Datacamp vs Codecademy Pro- Which One is Better?

Are you not sure between Datacamp and Codecademy and looking for an in-depth comparison of DataCamp vs Codecademy Pro?… If yes, then this article is for you. In this article, you will get to know which platform is better for you and Why. So give your few minutes to this article and clear your doubts.

So without any further ado, let’s get started-

Datacamp vs Codecademy Pro

Before moving to the characteristics of DataCamp and Codecademy, let’s have a look at the key difference between DataCamp and Codecademy Pro.

Key Differences-

1. DataCamp is good for Data Science learners, and for Python, R, and SQL.
2. DataCamp has video-based courses.
3. DataCamp provides three plans for individuals– Free, Standard & Premium.
4. DataCamp standard plan cost around $12/month.
5. Datacamp provides projects for each course based on your subscription plan.

Visit Datacamp

1. Codecademy is good for learning programming languages such as HTML/CSS, JavaScript, Ruby, jQuery.
2. Codecademy has text-based courses.
3. Codecademy offers two plans- basic and Codecademy pro.
4. Codecademy pro cost around $39.99/month.
5. Codecademy provides only basic skills and knowledge.

Visit Codecademy

So these are the key differences between DataCamp and Codecademy. Now let’s compare both platforms with respect to these aspects-

Datacamp vs Codecademy Pro– About

Datacamp-

DataCamp has a total of 344 courses, 51 skill tracks, and 14 career tracks. DataCamp is the best platform for you, if you want to learn Python and R. In DataCamp, you will get the first chapter of all courses, seven projects, three practical challenges, and one skill assessment free of cost.

Codecademy-

Codecademy was founded by Columbia University students in 2011. The main objective of Codecademy is to teach programming languages. In Codecademy, you can learn approx 12 programming languages such as Ruby, Python, SQL, Java, C++, JavaScript, CSS, HTML, etc. Codecademy provides some free beginner courses.

Codecademy has text-based tutorials where you get 3 columns- documentation, code editor, and virtual browser. So you can learn and code at the same time.

Datacamp vs Codecademy Pro – Price

Both platforms have subscription based model. Let’s see their pricing plans-

Datacamp-

As I mentioned earlier, DataCamp provides 3 three plans for individuals-

1. Free
2. Standard
3. Premium

• In the free plan, you will get access to the first chapter of all courses, seven projects, three practical challenges, and one skill assessment. The free plan is quite limited and not very useful.
• The standard plan offers 335+ courses, 14 career tracks, unlimited skill assessments, and practice challenges, and much more. For the Standard plan, you have to pay $12/month.
• In the Premium plan, you have to pay $33/month and you will get everything that is included in Standard Plan plus 80+ projects, Tableau, Power BI, and Oracle content, and priority support.

Codecademy-

Codecademy has two plans- Basic and Pro.

• In the Basic plan, you don’t need to pay anything and you will get access to all Free courses plus peer support.
• In the Pro plan, you have to pay $39.99 per month, and you will get access to all the course material available on Codecademy. Along with this, you will get access to mobile practice, real-world projects, step-by-step guidance, and certificates after completing the course.

Who is a Winner?

In terms of price, according to me, DataCamp is better. Why because DataCamp provides 335+ courses, 14 career tracks, unlimited skill assessments, and practice challenges in the Standard plan that costs around $12/month.

Datacamp vs Codecademy Pro– Topics Covered

Now let’s have a look at the topics covered and subjects taught by Datacamp and Codecademy-

Datacamp-

DataCamp covers the following topics–

• Data Engineering.
• Programming 
• Importing & Cleaning Data 
• Data Manipulation 
• Data Visualization 
• Probability & Statistics

And DataCamp covers the following technologies–

• R 
• Python 
• SQL 
• Git 
• Shell 
• Spreadsheets 
• Theory 
• Scala 
• Tableau 
• Excel 
• Power BI

Codecademy-

Codecademy teaches the following Programming languages-

• HTML & CSS
• Python
• JavaScript
• Java
• SQL
• Bash/Shell
• Ruby
• C++
• R
• C#
• PHP
• Go
• Swift
• Kotlin

And Codecademy covers the following subjects-

• Web Development
• Data Science
• Computer Science
• Developer Tools
• Machine Learning
• Code Foundations
• Web Design
• Game Development
• Mobile Development
• Data Visualization

Who is a Winner?

In terms of topics covered, both are winners. Because it depends upon what you want to learn. For data science, R, Python, and SQL, DataCamp is good. For other programming languages, Codecademy is a better option.

Datacamp vs Codecademy Pro– Mode of Learning

Now let’s see what learning method both DataCamp and Codecademy use-

Datacamp-

DataCamp provides video-based courses. You have to finish the video lecture and then you can move to the exercises. DataCamp provides a mobile application so that you can learn anytime and anywhere from your smartphone.

DataCamp provides separate courses as well as Career Tracks and Skill Tracks.

Career Tracks are a group of courses specially designed for various Data Science roles such as Data Scientist, Data Engineer, Data Analyst, and Machine Learning Scientist.

Skill Tracks are approximately similar to career tracks but with different intent. In the skill track, you will get a sequence of courses with hands-on-keyboard exercises to master a specific skill set such as Text Mining, Data Manipulation, Data Visualization, etc.

Codecademy-

Codecademy offers text-based tutorials with three column interface- Documentation, a code editor, and a virtual browser. Something like this-

In this interface, you can learn from the text-based tutorial, and then write code in the code editor. The browser automatically checks your code, if it is correct, the browser approves the code. And then you can move to the next chapter.

Codecademy also has a Career Path for different roles such as Data Scientist, Machine Learning engineer, etc. This career path is a group of lessons, where you will learn the skills and work on different projects. After completing the complete career path, you will get a certificate of completion.

Who is a Winner?

I personally love DataCamp in terms of mode of learning. Because DataCamp offers more interactive courses in form of videos.

Datacamp vs Codecademy Pro– Time Commitment

Both platforms are self-paced. You can learn according to your comfort. Now let’s see how much time is needed for DataCamp and Codecademy?

Datacamp-

DataCamp provides 14 career tracks that range from 62-115 hours. And their skill tracks takes around 10-30 hours.

Codecademy-

Codecademy data science career path takes around 35 weeks to complete. Codecademy takes a bit longer time than Datacamp to complete the course.

Datacamp vs Codecademy Pro– Instructors

In DataCamp, there are instructors from various institutions and universities. These instructors will teach you via video lectures.

Whereas in Codecademy, there are no instructors. You have to read the documentation, and then code. As a beginner, it’s quite difficult to learn coding without any instructors.

That’s why in terms of instructors, I like DataCamp. Because there are instructors who teach you and explains each topic clearly.

Who is a Winner?

DataCamp is a clear winner because DataCamp provides enough information about instructors. Whereas in Codecademy only limited information is available about who created the course.

Datacamp vs Codecademy Pro– Community

Community plays an important role in clearing doubts. And both DataCamp and Codecademy have their own community. You can discuss your doubts with other peers in the community.

Datacamp-

In the DataCamp community, you can discuss with peers, along with this, there is a curated list of data science news and articles available from experts.

You can check DataCamp community here. DataCamp community offers 24/7 support to the users.

Codecademy-

In the Codecademy community, you can also take help from other learners. You will also get an FAQ for each course so that you can find your own query or doubt in the FAQ section of the course.

Who is a Winner?

Both platforms have good community support. So according to me, both are winners in terms of community support.

Datacamp vs Codecademy Pro– Who Should Enroll?

Now let’s see who should go for DataCamp and who should go for Codecademy?

Datacamp-

DataCamp is the perfect choice for Data Science enthusiasts. Because DataCamp has 14 career tracks and 51 skill tracks. If you want to learn Python, R, and SQL, then DataCamp is better than Codecademy.

Good For- Data Science, Python, R, and SQL.

Codecademy-

Codecademy is suitable for those who want to learn other programming languages such as Ruby, Java, C++, JavaScript, CSS, HTML, etc. So if you want to learn these languages, then go with Codecademy instead of Datacamp.

Datacamp vs Codecademy Pro– Pros & Cons

Now let’s see pros and cons of both platforms-

Datacamp Pros-

Best for Beginners-

DataCamp is the perfect platform for data science beginners who want to learn data science from zero to advanced level.

2. Provides Valuable Content–

DataCamp provides quality content in form of video lectures and exercises. You can say that DataCamp provides value for money

3. Easy to Navigate-

In Datacamp you can easily search sections like Career Track, courses, etc due to its interactive design.

4. Experienced Experts-

In DataCamp Community, there are around 270+ experts available. You can ask your doubts with them.

5. Clear Pricing Plan-

DataCamp has transparent pricing plans. They clearly mention their plans and what they offer in the plan. This feature is pretty good because lots of platforms don’t have clear pricing plans.

6. Wide Range of Courses

DataCamp has something for everyone. There are different range of courses from beginners to advance level.

Datacamp Cons-

1. Less content in Free Plan-

DataCamp offers the first chapter of each course free. Which I think insufficient. In order to complete the full course, you have to upgrade your account.

2. No Accredited Certificate–

DataCamp doesn’t offer official accreditation. They only provide a Statement of Accomplishment. So if you are looking for an official certificate, then it’s better to go with Coursera or edX. But what you learned on DataCamp is more valuable than the certificate.

Codecademy Pros-

1. Free Courses-

In Codecademy, you can learn coding with various free courses. Codecademy has interactive lessons and practices from where you can learn.

2. Wide Variety-

Codecademy covers a wide range of programming languages such as HTML/CSS, JavaScript, Ruby, jQuery.

3. Supportive Community-

Codecademy has a strong and supportive community with coaches, advisors, or other graduates to help answer any questions and doubts you may have.

Codecademy Cons-

1. No Instructor Bio-

Codecademy doesn’t provide enough information about instructors. Only limited information is available about who created the course.

2. Can’t Skip Lesson-

The thing which I don’t like about Codecademy is you can’t skip the next lesson without completing the previous one. It becomes irritating sometimes because if you already know the topic and don’t want to re-learn it. And also you can’t revisit the lesson which you have done previously. This is also sometimes irritating.

3. Lack of Quality Projects-

Like in DataCamp, there are various quality projects available. But in Codecademy, you can learn the basics and syntax. Codecademy doesn’t provide quality projects.

4. Not Accredited–

Codecademy only provides a certificate of completion. But it is not accredited. If you are looking for accreditation, then it’s good to check Coursera and edX.

Conclusion-

As we saw that both platforms offer good quality content. But DataCamp beat Codecademy in various aspects.

So I would suggest, If you are a data science learner( Python, R, SQL), then start learning on DataCamp. But if you want to learn other programming languages (HTML/CSS, JavaScript, Ruby, jQuery.), then learn on Codecademy.

Thank YOU!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden