DataCamp vs Coursera 2023: What is better DataCamp or Coursera?

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DataCamp has some free beginner-level courses available on their website and that is a really great place to start.

Coursera offers a large number of courses based on every topic and every branch right from mathematics, biology to business. Coursera works with different universities and organizations and helps learners to gain knowledge through the courses available.

  • Unlimited Access to over 300 courses
  • Introduction to R
  • Text mining with Bag-of-words in R
  • Python for everybody
  • Excel skill for Business
  • Social Psychology
  • Offers more frequent discounts and promotions than Coursera
  • Offers teacher discount policies
  • Offers Affirm Financing support
  • Courses offered are from some of the world’s topuniversities
  • High video quality content
  • Well structured learning platform
  • The advanced level course requires a financial investment
  • Fixed dates to enroll for the course
Value For Money

Courses offered by DataCamp are designed by expert professionals and along with that they offer real life projects. These are the things which makes it worth investing.

Coursera is a little expensive when it comes to pricing but the courses offered by this platform are of top universities which makes it worthy of investing that much money.

Looking for an Unbiased Comparison between DataCamp vs Coursera, Don’t worry, I got you covered.

If you’re anything like me, you’ve thought about improving your abilities by enrolling in new courses. For many people, this means taking advantage of fresh discounts provided by online learning resources like DataCamp and Coursera.

More than ever, learning platforms are providing free, discounted, or even completely free trials of software, training, and data courses. Skills in machine learning, healthcare analytics, cloud computing, and IT are all in demand since there are so many people who are stranded at home and uncertain about their futures in the workplace.

Despite the advertising, I pondered whether organizations like DataCamp and Coursera can truly assist someone in learning effectively at home since these skills are not always the simplest to pick up.

In this review, I’ll compare the most popular courses on DataCamp and Coursera and let you know which one I think is best for you.

So let’s not waste any more time and dig deep into comparing DataCamp Vs Coursera in detail.

Bottom Line upfront: In contrast to Coursera, which offers courses, online degrees, and certificates in a wide range of topics, DataCamp offers courses and tracks in STEM fields. Individuals have three membership choices with DataCamp, whereas Coursera offers free access but charges individually for tracks and degrees, Depending on your subscription package, DataCamp gives projects for every course, whereas Coursera charges for peer input, projects, and course evaluations. Whereas Coursera offers both self-paced and scheduled learning, DataCamp only offers self-paced video courses.

DataCamp vs Coursera Comparison: Overview

About DataCamp


DataCamp has some free beginner-level courses available on its website. DataCamp also offers annual and monthly subscription plans to access all the premium courses available on its website. Learners can pay $25 per month or $250 per year to get access to all the premium courses. 

The first chapter of these courses is free to access in order to give you the essence of the course before paying. Courses available on DataCamp are beginner-level.

DataCamp vs Coursera Comparison - DataCamp - Type Conversion

After completion of the course, you will be issued big data certificates and these certificates can be used by the students to upload them on any professional network sites like LinkedIn.

About Coursera

Coursera offers a large number of courses based on every topic and every branch right from mathematics, and biology to business. Coursera works with different universities and organizations and helps learners to gain knowledge through the courses available. 

Coursera offers you courses right from beginners level to advanced level. Courses offered by Coursera can be accessed for 10-12 weeks depending on the course you take.

Each Course is divided into several weeks with 1-2 hours of video lectures along with the e-material to read about the topic. After the completion of every week, an assignment is given for the students to solve.

These assignments are further evaluated and given grades to the students based on their performance. Some of the courses available are accessed at our own pace but for some courses, you have to match the instructor’s pace.


Coursera allows you to learn anytime and anywhere according to your convenience and therefore learners find it super flexible to take the course on Coursera. The discussion forums available on Coursera allow you to interact and these forums are actively seen by the professors.

After completion of the course, you will be issued certificates and these certificates can be used by the students to upload them on any professional network sites like LinkedIn.

DataCamp vs Coursera: Plans

DataCamp: DataCamp has both monthly as well as annual subscription plans with various services available according to the type of plan. DataCamp has 3 subscription plans: Basic, Premium, and Free.

Along with these 3 plans for individuals, DataCamp also has 2 plans for teams: Professional and enterprise. I will tell you about all the features offered by each plan in detail as you read further in this blog.

Coursera: Coursera offered Coursera is mostly free. You can watch videos of the course you have taken and complete the course in a given period of time. But if you want to issue the certificate of the course you have taken you have to pay between $0 to $99. Some specialized courses are available on Coursera and they can be only taken by paying a certain amount.

Usually, subscriptions are priced from $39 to $89 per month to access one specialization course. Subscribing to a specialization course gives you full access to all contents in that course till your subscription is active.

 My say: I feel that although Coursera offers free courses, DataCamp is more transparent and cheaper as compared to Coursera and hence has the cost at its advantage. You can access more courses once you subscribe and the same courses might be a bit costly on Coursera. 

DataCamp vs Coursera: Curriculum

DataCamp: DataCamp seems to be more engaging for beginner-level students. It offers 325 courses based on Data Science and R programming. Learn data science easily with DataCamp. Each course is for 4 hours. To help you with the selection of the course, DataCamp has also introduced a skill track and career track. 

Datacamp - Stats

Coursera: Talking about Coursera, has more than 5400 active courses based on different topics. Coursera offers you courses from beginner level to advanced level.

Recently Coursera started offering you a bachelor’s degree as well as a master’s degree which is well recognized by universities and companies and can help students for their jobs or higher studies.

 Coursera - Accessible

My say: If you are a beginner and want to learn some basics then Datacamp is perfect for you but if you are precisely looking for degrees and certificates then you should choose Coursera.

DataCamp vs Coursera: Courses Available

DataCamp: DataCamp offers 325 courses along with 43 skill tracks and 13 career courses. 

Data Camp Course

Along with the normal purses offered the skill tracks are specifically designed to enhance your skills and the career tracks are designed to boost your career. To have a better understanding regarding the same let us have a look at the various courses available in some more detail.

Here are a few examples of courses that are available on DataCamp 

  • Introduction to R
  • Intermediate R
  • Introduction to Machine Learning
  • Data visualization with ggplot2
  • Text mining with Bag-of-words in R
  • Introduction to python
  • Introduction to SQL
  • Python Data Science Toolbox
  • Introduction to Network Analysis in Python

Here are a few examples of skill tracks:

  • Image processing
  • Importing and cleaning data
  • Shiny Fundamentals
  • Applied Finance

Here are a few examples of career track 

  • Data analyst with R
  • Data analyst with python
  • Python programmer
  • Statistician
  • Machine learning scientist

Coursera: Coursera offers a variety of courses from various fields like Arts and Humanities,

 Business, Data Science, Information Technology, Health, Math and Logic, 

Physical Science and Engineering, Social Sciences, and Language Learning. 

 Coursera - Course

 Here are a few courses available on Coursera :

  • Python for everybody
  • Programming for Everybody (Getting Started with Python)
  • Applied Data Science in Python
  • Market Research
  • Excel skill for Business
  • fundamental of Project Planning and Management
  • Introduction to Psychology
  • Social Psychology

Along with these courses, Coursera offers you a bachelor’s degree as well as a Master’s degree program which you can take and get your degree online which is well-recognized by Industries, Companies, and Universities.

Some of the Degree programs available on Coursera 

  • MSc in innovation and Entrepreneurship by HEC Paris
  • Bachelor of Applied Arts and Sciences from the University of North Texas
  • Master of Computer Science by Arizona State University
  • Master of Science  in Electrical Engineering from the University of Colorado
  • Master of Applied Data Science by the University of Michigan
  • MSc in Machine Learning by Imperial College of London

My say: Coursera has an edge over DataCamp as along with normal courses you get to have a degree in the subject or topic of your choice and having a degree benefits your career growth.

 DataCamp vs Coursera: Instructors

DataCamp: The instructors available on DataCamp are from various organizations and Universities. DataCamp has a profile of all its tutors under the bio of each one. You can easily find out more about the person who is going to teach you from there.

DataCamp - Instructor

Coursera: The instructors available on Coursera are from renowned top Universities and many of them are still employed at those universities. Along with the bio of the instructors, you will also get to know about the degrees, certifications, and all information about their certifications.

 Coursera - Instructor

My say: While comparing the tutors in these two platforms I found out that some tutors in DataCamp had “ Data Scientist at Datacamp ” written in their bio which I think is very vaguely written and I found it a bit hard to trust them. Coursera has all university teachers as instructors who have uploaded all their degrees and certificates in their bios and hence it becomes difficult to doubt their credentials.

Datacamp vs Coursera: Pricing

Cost plays a vital role in deciding any learning platform. So let us look at the subscription plans of DataCamp.

Data Camp basically offers 5 different plans to its users. 3 plans are for individuals and 2 are for teams. First, let us have a look at the plans offered to individuals.

Datacamp pricing plan


  1. The free plan will help you get a clear idea of whether to apply for the course or not. It also offers 7 projects and access to all coding challenges and 1 skill assessment.
  2. The basic plan will cost you $29/per month. This includes All FREE content, plus:
  • 341 courses
  • 14 career tracks
  • 43 skill tracks
  • Unlimited skill assessments
  • Community chat

In order to study the subject in-depth one must opt for a yearly subscription which will cost you $300 and can save up to $48.

  1. The premium plan will cost you around $33.25/ month if taken as an annual subscription. This will include all BASIC content, plus:
  • 82 projects
  • Tableau and Oracle content
  • DataCamp live sessions
  • Priority support

For teams, the two plans available are premium and enterprise.

  1. The professional plan will cost you 25$ per user per month for 5 users which would be billed yearly. This plan includes all premium content plus:
  • Assignments
  • Admin dashboard
  • User roles and permissions
  • Live chat for admins
  1. The enterprise plan offers all professional plan content and features along with:
  • Pay per user or pay per hour of learning
  • Tableau and Oracle content
  • Custom learning tracks
  • Advanced Reporting
  • Data export
  • Single sign-on
  • LMS integrations
  • Data integrations
  • Priority support
  • Dedicated Customer Success Manager (available for 20+ users)
  • Early Access Program

The cost of the enterprise plan is not yet disclosed on the official website but if you wish to opt for this plan then you would directly have to contact the DataCamp team for the pricing details.


Coursera pricing plans


Datacamp VS Coursera: Best Platform to learn Data Science?

So, now coming to our main question- which is the best platform for learning Data Science courses? I would simply like to answer this by saying, to know this answer you should be clear about what you seek from these courses.

For beginners with just basic or no knowledge of data science, Datacamp would be a great platform to start from and for intermediate-level learners, learning from Coursera would do wonders.

I myself started with a Data Science course from DataCamp and ended up getting a more professional certificate from Coursera. To form a better opinion let us have a look at the pros and cons of each of these platforms.

DataCamp vs Coursera: Pros and Cons

Let us have a look at the pros and cons of DataCamp and Coursera.

DataCamp PROS

  • It offers more frequent discounts and promotions than Coursera.
  • Teacher discount policies.
  • Offers a course in enrollment policies.
  • Offers Affirm Financing support.
  •  Great international shipping policies.
  •  Specialized instruction provides a more detail-oriented approach to learning.

DataCamp CONS

  • Lack of repetition makes it less ideal for students who rely on rote learning.
  • The advanced level course requires a financial investment.

Coursera PROS

  • Courses offered by Coursera are from some of the world’s top universities.
  • Certification, as well as a capstone project, are included in specializations.
  • High video quality content.
  • Well-structured learning platform.
  • Financial aid is available.

Coursera CONS

  • Fixed dates to enroll for the course.
  • Certification validity is not known.

DataCamp Vs Coursera: Support

When it comes to choosing the best online learning platform, support plays a very important role in the discussion. Learning should never stop due to some problems that we encounter and troubleshooting should always be easy. Let us have a look at the support offered by each of these platforms. 

DataCamp Support 

Datacamp Support

The support page of DataCamp looks like this. 

When you click on “Your DataCamp Account”,  this window will open

DataCamp Account

Here you can find in detail help and also articles related to your problems.

Coursera Support

Coursera Support

When you click on the “help”  tab on its website the Coursera help page appears looking like this:

After clicking on the account setup the help options appear as follows:

Coursera Account Setup

These help articles easily help you in troubleshooting your problems.

My say: DataCamp and Coursera both have their dedicated support teams continuously working for better support for their users and contacting their support teams is also an easy task. When the support provided by both of them is great, whichever platform you choose, learning will always be fun. 

DataScience Vs Coursera: Recommendations

Some honest and reliable recommendations for you: 

MICHAEL GRACIE: I would recommend Coursera [Specializations], particularly in the fields of math, computer science, and other STEM-oriented subjects, to those with self-discipline and a desire to learn new skills simply for the sake of it.

HENG LIM NG: Anyone that has the desire to improve and to learn. For those especially interested in machine learning the Andrew Ng course is a must.

 PATRICK GRAY: Coursera is good for people that want to take fun courses from credentialed professors at known institutions.

DataCamp Vs Coursera: Who should use it?

As I discussed in the pros and cons of both DataCamp as well as Coursera it is very difficult to say which one is the best.

DataCamp is clearly designed for learners who are new in the field of Data Science and will help you to learn the basics of Data Science. That is why for beginners DataCamp is so far the best platform.

On the other hand, Coursera is designed for intermediate and advanced learners. Coursera helps advanced learners to get in-depth knowledge about the course. It helps you to grasp the subject completely which can help to get a job in this field.

Coursera comes with a variety of courses and therefore both platforms are unique in their own way. The learners who want to achieve a degree in the field they desire should opt for Coursera as the degrees provided here are from top universities all over the world.

Customer Reviews & Testimonials

DataCamp Reviews

Datacamp - Testimonials

Coursera Reviews

Coursera - Testimonials

My Personal Review

I personally liked Datacamp more due to its subscription facility and self-paced learning. due to its subscription plan I also feel that Datacamp is more transparent and learning through it would be cheaper than Coursera. 

The above comparison must have given you some proper insight into DataCamp and Coursera. 

I hope I did my best to explain to you and help you to choose between the two platforms according to your need and level and also what you wish to learn. Keep learning!

DataCamp vs Coursera: Frequently Asked Questions

👉What is better DataCamp or Coursera?

DataCamp is the better tool to use if you want to learn R programming in a straightforward manner. Nonetheless, if you wish to continue with your degree program, the best choice for you would be to enrol in Coursera.

👉What is the difference between Coursera and DataCamp?

Coursera has a significantly more adaptable pricing structure than DataCamp. Each course on Coursera is available à la carte, so you may maximize your savings by picking and choosing the premium courses you desire. They also provide a tonne of high-quality stuff for free.

👉 Are DataCamp certificates worth it?

The certificates offered by DataCamp are not worth the cost. They won't accomplish anything for you. Having said that, the abilities, information, and hands-on experience that you gain from DataCamp are absolutely invaluable.

👉Why is Coursera so expensive?

Coursera is, for the most part, an entirely cost-free and not at all expensive educational platform. On the other hand, if you want to take classes in your area of specialization, you will have to pay for them. It is not unduly expensive to subscribe to a single specialization; however, due to the fact that each is charged independently, the cost of subscribing to multiple specializations all at once could become very significant.

👉 Is DataCamp good for data science?

I can see why this is a frequent question because data science is one of the top businesses that are rapidly expanding, with some sources predicting continuing exponential growth in the near future. Python and data science are two of DataCamp's most well-liked and may be approved courses, so if you like the site, consider taking these. If you're just starting out in data science, I think it's a good place to start, but if you've been working in data science for a while, I don't think the platform is the best option.

👉 Is Coursera expensive?

Coursera offers a variety of free courses to choose from but some courses and degrees offered by specific top universities may be expensive. However financial aid and loans are available for students who can't afford to pay the fees.

👉 Does Datacamp have free Courses?

Datacamp has a free subscription plan through which you can see the first chapters for free but it doesn’t offer any free courses.

👉 Does my certificate from Coursera expire?

Some certificates of Coursera may expire depending on the type of course and its payment and completion. Hence the expiry of your certificates completely depends on the course you take. Sometimes you may even be asked to make additional payment in order to receive your certificate.

Quick Links:

Conclusion: DataCamp Vs Coursera 2023

There are far too many issues with Coursera for me to actually contemplate using it. DataCamp is a better and more cost-effective option, however, if I want to learn something like coding, I think I could find something else that would meet my needs better.

If you are considering becoming a member of DataCamp, you may peruse the various subscription plans that they provide on this page. I would suggest going with the most fundamental choice. The free option does not provide nearly enough functionality, while the premium tier necessitates a lengthy subscription commitment.

DataCamp is platform which majorly focuses on career courses such as data science. The way of teaching and the course content of this platform is much better than Coursera.

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Andy Thompson

Andy Thompson has been a freelance writer for a long while. She is a senior SEO and content marketing analyst at Digiexe, a digital marketing agency specializing in content and data-driven SEO. She has more than seven years of experience in digital marketing & affiliate marketing too. She likes sharing her knowledge in a wide range of domains ranging from e-commerce, startups, social media marketing, making money online, affiliate marketing to human capital management, and much more. She has been writing for several authoritative SEO, Make Money Online & digital marketing blogs like ImageStation.

2 thoughts on “DataCamp vs Coursera 2023: What is better DataC...”

  1. Thanks for the review. I arrived here because I have basically finished up everything I want to do with Coursera during my first paid year and I’m wondering if DataCamp might be deserving of another paid year.

    tl;dr: For R studies on Coursera, be aware of what you’re getting into. Their peer review process can lead to frustrations from dead/abandoned courses.

    My two cents: I don’t know about DataCamp, but I have an issue with Coursera’s R offerings, specifically their peer review system. I’ve enrolled in five JHU specializations. The Data Science Specialization was awesome and kickstarted my R journey. Three of the others (executive, tidyverse, and visualizations) were also really good. However, the final specialization I signed up to do (mastering software development in R) is a huge disappointment and I’ve abandoned it. The problem is that it’s a dead specialization. I got the first course done, but I’ve been waiting a long time for the next two, which I’ve completed except for peer reviews. Since that’s an integral part of how the courses work and no one is taking them anymore, it’s a dead end. Caveat emptor! If I had paid just for that specialization, I would not be happy about it. This is not to say anything about the UMich or other data science courses/specializations, since I haven’t had any involvement with them.

  2. Very helpful article, just what I needed! I think I am going to try out DataCamp, as the possibility to study self-paced is very important to me.

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