DataCamp Review 2022: Are DataCamp Courses Worth Your Time And Money?

DataCamp Review 2022

Founded in 2014 by Belgian data scientists Jonathan Cornelissen, Martijn Theuwissen and Dieter De Mesmaeker, DataCamp specializes on online courses that majorly revolve around data science and R Programming topics. The platform utilizes a web-based code editor to provide hands-on coding training for beginners and advanced learners alike. Python, R and SQL courses make up the bulk of DataCamp’s courses.

Is Data Camp For Me?

DataCamp is ideal for experienced and aspiring data scientists. It covers everything from data science to machine learning. Although coding is not the core subject, they still have some coding courses for people who want to polish their coding skills. With a community forum and interactive projects, learners of all levels will find DataCamp one of the best online learning platforms for data science.

Is DataCamp worth it?

DataCamp is worth it for online learners. Here are some reasons why:

Beginner-friendly – studying data science can be intimidating for beginners. However, DataCamp makes the process easy for you. The courses are offered in simple language and they also have a step-by-step method so that you do not feel rushed.

Reputable learning platform – DataCamp is recognized worldwide as a data science online learning platform. Top data scientists in the world have at one point used the learning platform.

Access to projects and challenges – data science is a very practical area of study. If you are looking for practical projects and challenges to help you with practice, DataCamp is definitely for you. You will get access to a variety of projects to help with learning.

Variety of courses – the online platform has more than 350 courses available. Depending on your interest, you can always find something to suit your needs.

DataCamp Review: The good and the not-so-good

The pros

Easy to use

Using DataCamp is quite easy. All you have to do is log in using your Google account or Facebook. You do not have to install or download anything on your computer. It is easy to use directly from your browser. The website is also interactive so you will find everything you need with a click. It makes learning fun and easy.

Simplified step by step learning

Learning data science can be intimidating for everyone. Fortunately, DataCamp makes the process easy for you. The courses are broken down into small and manageable pieces for easy understanding. You get access to projects that help you to practice your skills at every stage.

Engaging learning content

Unlike other online learning platforms, DataCamp tries to make learning as enjoyable as possible. They offer videos and interactive content to break the monotony. Learning is interactive to make it easy for learners to understand complex concepts.

Learn from anywhere

With DataCamp you can take classes from anywhere. Since you do not have to install the learning platform on any device, you can access it from anywhere on the go. All you have to do is to log into the platform using your preferred device. The platform even has a dedicated mobile learning platform for mobile users.

Clear and transparent pricing

Their pricing system is easy to understand for everyone. Depending on your needs, you can even get a free version if you are a beginner. They also have packages for small businesses that want to take advantage of the platform.

DataCamp Cons

Statement of accomplishment and not certificates

If you are looking for online certifications in data science, DataCamp does not offer that. However, you will get a statement of accomplishment after the course. You can use this statement on your linked profile to show that you completed the course.

Available only in English

DataCamp only offers courses in English. If you are looking to study in another language there are subtitles so you will have to follow keenly to keep up with the lessons.

Limited courses for free users

The free version is not sufficient to learn data science. It has very limited courses and you might be forced to upgrade to get more access to everything you will need to become a data scientist.

How much does DataCamp cost?

DataCamp operates on a subscription model, thus giving learners a number of options. The platform has 3 plans: starter, standard, and premium plans.

Starter plan:

Cost: FREE


  • Unlimited skill assessment
  • Access to first chapters of all tracks
  • 3 data literacy courses
  • 3 challenge tests
  • 7 projects

Standard Plan

Cost: $12.42/month


  • Access to free plan features, plus
  • 335+ courses
  • 50+ skill tracks
  • 14 career tracks
  • Unlimited challenges
  • Code-alongs
  • Mobile courses
  • Community chart

Premium Plan

Cost: $33.25/month


  • Access to standard plan features, plus
  • 90+ projects
  • Additional content
  • Priority support

Professional Plan

Cost: 25/month


Access to Premium Plan features, plus

  • Admin roles and permissions
  • Assignments
  • Assign admin roles and manage access content
  • Admin dashboard
  • Assign specific content and due dates
  • Manage assignments
  • Live chat admins

DataCamp Tracks

Tracks in DataCamp are the equivalent of micro-credentials. They are more elaborate than the platform’s regular short courses and are designed for lovers who are looking to develop competence in specific skill sets and career paths. Upon successful completion of a Track, you will be issued with a certificate to show proof that you have learned a specific branch of data science through the platform.

DataCamp offers two types of Tracks:

  • Skills Tracks
  • Career Tracks

Skill Tracks

Skill Tracks are DataCamp’s approach to teaching learners specific coding skills through hands-on interactive videos and lessons. If you have used Coursera, then you could compare DataCamp’s Skill Tracks to Coursera’s Specializations. Both approaches help learners develop deep competence on a specific topic through a series of carefully created courses. However, DataCamp has an upper hand for learners looking to specialize in data science programming lessons thanks to its use of web-based code editor. As expected, all the Skill Tracks are categorized into three programming languages: Python, R, and SQL.

How long are DataCamp’s Skill Tracks?

It typically takes 13 5o 28 hours to complete one DataCamp’s Skill Track, with each track consisting of 4 to 7 individual courses. Whether you are a beginner, a graduate or an experienced R programmer, you can start out with your chosen Skill Track.

Career Tracks

Comparable to EdX’s MicroMasters programs and Coursera’s MasterTrack programs, Career Tracks are the most comprehensive online data science training programs on DataCamp. As with Skill Tracks, Career Tracks are available in 3 three programming languages to choose from: Python, R, and SQL.

How long are DataCamp’s Career Tracks?

Each Career Track comes with up to 30 individual courses and takes between 45 to 115 hours to complete. They are perfect for learners who are hoping to start or advance their careers as data wizards.

7 Top Courses on DataCamp

Machine learning with Python learning path

For people with some coding experience, this course is useful. It introduces you to machine learning while utilizing your Python coding skills in the process. The course takes a total of 20 hours to complete.

Text mining with R

Text mining is a great starting point for those who want to master machine learning for data science. This course will help you learn how to find patterns in text and apply the data in real life. It is a relatively short course that takes 16 hours to complete.

Data visualization with R

Data visualization is all about how data is presented after it has been extracted. If you want to learn how to present data in charts and other ways then you need to take a data visualization course. It takes 24 hours to complete the course.

Data science for everyone

This is a course that is ideal for beginners who want to start a career in data science. It introduces learners to the course and offers basic skills. The course will only take 4 hours to complete since it is a general beginner course.

Big Data with R

Big data with R is a good course for learners interested in big data. It is a fairly general course but it covers data visualization and parallel programming. At the end of the course, you will learn how to handle big data. It will take 20 hours to complete the course.

Finance Fundamentals in R

If you are interested in data science but you are more concerned about the financial aspect, Finance Fundamentals in R is the right course. It will teach you about data structures with examples in finance. The course will take 28 hours to complete.

Data Analysis in Excel

Microsoft Excel is a popular tool in data analysis.  Every data analyst needs to learn how to work with Excel. This is a short course that that takes 4 hours to complete.

DataCamp Review: Final Thoughts

DataCamp is definitely worth your time and money thanks to its outstanding selection of data science learning resources, hands-on projects, and tracks. Specifically, DataCamp is best suited for beginner and intermediate learners. It is also ideal for experienced data scientists who are looking to learn new skills on the go.

Ready to get started with your first DataCamp course (or Track)?

Now is the time to take your first lessons on DataCamp. Here is where you need to decide whether you will go for an individual course or a Track, or whether you want to head straight for a Skill Track or Career Track.

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Top Rated DataCamp Courses

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