DataCamp Alternative: 365 Data Science vs DataCamp Comparison
1. The Course Content: 365 Data Science vs DataCamp
365 Data Science is particularly suitable for beginner and intermediate students. The course curriculum ensures you will build a solid foundation that would allow you to understand the more complicated topics included in every career track. Each career track – Data Scientist, Data Analyst, and Business Analyst – starts with Intro to Data and Data Science – a course that provides you with an overall description of the fields of business intelligence and data science. What makes 365 Data Science particularly suitable for novice users is that each course is a natural continuation of what has been seen previously and takes into consideration the skill level already reached. You are not going to have to go through the same explanations over and over again, just because the course authors were not sure whether a given concept has been taught in previous courses.


DataCamp offers a great variety in terms of content. 360 courses from more than 270 instructors. And yet, if one takes a look at Datacamp’s ‘Data Scientist with R’ track, for instance, they would easily see that it doesn’t include linear algebra, probability, any type of basic statistics training. All of these courses are part of the larger portfolio available to all subscribers but have not been included in the ‘Data Scientist with R’ track. A massive number of courses is a great learning opportunity, but also very difficult to navigate, especially in the beginning when a student doesn’t necessarily understand the logical order and how to organize their learning. That said, one of the biggest advantages of DataCamp lies in the fact that if you are an experienced data scientist, working on a very specific problem, chances are that DataCamp would be able to help you with your project.
Another important difference between the two programs is that 365 Data Science focuses extensively on the use of Tableau, Python, R, and Excel as visualization tools, whereas DataCamp relies on data visualization in R and Python.
Learn Data Science Science at 57% Off
2. Additional Features: 365 Data Science vs DataCamp
Q&A support
DataCamp does not offer Q&A support services and instructors cannot be contacted by students (at least not through the platform). The community discussions available on the platform are a replacement feature, where you are more likely to get peer help, rather than support from instructors.
Exercise materials
Alternatively, 365 Data Science focuses on course materials – all exercises are in the form of coding notebook files, while the solutions – solution notebook files. Moreover, it provides many additional resources, such as quizzes, course notes, and other downloadable files. Since you download these materials, you get to keep all of them even after canceling your subscription.
Real Environment Practice
Practical Case Studies
At the moment, DataCamp offers a greater number of advanced practical case studies in their course curriculum, relating to the point that if you are a data scientist facing a particular problem, there is a good chance you’ll make a breakthrough with your project through DataCamp’s resources.
Exams
Practice Exams are optional. Their goal is to help you gain confidence in your skills, show you if there are areas you still need to work on and prepare you for your course exams and final career track exam. Course Exams give you the chance to prove that you have gained the necessary skills and competencies in a certain data science area. A passing score of 60% is required to be eligible for a Course Certificate.
Career Track Exams are accessible to students who have successfully passed the 9 required course exams in their chosen career track – Data Scientist, Data Analyst, or Business Analyst. These include 7 mandatory exams and 2 electives. A passing score of 60% is required to be awarded a Career Track Certificate.
Presently, DataCamp doesn’t offer exams as a feature of their training.
Certificates of Achievement vs Certificates of Completion
To earn a Course Certificate, it is not necessary to watch all the videos in a course. However, you still need to be enrolled in the program and pass the course exam successfully, that is, achieve a score of 60% or higher.
Career Track Certificates are awarded to students who have passed 10 exams successfully – 9 course exams plus a final exam with questions covering all required courses in the respective Career Track.
Once earned, you can easily share them with your professional LinkedIn network or get a physical copy as a stylish testament to your achievement.
The data science industry places high value on degrees, credentials, and professional certificates, especially when there is an exam required to obtain them. There is a good reason for that – certificates not only confirm subject matter expertise but are also required for certain job openings. Not to mention that employers consider certificates a measure of a candidate’s willingness to work hard and achieve the goals they have set for themselves.
As long as you complete a course on DataCamp, you will be able to download a certificate of completion.
Neither 365 Data Science nor DataCamp charge an additional fee for the online certificates.
3. Pricing: 365 Data Science vs DataCamp
The two business models are similar – paid subscriptions that give you access to all the content.
Currently, DataCamp charges $49/month, billed monthly, and $33.25/month, billed annually.
365 Data Science charges $36/month, billed monthly, or $29/month billed annually.
- Online On-demand Video
- Comprehensive Portfolio
- Free plan
- Step-by-step Curriculum
- Real environment practice
- Personalized learning dashboard
- Career tracks
- Exams
$29 per month
Billed annually- Online On-demand Video
- Comprehensive Portfolio
- Free plan
- Step-by-step Curriculum
- Real environment practice
- Personalized learning dashboard
- Career tracks
- Exams
$33.25 per month
Billed annually- Online On-demand Video
- Comprehensive Portfolio
- Free plan
- Step-by-step Curriculum
- Real environment practice
- Personalized learning dashboard
- Career tracks
- Exams
365 Data Science vs DataCamp: Which One to Choose?
DataCamp is a great resource for anyone who already has at least some experience with either programming and data analysis or data science in general. They have many solutions which are grounded in specific real-life cases, and if you know what you are looking for, you will most likely find it.
365 Data Science instead focuses on the beginner data scientist and offers a fully integrated all-in-one learning solution. The training is designed to ensure the student has mastered the fundamentals before building up with more advanced concepts. 365 Data Science will teach you the necessary linear algebra and statistics skills to later model your data and the three key programming languages (Python, SQL, and R) to help you start developing machine learning algorithms. The platform is also focusing heavily on student-teacher feedback, where the beginner learner is fully supported.
In essence, if you are a beginner, the 365 Data Science curriculum structure provides a superior learning experience and a more supportive environment.