Datacamp Review: Details, Pricing, Pros & Cons

Fact-checked by Layla Varela
Updated on: June 6, 2023

Are you interested in coding, data science, AI, and machine learning? Well, if you are in this article because you have heard something about Datacamp, we will tell you everything you should know.

Datacamp is an online learning platform designed to help students interact to build their programming skills, data science, and analytics with interactive courses and tutorials. 

With a program of 350+ courses in more than 10 different technologies, they offer classes with ultimate experiences, including data skill assessments, track of progress, personalized recommendations, interactive courses, and experts as teachers.

In Datacamp, you can find courses focused on:

  • Python
  • R Programming
  • Theory
  • SQL
  • Power Bi
  • Spreadsheets
  • Tableau
  • Julia
  • Shell
  • Docker
  • Excel
  • Scala

And more…

Datacamp was founded in 2013 by Jonathan Coernelissen, Martijn Theuwissen, and Dieter De Mesmaeker to democratize data skills, reaching companies, teams, and individuals with the skill they need to work with data in the real world.

The platform now has over 780.000 subscriptions, including more than 2.500 companies and 3.000 academic organizations from approximately 180 countries.

DataCamp Review: Features

  • Over 350 courses in data science
  • Courses in more than 10 different categories
  • Experienced teachers
  • Practice tasks
  • Challenges, quizzes, games, and competitions 
  • Live events
  • Projects
  • Tracking of your progress
  • Courses for companies and teams of any size
  • Certifications of completion
  • Blog

DataCamp Review: Pros and Cons

Interactive learning experience
Practical approach
Comprehensive course catalog
Skill tracks and learning paths
Quality content and instructors
Flexibility and self-paced learning
Learning Community
Career Advancement
Limited depth and specialization
Lack of real-time interaction
Limited hands-on projects
Reliance on DataCamp’s coding interface
Subscription-based pricing model
Dependency on DataCamp platform

Who should use Datacamp?

This platform is for people interested in acquiring or enhancing their data science and analytics skills, but apart from that, Datacamp can be for an extensive range of people. 

Let's see:

  • Students: If you're looking to complement your studies, covering topics you would like to use in your future studies or future job, Datacamp is for you.
  • Professionals: Because data analysis can be related to many topics, Datacamp can help you enhance your skills or learn new things.
  • Beginners: This platform is perfect for beginners, offering structured and guided courses.
  • Data Lovers: This platform also offers intermediate and advanced courses that cover an extensive range of topics to expand their knowledge.
  • Data Analysts and Data Engineers: Datacamp offers this group of people the opportunity to get better at what they do and even get up-to-date with the latest tools and techniques in the industry.

Best Datacamp Courses:

Introduction to PythonHugo Bowne-Anderson4.883.622
Introduction to RJonathan Conelissen2.501.372
Intermediate PythonHugo Bowne-Anderson951.266
Data Manipulation with PandasMaggie Matsui, Richi Cotton285.171
Data Visualization with ggplot2Rick Scavetta37.113

Introduction to Python


What you will learn: In this course, you will learn the basics of Python, understanding the standard functions and applications, like the calculator, to variables, types, and lists.

  • 4 Hours
  • 11 Videos
  • 57 Exercises
  • For Beginner
  • Certification

Introduction to R


What you will learn:  You will learn the skills and knowledge acquired from this training program and be able to independently perform your own analysis using the R software platform efficiently.

  • 4 hours
  • 62 Exercises
  • For beginners
  • Certification

Intermediate Python


What you will learn: In This intermediate-level course, you'll gain the expertise to visualize actual data using Matplotlib's functions and become familiar with data structures like dictionaries and pandas DataFrames.

  • 4 hours
  • 18 Videos
  • 87 Exercises
  • Certification
  • For Beginners

Data Manipulation with pandas


What you will learn: you'll discover the reasons behind pandas' status as the most widely used Python library globally, serving various purposes ranging from data manipulation to data analysis. 

  • 4 Hours
  • 15 Videos
  • 56 Exercises
  • For Beginners
  • Certification

Intermediate Data Visualization with ggplot2


What you will learn: You'll learn how to calculate statistics dynamically within your plots and discover how using Coordinates and Facets can enhance the clarity and effectiveness of your visual communication.

  • 4 Hours
  • 14 Videos
  • 52 Exercises
  • For Beginners
  • Certification

What is a lesson like?

The platform offers a lot of options in the data topic, so when you are ready to choose from all those options, you will get a complete program of the course, for example, here:


And then, you will get to choose from all the Paths that the program has to offer you:


So you can choose what is better for you and your actual knowledge.

For every Path, you will get classes of 4 or 6 hours until you complete the entire section.

DataCamp Practice Mode

After you have finished the course, you will unlock the Practice Mode; this outstanding feature is designed to let you practice building data sets, templates, and more.

The great thing about this is that everyone can use it; if you are a beginner, the program will adapt to you and help you write your first lines of code. If you have more knowledge, you can expect more complex exercises.

Let me show you some examples of the spreadsheet you will get:


Practice Mode includes daily challenges while building data sets and templates. Also, this is what you can expect from it:

  • No installation required
  • Pre-built templates
  • All skill levels are friendly
  • Live training in code
  • Chance to see others work
  • You can choose from Python or R
  • Pre-configured and pre-installed packages

Who are DataCamp's instructors?

DataCamp instructors are passionate about their areas of expertise and have practical, hands-on experience in data science, programming, data analysis, machine learning, and related fields. 

Every instructor and course is reviewed and approved by DataCamp's teams to make sure you have the best experience; here is the list of the instructors of the best practices in the platform.

  1. Hugo Bowne-Anderson: Data Scientist at DataCamp
  2. Jonathan Cornelissen: Co-founder of DataCamp 
  3. Hugo Bowne-Anderson: Data Scientist at DataCamp
  4. Maggie Matsui and Richi Cotton: Curriculum Manager & Data Evangelist
  5. Rick Scavetta: Co-founder of Scavetta Academy

DataCamp Review: Membership and prices

Join as Student

Monthly subscription:

For $12.42, you can get the following:

  • Access to all content
  • Certificates and projects

You can get Free Access, but only to the first chapter, and no certificates.


For $12.42 monthly, you can get:

  • Teams of 2 and up
  • Get to manage your group
  • View activity and track the group
  • License management tools


If you are interested in having groups of more people, we suggest contacting the sales team for the pricing and a request for the Demo. With this option, you can get:

  • Personalized and adaptive learning paths for Employees
  • Analytics and reporting integrations
  • SSO, Okta, Auth0, azure and more
  • LMS/LXP integrations

Join as a Workplace


Premium: For $16.59 monthly, you can get the following:

  • Creation unlimited of workspaces
  • Collaborate as a team
  • 16GB RAM, 8 CPUs
  • Access databases via fixed IPs
  • Version history up to one year
  • 2-year inactivity timeout

You can get started with the Free option, too, but with only 3 workspaces and a 30-minute inactive timeout.

Join as a Recruit


If you are looking for a place to find, hire and scale your data teams, this is the place.

Pro: This option is for companies with 4 people. For $249 monthly, you can get the following:

  • 20 matches per month
  • Access to the certified talent pool

Starter: This option is for Companies that still need to know their needs. With this option, you can get:

  • 5 matches per month
  • Unlimited job posts
  • Unlimited seats

Join as an Instructor

DataCamp looks to build the world's best platform of data skills online, and if you have the knowledge to do that, they have places for you to join their team.

To join as an instructor in DataCamp, you can follow these general steps:

  1. Assess Your Expertise: DataCamp seeks instructors with practical experience, industry knowledge, and the ability to effectively teach and engage learners.
  1.  Prepare Course Proposal: Develop a course proposal outlining the topic, learning objectives, course structure, and potential content. 
  1. Showcase Your Expertise: Prepare supporting materials such as a resume, portfolio, or links to relevant work or projects demonstrating your expertise.
  1. Collaboration and Course Development: If selected, you will work closely with DataCamp's instructional design team to develop and create the course content.
  1.  Review and Iteration: The course content will undergo an internal review process to ensure its quality, accuracy, and alignment with DataCamp's standards. 
  1.  Launch and Engagement: Once the course is finalized, it will be launched on the DataCamp platform. As an instructor, you will engage with learners too.

If you want to know more, check their website or contact DataCamp for more accurate information and instructor opportunities.


How much does DataCamp cost?

The cost depends on your subscription; it can go from $12.99 to $249 or more.

Can I access DataCamp courses offline?

DataCamp primarily operates as an online platform, so an internet connection is required to access and complete the courses. Offline access is not available by default.

Is there a certificate provided upon completing DataCamp courses?

Yes, DataCamp provides certificates of completion for each course that learners successfully finish. These certificates can be shared on professional networks and resumes.

Can I cancel my DataCamp subscription?

Yes, you can cancel your DataCamp subscription at any time. However, course access will end when the subscription is canceled or expires.

Does DataCamp have a free trial?

DataCamp offers a free trial period to new users. The free trial typically allows users to explore a limited selection of courses and access a subset of the platform's features. 

DataCamp Alternatives

DataCamp vs. Coursera

Coursera offers a broader selection of courses from different subjects and institutions, with more flexibility in enrollment and certification options.

Udacity vs. DataCamp

Udacity offers career-oriented courses and nanodegree programs emphasizing real-world projects and flexible learning options.

DataCamp vs. edX

edX offers courses from prestigious institutions on a broader range of subjects, including data science, with free and paid options and opportunities to earn certificates or pursue more in-depth programs.

Codecademy vs. DataCamp

Codecademy offers coding courses across multiple languages, including data science, focusing on interactive coding exercises and a broader range of programming skills.

Is DataCamp worth it?

DataCamp is ideal for individuals seeking to enhance their data science skills. It offers interactive courses to build practical skills applicable to real-world data analysis and problem-solving. 

With structured learning paths, learners are guided through the curriculum while being part of an active community that provides feedback and support. Additionally, DataCamp's flexible subscription options make it an affordable choice.

Want to Learn More?

Carolina Builes is a technology writer with more than 3 years' experience covering artificial intelligence, digital media, and tech innovations. She distills complex topics into accessible, engaging content to educate broad audiences. Carolina believes that quality STEM education resources should be available to all, and her informative writing helps demystify topics like coding, cybersecurity, and emerging tech.
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