Datacamp vs Codecademy


You thought about taking a course on programming and came across Datacamp. Later, you also saw an ad for DataCamp. You like both websites but which one should you choose? To help you solve this dilemma, let’s dive into the detailed comparison of Datacamp vs Codecademy.

DataCamp and Codecademy Comparison

FocusData science, data analysisGeneral programming skills
LanguagesPython, R, SQLHTML & CSS, JavaScript, Java,
Python, R, SQL, Ruby,
C, C#, C++, R, PHP, Go, Swift, Kotlin
Courses370 courses150 courses
Skill pathsover 50 skill pathsover 40 skill paths
Career path12 career tracks9 career paths
Pricefree or $12 ($15) / mofree or $16 ($20) / mo

Codecademy has a wider focus when it comes to the list of courses offered. Particularly, there are programs on a bunch of different programming languages for different goals while Datacamp has only R and Python classes for the main purpose – working with data. However, Datacamp lets you dive deeper when it comes to data science or data analysis.

Meanwhile, both online companies offer two types of learning, career paths (in Codecademy or tracks in Datacamp) which consist of more courses and therefore take more time to complete and skill paths (skill tracks) which are a shorter set of classes.

As for the price, both providers have a free basic subscription plan. As for paid ones, Codecademy offers a cheaper package at $16 per month.

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Datacamp vs Codecademy Courses

To start with, these two companies have a slightly different focus. Codeacademy is built around learning programming skills for different tasks and DataCamp’s focus is programming for data analysis.

Courses & programming languages

Codeacademy offers courses on a huge range of programming languages. It has at least one course for each language from the list above. So, it’s a good option if you want to learn the basics of the chosen programming language—the majority of such courses are free. Moreover, Codeacademy has a few courses on specific subjects like data analytics, cybersecurity, web design, etc, which are usually paid.

DataCamp has a more specific focus. The company offers courses on three programming languages (Python, R, and SQL) and is aimed at learning data-related skills. So, this platform is good if you want to learn the fundamentals of Python, R, or SQL as well as to dive into a particular topic within data science. The company has also courses on Excel, Power BI, Tableau, and other tools needed for working with data. In a nutshell, the majority of courses on Datacamp help in getting knowledge of how to work with data (e.g. clean it, visualize it, etc). 

When it comes to navigating through the websites to find the needed course, Datacamp has a useful filter to select a programming language and topic. This filter is available on the page with all courses. Meanwhile, Codecademy doesn’t have one which makes it harder to find the course of interest.

Programming languages on Codeacademy

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

Programming languages on DataCamp

  • SQL
  • R
  • SQL

Long online programs

Meanwhile, both online companies offer two types of longer programs (set of single courses): career paths (in Codecademy or career tracks in DataCamp) and skill paths (DataCamp has skill tracks); they are.

Skill tracks (Skill paths)

Skill tracks are a set of courses that are aimed at learning a particular skill or a number of related skills. These programs are shorter than career tracks (career paths). Codeacademy offers 40 skill paths, while DataCamp has over 50 skill tracks. 

Skill tracks by DataCamp

  • Python Fundamentals
  • Importing & Cleaning Data 
  • R Programming
  • Importing & Cleaning Data 
  • Data Visualization 
  • Data Manipulation 
  • Statistics Fundamentals
  • Data Manipulation 
  • Time Series 

Skill paths by Codecademy:

  • Analyze Business Data with SQL
  • Analyze Data with Python
  • Build Chatbots with Python
  • Build Websites for your Business
  • Build a Machine Learning Model with Python
  • Design Databases With PostgreSQL

Career tracks (Career paths)

Career tracks are also set of single courses but this type of program is longer and is designed to prepare a person for starting a new career. Codeacademy offers 9 career paths, while DataCamp has 12 career tracks. 

Career tracks by DataCamp

  • Data Analyst with Python
  • Data Scientist with Python
  • Data Analyst with R
  • Data Scientist with R
  • Python Programmer
  • R Programmer

Career paths by Codecademy:

  • Back-End Engineer
  • Computer Science
  • Data Analyst
  • Data Scientist
  • Front-End Engineer
  • Full-Stack Engineer
  • iOS Developer


Both companies have real-life projects to practice new skills. DataCamp has around 100 projects and almost all of them are guided. Codecademy only has 25 projects but a wider list of subjects.  All in all, DataCamp is a better choice to practice data-related skills on real-life projects while Codecademy.


Codecademy has a wider focus when it comes to the list of courses available. Particularly, there are programs on a bunch of different programming languages for different goals. Meanwhile, Datacamp has only R, Python, and SQL courses for the main purpose – working with data. However, Datacamp lets you dive deeper when it comes to data science or data analysis.

Codecademy vs Datacamp Pricing

Free content

Both companies have free plans so you can have some content at no cost. However, Datacamp offers quite limited free content—those are the first chapters of courses. At the same time, Codecademy offers more in terms of free content—you can take completely full courses without paying, and there are options to choose from.  

Paid plans

Both DataCamp and Codecademy have paid plans as well.

Codecademy’s price of the PRO plan is $16 per month if billed annually and $20/mo if you want to pay on a monthly basis. What makes this plan different from a free one is that it gives access to more courses (including skill and career paths), real-life projects, peer support, and also gives you a certificate upon completion.

DataCamp’s price for the Premium plan is cheaper; it costs $12 per month (if billed annually) or $15 for a monthly-based payment. Moreover, the company often runs sales. DataCamp offers the first chapters of each course for free but then, you need to pay to get more. Paid subscription by DataCamp also gives access to additional content like coding projects or employment-related support. 

Finally, both companies have separate plans for teams.


Companies have similar pricing models and provide basic content at no cost. When comparing their paid options, DataCamp’s paid plan is cheaper than Codecademy. Meanwhile, Codecademy offers more content for free.

Datacamp vs Dataquest Job Services

A lot of online learning platforms today offer additional services to help with finding a job after finishing a course. DataCamp has such services. The company allows to create a professional profile, get support, and get access to jobs listed on DataCamp. Moreover, you earn a certificate upon completion, which you can use for your CV or Linkedin profile.

Meanwhile, Codeacedemy doesn’t offer job-related services. However, you get a certificate upon competition its course. 

DataCamp vs Codecademy Pros & Cons

So let’s recap the advantages and disadvantages of both e-learning companies.


  • More courses and programs to choose from
  • A specific focus on data science and data analysis as well the ability to learn almost any subject within these fields
  • Paid plans are cheaper
  • Useful filters to choose the course or program for your needs
  • Additional career services
  • Not a good option if you want to learn a specific language other than Python or R
  • Free content is very limited


  • A lot of programming languages to choose from
  • A lot of completely free courses 
  • Paid plan is more expensive and it’s needed for exercises and receiving a certificate.
  • No career or additional services

To get detailed information about each company, check out this review of DataCamp or this review of Codecademy if you want more information on each company.

Datacamp vs Codecademy: Bottom line

So, both companies are good and have a lot of similarities in what they offer; however, they have even more differences. DataCamp is good for those who want to dive into data science or data analysis and do it at an affordable cost. Codecademy is better for those who are beginners and want to learn a coding language for free (more advanced coding courses are paid and are more expensive than what DataCamp offers).

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