Datacamp and Codecademy are two of the most popular online coding courses available today. Both of these platforms offer high-quality courses that teach students how to code from scratch. Which one is better? That’s a question that has been on many programmers’ minds. So which one should you choose? In this blog post, we will compare the two platforms and determine which is the better choice for you.
Datacamp
Datacamp is an online course platform that offers a variety of courses on a wide range of topics. The courses are taught by experts in their field, and they offer a variety of courses, including programming, design, data analysis, and more. There are a variety of courses on Datacamp, and they are all offered at a fraction of the cost of traditional universities.
Datacamp offers a variety of tools that help users learn and progress in their courses. These tools include an interactive learning platform and a discussion forum. Datacamp also has a library of resources, including videos, articles, and exercises.
Datacamp's courses are designed for beginners and experts. They're divided into three levels: Basic, Intermediate & Advanced. Each level has several courses that you can choose from. You can either take the courses one at a time or you can enroll in an accelerated program that offers a 10-week course and a final exam.
What is Codecademy ?
Codecademy is a website and online course provider that offers free, self-paced courses in programming, data analysis, web development, and more. The website offers a variety of courses for different levels of experience, from beginner to advanced. Codecademy has a wide range of courses that cover a variety of programming languages and technologies. Their beginner’s course covers Python, JavaScript, HTML/CSS, and basic databases. Their intermediate course covers more advanced topics such as object-oriented programming with Java and Ruby on Rails. And their advanced course covers more cutting-edge technologies such as ReactJS and Node .js. Codecademy also offers a variety of instructor-led courses that teach real-world skills in programming and data analysis. Their instructor-led courses include courses on machine learning with scikit learn, building scalable web applications with MongoDB, and creating graphs with R.
What's in their Catalog?
Datacamp and Codecademy offer a variety of languages to their users, from beginner to advanced. Here's a quick glance at the languages & techonologies they offer:
Languages
|
Datacamp |
Codecademy |
Python | Python | |
R | JavaScript | |
SQL | HTML & CSS | |
Power BI | SQL | |
Shell | Java | |
Tableau | C++ | |
Excel & Spreadsheets | C# | |
Git | Bash | |
Julia | C | |
Scala | PHP | |
R | ||
Swift |
Apart from languages and technologies both learning platforms have an array of topics that are covered:
Topics Covered |
Datacamp |
Codecademy |
Probability & Statistics | Web Development | |
Machine Learning | Data Science | |
Programming | Computer Science | |
Data Manipulation | Web Design | |
Data Visualization | Cybersecurity | |
Applied Finance | Machine Learning | |
Case studies | ||
Importing & cleaning Data | ||
Data Engineering | ||
Reporting | ||
Management |
Takeaway: Datacamp is a platform that offers a variety of courses on various tech topics. Codecademy, on the other hand, offers online courses on computer programming languages. While both platforms have their strengths, Datacamp might be a better option if you're looking for more specific courses or want to take multiple courses at once. Codecademy is great for beginners who want to learn basic programming concepts, but it's not as comprehensive or specific as Datacamp.
Guided Career Tracks
Datacamp and Codecademy both have guided career tracks for various professions. These career tracks are designed to help you prepare for a specific career. They use the data-driven approach of our platform by incorporating lessons from various courses from the DataCamp system. This order is designed to take you from A-Z in preparation for that future career.
Career Tracks |
Datacamp |
Codecademy |
Data Analyst with Power BI | Full-Stack Engineer | |
Data Scientist with R | Back-End Engineer | |
Data Scientist with Python | iOS Developer | |
Python Programmer | Front-End Engineer | |
R Programmer | Computer Science | |
Data Engineer with Python | Data Scientist | |
Machine Learning Scientist with R | ||
Machine Learning Scientist with Python |
Datacamp and Codecademy are two popular online platforms for learning how to code. Datacamp has a more traditional guided career track, while Codecademy offers self-paced courses. Here is a look at the key differences between these two resources:
Datacamp’s career track provides a more comprehensive experience than Codecademy’s self-paced courses. Datacamp offers a range of modules, including “Foundations of Data Science” and “Advanced Python for Data Science.”
These modules provide a comprehensive introduction to data science concepts and help students build foundational skills in programming, statistics, and machine learning.
The career track also includes online tutorials and assessments that help students measure their progress and ensure they are mastering the skills they need to succeed in data science careers. Codecademy offers self-paced courses that allow users to engage with coding in their own time. Codecademy provides users with interactive coding challenges and tutorials that teach basic programming concepts.
Takeaway: Both platforms have active communities of students and professionals, so you’ll be able to find help if you need it. Overall, Datacamp is the better choice if you want to take your data science skills to the next level.
How pricing works for Datacamp & Codecademy
Here's a quick breakdown of pricing of Datacamp & Codecademy:
Plan |
Datacamp Basic |
Codecademy Basic |
Price | Free | Free |
What's included | Every first chapter free Selection of free courses (6) Free professional profile and job board access Upgrade to earn certificates |
Basic access to free courses Community support Learning resources Practice on our mobile app (limited) |
Plan |
Datacamp Premium |
Codecademy Pro Lite |
Price | $6/month | $18/month |
What's included | Access our full content library All certificates and projects Go from zero to job ready Our top Python, SQL, Tableau, Power BI and R programs More ways to learn to code |
Everything in basic and… All courses |
Plan |
Datacamp Teams |
Codecademy Pro |
Price | $12 | $30 |
What's included | Everything in Premium plus and…
Manage your group |
Everything in Pro Lite and…
Career paths |
Takeaway: Datacamp offers a much better pricing model than Codcademy. For example, Datacamp's monthly plan is only $6/month when compared to Codcademy's $18/month subscription. Additionally, Datacamp offers a 100-day free trial, whereas Codcademy only offers a 14-day free trial. Finally, Datacamp has more than twice the number of courses as Codcademy.
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Learning style in Datacamp & Codecademy
Datacamp and Codecademy offer different learning styles for learners. Datacamp provides a more hands-on learning experience while Codecademy focuses on providing more instructional videos and tutorials.Both services have their strengths and weaknesses, but overall, they are both good options for learning new programming languages or techniques.
– Datacamp is great for people who want to learn coding hands-on. The platform has a wide variety of tutorials that focus on different programming languages and frameworks. The tutorials are well-written and easy to follow, even for beginners.
– Codecademy is also not as comprehensive as Datacamp when it comes to teaching programming topics. Datacamp is better for people who want to learn in a more instructional environment. The site has a large selection of instructional videos and tutorials that cover a wide range of programming topics. These videos are well-produced and provide detailed explanations of the concepts being taught.
– Another downside of Codecademy is that the videos can be time-consuming to watch. They are also more expensive than Datacamp, which can be a deterrent for some learners.
Conclusion
Both platforms provide multiple career tracks in this field and handy features such as an online community, video tutorials, and projects. These online learning platforms have basic courses in a wide range of skill tracks.