Datacamp Pricing & Plans
Personal Plans
Free
$0 /month- Courses: (350+)
- Career tracks: (14)
- Skill tracks: (50+)
- Practice challenges: (unlimited)
- Live code-alongs
- All mobile app courses and practice
- Community chat
Premium
$33 .25 /month- Admin roles and permissions
- Assignments
- Admin dashboard
- Live chat for admins
- * Excludes Tableau, Power BI, and Oracle content.
Standard
$12 .42 /month- Projects: (80+)
- Tableau, Power BI, and Oracle content
- Priority support
Business Plans
Professional
$25 .00/User /month- Dedicated Customer Success Manager or Learning Solutions Architect (available for 20+ users)
- Single sign-on (SSO)
- LMS integrations
- Advanced reporting
- Data export
- Custom learning tracks
- Tableau, Power BI, and Oracle content
- Priority support
Enterprise
$99.95 /month- Advanced integrations and reporting for large organizations
- Pay per user or unlimited usage
How Does Datacamp Work?
- Datacamp uses both R and Python as teaching tools. The design of the learning platform is similar to Codecademy, Treehouse, Dataquest, etc., where users are presented with a series of lessons that they can complete at their own pace.
- Datacamp’s courses are self-paced – after completing each exercise, users are directed to the next task or can move back to previous ones if they feel they need more practice. New users have access to an interactive course about programming basics to get familiarized with Datacamp’s interface.
- Users also have access to several videos that explain how Datacamp works, sources of data for coding exercises, documentation for all functions used in coding tutorials, etc.
- Once logged into Datacamp, users have access to a dashboard that displays their progress and other useful information, such as how many lessons they’ve completed and their accuracy.
DataCamp User Interface
Datacamp uses the following tools to teach coding: R and Python are available for desktop, laptop or tablet, although it works best on desktop. On the left of the screen, users see what has been covered in each lesson, while on the right, they can view their code editor – where they’d write and execute their code. For those using a touch interface on a tablet or phone, Datacamp provides access to an online IDE so that users can follow lessons and complete exercises on any device.
Content Quality
Ease Of Use
- Datacamp’s interface is effective and straightforward, although it requires a few minutes of getting used to as it is different from most online learning platforms. However, the interactive tutorials do a great job of explaining how Datacamp works and what users should expect when using it.
- Datacamp also offers plenty of support options: their “Help” section contains articles describing how to get started and use Datacamp’s product, access video tutorials about Datacamp, provide feedback for current courses and check out recent activity – including which data was last scraped from them.
- Users can keep track of all changes made to their dashboard by checking out their version history.
User Learning Experience
Datacamp allows users to complete exercises at their own pace and does not require any specific time commitments. The courses are fun and engaging, while videos concisely explain key concepts to get started immediately. On the downside, because Datacamp’s interactive interface takes place inside a code editor, using it can be confusing and frustrating for those who have no prior experience with coding.
If you’re new to coding, we recommend pairing your learning process on Datacamp with reading through tutorials about R or Python – this will allow you to build up your confidence gradually before trying out Datacamp’s exercises. In addition, there are also many exercises available – currently more than 300 Python lessons and 250 R lessons covering several domains of data science. However, Datacamp’s classes are divided into sections to go back to previous ones if they feel they need more practice. New users have access to an interactive course about programming basics to get familiarized with Datacamp’s interface.
What Type of Courses Does DataCamp Offer?
♣ DataCamp offers courses in data science and business analytics. Depending on the course, DataCamp offers interactive video tutorials and coding problems that users can solve using R or Python.
♣ These courses are available for beginners and cover various topics, such as: Creating histograms and learning about regression analysis.
♣ For those who already have some experience with coding, we recommend checking out “Data Science with Python,” a very comprehensive product consisting of over 100 lessons. It will give you an introduction to data science with python, teach you how to work with statistical models in python (such as linear regression) and even allow you to explore machine learning methods – including decision trees, random forests & support vector machines. This particular course also features a data insight engineer and the python library to help you work with Python code.
Datacamp Certificates
Datacamp offers certificates that can be saved and shared with other users. Users can show off their Datacamp achievements on LinkedIn, Twitter, Facebook or email them directly to friends. Datacamp also gives you the option of sending your certificate to yourself once you complete all courses- this is helpful if you want to print or save your certificate to show it off later.
Pros And Cons Of Datacamp
- Datacamp offers “learning by doing,” so it’s best suited for those who prefer immediate feedback.
- The courses are very well designed, and the instructors explain concepts clearly.
- It can be challenging to learn coding without prior programming knowledge.
- There is no clear distinction between videos containing important information and those less relevant.
- Datacamp lacks a mobile app.
- Khan Academy
- Kaggle
- Codecademy
- Udacity
- Edx
