- School of Artificial Intelligence
- School of Cloud Computing
- School of Car Engineering
- School of Autonomous Systems
- School of Business
- School of Data Analysis
- School of Programming
Additionally, Udacity provides scholarship opportunities for several of its courses.
Choosing the right online course can be a bit overwhelming since there are many factors to consider before making your decision. Let me break down the key differences between the Data Science courses offered by Dataquest and Udacity to help you make a more informed choice.
DataQuest vs Udacity: Courses Offered
DataQuest Courses

Dataquest carves a career path for you as a Data Analyst in R, Data Analyst in Python, Data Scientist in Python, and Data Engineer. Some of the courses they offer are listed below.
- Python for Data Science: Fundamentals
- Learn the basics of Python programming and learning data science.
- Python to learn Data Science: Intermediate
- Pandas & NumPy Fundamentals
- Storytelling Through Data Visualization
- Learn advanced techniques for cleaning data analysis in Python.
- Machine Learning Fundamentals
- Data Cleaning and Analysis
- Exploratory Data Visualization
- Data Cleaning in Python: Advanced
Udacity Courses

Udacity offers Nanodegree courses in data science. Here is a list of a few courses apart from data sciences offered at Udacity Nanodegree.
- Introduction to Genetics for Beginners
- Intro to Programming in Java: Learning Java
- Introduction to Computer Science: Building a Search Engine
- Design of Computer courses: Programming Principles
- Web Development: How to Build a Blog
- Game Development: Building High-Performance Web Applications
- Mobile Web Development: Building Mobile Web Experiences
- Introduction to Parallel Programming: Using CUDA to Harness the Power of GPUs
- Software Testing: How to Make Software Fail
- Introduction to Artificial Intelligence: AI-Class
- Interactive Rendering: Introduction to 3D Computer Graphics
- Intro to Theoretical Computer Science: Dealing with Challenging Problems
Learning Methodology
Dataquest:

Dataquest’s approach centers on hands-on, self-paced learning. The platform offers interactive coding lessons where you get to solve real-world problems as you learn. Instead of watching long video tutorials or reading through text-based content, you dive straight into coding exercises and projects.
This approach helps you develop problem-solving skills and reinforces the material as you progress. The immediate feedback you receive after completing exercises helps you identify mistakes and improve.
This method is ideal if you learn best by doing, especially if you’re someone who enjoys figuring things out through practice rather than passive learning.
However, it might be a bit overwhelming for learners who prefer a bit more guidance in the form of structured lectures or explanations along the way.
Udacity:
In contrast, Udacity offers a more structured and guided approach to learning. Each course, especially their Nanodegrees, is built to guide you through a clear and organized roadmap.
You get video lectures, quizzes, and projects that help you understand concepts in a sequential manner. The courses are designed by industry experts and are generally more in-depth than Dataquest’s lessons.
Udacity’s structured format can be very helpful for those who prefer a more detailed, step-by-step approach to learning. It’s perfect if you like to have things laid out for you and want a clear progression through the course materials.
Support Community Interaction vs. Mentorship and Feedback
Dataquest:

Dataquest offers a community-based support system. Learners interact on forums where they can ask questions, share progress, and discuss challenges.
The community is smaller compared to other platforms, but it’s tight-knit and focused primarily on data science. You’ll get support from fellow learners who have similar interests and goals.
However, there’s no personalized mentorship available, and responses on forums might not always come as quickly as you’d like.
If you’re someone who prefers to learn independently and doesn’t mind troubleshooting on your own, Dataquest’s community support might be enough. But for learners who need more guidance, it might feel a little limiting.
Udacity:

Udacity stands out by offering more direct and personalized support. When you enroll in a Nanodegree, you get access to a personal mentor who provides one-on-one guidance throughout the program.
This mentorship can be invaluable if you need extra help with assignments, want clarification on difficult concepts, or just need career advice. In addition to mentors, you have access to a larger peer community, which provides ample opportunities for collaboration and group projects.
If you prefer having expert guidance and feedback on your work, Udacity’s structured support system offers a more robust and responsive learning environment.
Job Support Skill Building vs. Career Coaching
Dataquest:
Dataquest is primarily focused on skill development rather than job placement. You’ll learn important technical skills that are crucial for data science and analytics, and you’ll build a portfolio of projects that you can showcase to potential employers.
While Dataquest offers great hands-on learning and can help prepare you for interviews, there’s no direct job placement assistance.
You’ll need to take the initiative in your job search, using the skills you learned on the platform to break into the job market.
Udacity:

Udacity offers a more comprehensive approach when it comes to job support. Nanodegree students get access to career services, including resume reviews, interview coaching, and job search support. Additionally, Udacity partners with major companies like Google, IBM, and Facebook, offering learners opportunities to get noticed by top employers.
Udacity’s career coaching and job support are particularly beneficial if you want to make a seamless transition into a tech career.
The job-focused assistance that Udacity offers can be a game-changer for learners who are looking to land a job in the tech industry quickly after completing their course.
If career services and job placement are important to you, Udacity’s support is a big plus.
Who Are The Instructors On These Learning Platforms?
The faculty and tutors in Dataquest are in-house. However, reviews have it that students are very satisfied with the in-house instructors.

On the other hand, Udacity hires instructors who are professionals in the field. They have expert instructors who mostly come from the industry, such as Google.
What Certifications Are Offered?
Although Udacity used to issue certificates earlier, they have stopped issuing certificates now. Even if you are willing to pay, they won’t be handing you over with a certificate for course completion.
Dataquest, on the other hand, provides all students with a certificate at the end of the course, which can be downloaded in a PDF format or added to your LinkedIn. This certificate can be attached to your resume while applying for a job. It will definitely prove to be advantageous.
Dataquest vs Udacity: Pros and Cons
Dataquest Vs Udacity User Reviews
Dataquest Customer reviews

Udacity Customer reviews

Credit: G2 Reviews
FAQs: Dataquest Vs Udacity Comparison
👉Do both the platforms provide a certificate of completion of the course?
Certification for completion of the course is only provided by Dataquest. Udacity does not provide the learners with a certificate even if they are willing to pay for it. But they are well recognized and accepted while applying to a job.
👉Do the platforms offer any other courses?
Dataquest offers courses specific to learning Data Science. All the courses provided are categorized under the main domain of Data Science. Meanwhile, Udacity has various courses in different schools and is not restricted to only data science. YOu can get more information on the links provided in the blog
👉What is the duration of the courses?
All the courses on the platforms are self-paced, which means you can complete them as per your feasibility. There is no stipulated time as to when the courses have to be finished. But usually, the course takes about 4 to 6 months to complete, depending on one’s learning pace.
👉 Is the fee charged per course?
The charges for you to enroll in the learning courses are on a monthly basis. You will have to pay according to the number of months you take to complete the course you have applied to.
👉 Is Dataquest worth the money?
There is no doubt that Dataquest is worth it. You will have the opportunity to work with real-world data sets and be motivated to finish projects that are relevant to the real world when you use Dataquest's many learning paths, which make it possible for you to learn how to code.
👉 Does Dataquest make you job ready?
Students participate in this course to improve their professional portfolios while also getting the training necessary to become data scientists who are job-ready. The essentials of the command line, Python, and SQL are covered in these courses. Deep learning, Kaggle, and Apache Spark are three other tools that students use to investigate probabilities, statistics, and machine learning.
Quicklinks:
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Conclusion: Dataquest Vs Udacity Comparison 2025
Overall. Both Udacity and Dataquest have great reviews and offer excellent Data Science courses.
Udacity is much more expensive several times the cost of Dataquest but includes mentorship and project reviews for extra guidance.
Dataquest has an award-winning curriculum and strong student success. While it lacks one-on-one support, it offers community and learning resources for education and career growth.
If you’re self-motivated, Dataquest is a budget-friendly way to reach your learning goals.





