DataCamp vs. Coursera Comparison: Which is the Best?

Learning new skills is crucial nowadays because it may give us a variety of and job opportunities.

Doing it online is cheaper and more comfortable. If you particularly want to learn about data science, I suggest checking DataCamp and Coursera as a starting point.

Both of these learning platforms offer data science and language course for free.

In this article, we will discuss DataCamp and Coursera thoroughly and see which is better.

Overview: DataCamp vs. Coursera


DataCamp, also known as DataMind, was founded in 2013 by Dieter De Mesmaeker, Jonathan Cornelissen, and Martijn Theuwissen. As of 2020, DataCamp has more than 1,200 companies upskilling their teams, and more than 6.8 million students enrolled in 926 courses, projects, and practice exercises created by 270 instructors.

DataCamp is a massive open online course (MOOC) that focused more on data science. Datacamp supports different level skill level. Whether you are a beginner or you are already experienced in terms of data science, DataCamp has it all for you. It has a feature called True Interactive Learning wherein you will have access to free short tutorial videos and hands-on coding projects. 

With the True Interactive Learning feature, you will also receive XP as a reward and also get real-time feedback about your projects. If you want to check your skill level, DataCamp also has DataCamp Signal. This is a free skill assessment for anyone, except if you need to retake or take multiple tests, you will need to buy its subscription. 

Do you want to put what you learn in DataCamp courses into action? You may try DataCamp Projects. This feature will allow you to code on your own and add it to your data science portfolio. It is also available for business and 100% free for academics. Lastly, DataCamp is also available on mobile.

Though there’s a free trial, DataCamp also offers three months of free access for students through partnerships with GitHub, and Microsoft opens for everyone.

You can also access it to multiple devices like desktop, laptop, and mobile devices. Its minimum requirements for desktop or laptop should have at least updated browsers for Google Chrome, Mozilla Firefox, Microsoft Edge, Safari, and Internet Explorer 11 or higher. DataCamp also suggests using one workbook at a time. 

DataCamp can also be accessed through Android and iOS by downloading the app. For Android phone users the version should be at least JellyBean 4.4 and iOS 10.0 or higher for iOS phone users.


  • DataCamp courses cover major subjects about data science
  • Offers projects and practical exercises wherein you can practice what you learned and even add these to your portfolio.
  • DataCamp app for mobile phones available so that you can learn anytime, anywhere.
  • Contents are a beginner-friendly


  • DataCamp offers self-paced video lectures, which is for me, is not that engaging.
  • Limited course selection for free courses


Coursera is an online learning platform that also offers a massive open online course (MOOC), certifications, degrees, and specialization for universities and organizations. It was launched in 2012 by Andrew Ng and Daphne Koller, Computer Science professors at Stanford University.

As of today, Coursera has 71 million students enrolled in more than 4,400 courses, with 570 plus projects available. Coursera also offers more than 470 specializations and 20 degrees with more than 30 certificates. Some examples of subjects available in Coursera is machine learning, engineering, business, digital marketing, financing, and data science.

Coursera offers an online bachelor’s and master’s degrees for four online courses, which are business, public health, data science, and computer science degrees. Coursera works with leading universities and organizations to bring them with you and earn a degree whenever and wherever you are in the world.

Coursera offers Professional Certificates that will help you to be ready for an in-demand career. Gain job certifications, and apply what you’ve learned to hands-on projects that demonstrate your skills to employers. You will also be given career support access tools such as developing a professional resume, how to be ready for an interview and be hired.

There is also another certification offered by Coursera, which is the MasterTrack Certificate, part of the Master’s program in Coursera. This curriculum is made up of online modules so that you can receive a university-issued certificate of high quality. Take advantage of a profoundly interactive learning experience with real-world projects and input from live experts.

Coursera is also available for business, for academics, and for the government. Due to pandemic, Coursera providing complete access to courses for free to all college and university students. This promotion will ends on October 31, 2020. There is also 50% off to all of the courses if you and your friend enrolled in a referral link.

You can also use Coursera on computers and mobile devices. Coursera supported updated versions of browsers on computers, but Google Chrome is most recommended. Also, the computer must have at least 1 GB of RAM and an internet connection. For mobile access, devices supported are iOS version 9.0 and Android version 5.0 or higher.


  • Flexible and self-paced lessons
  • You can earn a degree from top universities wherever you are in the world.
  • Excellent variety of courses selection
  • Certifications


  • The free subscription doesn’t include all the features.
  • It is expensive just for online learning.

DataCamp vs. Coursera: The Face-off

By having a glimpse of these two MOOC learning platforms, we already know that both of them are great choices if you want to learn data science course. Both of these platforms also offer free lessons for learning data science and have a superb selection. But let us compare these two and see which is better between DataCamp and Coursera. Let’s judge these two by:

  • Price
  • Data Science courses offer
  • Instructors
  • Reviews

DataCamp vs. Coursera: Price

Datacamp and Coursera are known for offering data science courses. Both of these two learning platforms provide individuals and businesses to learn data science, machine learning, etc. Also, DataCamp and Coursera offer free trials. For DataCamp, it is two months with a partnership with Microsoft, and seven days for Coursera. 


Let’s start with DataCamp. DataCamp pricing plans are divided into two categories: For individuals and for teams. For an individual, there are three subscriptions. There is a free subscription, wherein you will have access to the first chapter of all of the courses and video lectures. It includes seven projects, all coding challenges, and one chance for assessment.

There are two paid subscriptions for individuals, which are the standard and premium. The standard plan can be either pay monthly for $15 or $149 yearly ($13 monthly). When you subscribed, you will get access to all free content and additional 338 courses. There are 14 career tracks and 51 skill tracks. You will also get unlimited access to skill assessment.

For a premium subscription, you can choose to be billed monthly for $49 or $399 yearly, which is $33.25 monthly. With premium, aside from all access to standard contents, you will be able to create 86 projects, Tableau, Power BI, and Oracle content, live sessions, and priority support. For business, $25 per month minimum of five users, and there’s also for Enterprise.


Whereas Coursera, there are two pricing plans: pay-per-course and subscription plan. Some of the pay-per-course starts from $49, depending on the lessons, length, and level of difficulty. There are more than 1400 courses that are still free. But you still need to pay if you want to get a certificate and access certain features like mentorship, graded assignments, and other learning tools.

Specialization courses and professional certifications are paid through subscription, starting at $49 monthly. The MasterTrack certification programs starting at $2000, and online degrees that cost around $9000. Both of these programs have an option to pay in installments. There is also financial aid available in Coursera, which is subject to approval. If you are enrolled in multiple classes and courses, you need to request separately.

Coursera also has a guided project feature, in which you will gain essential skills self-paced and in a short period, starting at $9.99. Coursera also offers a program in which you will have unlimited access to over 90% of courses available, Guided projects, Specializations, and Professional certifications. Introducing Coursera Plus that costs $399 per year, with a 14-day money-back guarantee.

The Winner

So in a comparison between these two, I prefer DataCamp. vs. Coursera. The reason is DataCamp provides a specific tab on its website to see clearly the pricing. DataCamp is more transparent and cheaper compared to Coursera. Whereas Coursera really gave me a hard time locating the pricing of the online courses and programs. Also, too pricey for me.

DataCamp vs. Coursera: Data Science Courses Offer

You and I know that data science is one of the in-demand skills in the business world. If you have a degree or data science specialization in your resume, you will also be in-demand for employers. So if you want to learn data science, DataCamp and Coursera have it all for you. These two features of offline learning and mobile apps. But let’s see which of these two are better for entry-level learners to data scientist learners.

Let us also check which of these two offers high-quality content in the field of data science. So let’s start with Data Camp.


For hands-on coding training, DataCamp offers learning courses that use a web-based code editor. The majority of the topics in DataCamp consist of the programming language of Python, R programming, and SQL. Aside from online courses, DataCamp also features learning through skill and career tracks. I know you might be asking the difference.

There are 340 learning courses available in the catalog of DataCamp. It includes topics about but is not limited to data engineering, basic programming, information technology, data analytics, etc. These courses can be taken individually, and that includes video lectures and exercises.

There are also career tracks in which it will allow you to take together a set of courses that are intended towards a specific career. It covers everything you need to know from the fundamentals up to the most advanced course. Once finished, you will earn certification. There are currently 14 available in DataCamp: Become a Python and R programmer, a data scientist, software engineer, a quantitative and data analyst, and machine learning scientist

Let’s proceed with the skill tracks, which are shorter in comparison with career tracks. Currently, there are 51 skill tracks available. It’s almost the same approach as the other tracks. The difference is that the courses are organized to focused on mastering particular skills like data visualization, statistics, and text mining.

DataCamp claims that with its Courses, Career, and Skill tracks, learners will be able to learn at their own pace. Also, beginners, intermediates, and even experts will be able to advance their programming skills and get hands-on work experience.


Now let’s talk about Coursera courses. Undeniably, Coursera has more courses than DataCamp. It even offers courses for writing your books and about software. But let’s just focus on data science in its catalog. Data science courses of Coursera 2020 are composed of Analytics, Big data, Statistics, Python and R programming, SQL, Business analytics, Data visualization, and more. Coursera offers professional and MasterTrack certificates and guided projects for data science. There is also a specialization course and online degree available. These features are created and provided by top universities like the University of Pennsylvania and companies like IBM.

For Coursera courses, it consists of video lectures like DataCamp, and most of the lessons are free courses. However, you need to pay to access assignments and other data science toolbox. But I assured you of the high-quality of the course contents as it’s created by top universities and companies who are experts in terms of data science. This is the crucial benefit of the Coursera compared to another learning course from Udemy. Udemy courses are just being created by anyone, so the quality is sometimes questionable.

Some of the top courses in the data science section of Coursera are:

The Winner

On this, my personal preference is looking for learning platforms that will help me get the skill needed to be somehow knowledgeable enough when it comes to the programming language. I will still choose DataCamp vs. Coursera. The reason is, as a beginner with zero knowledge, it is vital for me how organized the course catalog is. DataCamp has a neat, more organized list than Coursera.

Second, I can already learn, apply, test my skill, and get certified on its free courses. Compared to Coursera that everything is not accessible unless I paid for the courses. Lastly, the modules are easy to follow. Then again, it is based on our preferences. If you preferred to get a degree in software engineer, feel free to check the Coursera.

DataCamp vs. Coursera: Instructors

After checking the price of a course, this is the next thing in my mind to check every time I enrolled in a course, whether face to face or an online course. As a beginner, it is essential to check what type of person is going to teach you. We need to know what is their expertise, experience, and what do their students telling about them. Both DataCamp and Coursera have expert and reputable instructors, compared to Udemy, wherein anyone can be an instructor, even you and I.


DataCamp currently has 270 instructors. It shows the profile of its instructors in its courses. You will be able to see a brief background, and there are also links to the other courses offered by that instructor. However, I see that some of the instructors don’t include their academic records like at least showing if they are Bachelor’s graduates, experiences or expertise. Some of the profile just shows they are data scientists, without any proof like experience.


On the other hand, Coursera 2020 currently has 221 partnerships with universities and companies across 54 countries globally. Like DataCamp, there is also a brief description of a course and includes degrees and experiences. These instructors are mostly from universities and colleges with partnerships with Coursera.

The Winner

I would say the winner for this round is Coursera. Upon checking profiles of the instructors for both of these platforms, I am more assured that I would get a high-quality course from Coursera compared to DataCamp. The description in Coursera is more transparent as it shows credibility and expertise.

DataCamp vs. Coursera: Reviews

This is also vital for me because I will be able to see the real-life experience of the learners inside the platforms. I am not contented in just checking online reviews, most especially on the website of the platform, because obviously, you can only see positive reviews only. Some of the reviews I read include referral links and sponsored, so they will most likely review good things only by informing the drawbacks. So let’s start with what learners say about DataCamp.


According to the Better Business Bureau (BBB), DataCamp is not accredited to them and got a B- rating. This is because there are 15 complaints against them, mostly about the yearly subscriptions and the auto-renewal. DataCamp got 8.4 stars out of 10 from 182 user reviews in BitDegree. It got 4.7-star ratings out of 5 from E-Student, an online platform for students who want to study online.

Most of the learners complain about the limited course selection for free. Also, the lessons are too tedious for them because it is more talk than show. On the bright side, learners saying modules are beginner-friendly and easy to follow.


Coursera is also not accredited to BBB, and it has a D- rating from them. This is because Coursera has almost a hundred complaints, mostly about the products, services, and billing concerns. In BitDegree, it got a higher score than the DataCamp. It got 9.8 stars out of 10 from 295 user reviews. Then in E-Student, it got 4.7 stars out of 5 like DataCamp. Most of the complaints of the learners are about the price that is too expensive. Some of the lessons are too difficult for beginners, false advertisement, poor customer service, and more.

The Winner

For this round, it is DataCamp for me. I read more positive comments about DataCamp compared to Coursera in some discussion forums. Coursera got more complaints, whether doing business or their products, there are complaints. Then again, generally speaking, DataCamp is not the only best online platform out there. You may free to check other option that offers the data science field like Udemy, eDX, Codecademy, and Udacity.

Special Features:


  • Skill tracks

DataCamp organized courses for you to master specialization like statistics, machine learning, and text mining.

  • Career tracks

This is what you need if you want to have a career in the data science field or resolving some data science problems like data analyst, python programmer, and etc. It offers courses that will make you achieve your career in data science.


  • Professional and MasterTrack certifications

It will help you and some professionals to be certified by top universities and companies in the field of data science

  • Online degree 

Coursera offers this with a partnership with universities and colleges so that even if you are employed, you are on the other side of the world, you can still earn a degree.

Conclusion: Which is better DataCamp or Coursera

This article is my insight into DataCamp vs. Coursera. These two platforms offer data science modules, and both of these have their own features. These offer a free trial for lessons, programs tailored to what we need. For me, DataCamp and Coursera are great learning platforms. But for me, DataCamp is better vs. Coursera. It is cheaper, beginner-friendly, and easy to follow modules. As I said, it is all about your preference.

Aside from DataCamp and Coursera, you may also check other learning courses platforms such as Udemy, eDX, Udacity, and Codecademy. All of these platforms offer a variety of courses. But let us go back to the story of DataCamp and Coursera. Let me tell you which one is better for you based on the features.

Choose DataCamp if:

  • You are a beginner. DataCamp will be great for you because it has easy to follow modules, easy to use website and app interface, and a neatly organized list of course
  • You are on a budget like me. DataCamp offers as low as $15 monthly for an individual course.
  • You want to test your ability and get certification for free
  • You want to know all about the python, from the introduction to python up to the advanced lesson. DataCamp is highly recommended in mastering the python.

Choose Coursera if:

  • You want to earn a degree from the top universities and colleges, even if you are on the other side of the globe.
  • You want to be certified and credited to some business companies
  • You want to choose a big library of courses as Coursera offers many courses and premium courses.

Frequently Asked Question:

Are DataCamp certificates worth it?

For me, it is. Even if the certificates of DataCamp are not accredited to some like Coursera, you get it for free. You will feel satisfied because you got something after you study hard. But I think it really varies to person. Some might think that it is not worth it because of what you will do with those certificates if you did not learn anything.

How effective is DataCamp?

Since this platform is easy to follow, I think this is highly effective, mostly if you have zero knowledge. Also, the projects, even in free subscription, are excellent. The teachers will really show you the way how to do the actual research on the real database.

Which is better: DataCamp or Codecademy?

Based on one day of checking between these two, I must say the Codecademy. I don’t mind the price of the DataCamp but Codecademy is a lot cheaper. It also covers more than programming languages, including R, JavaScript, Swift, and C++. There is also a free subscription on Codecademy and financial aid like Coursera.