DataCamp Alternative: 365 Data Science vs DataCamp Comparison
Course content, auxiliary services, pricing: why 365 Data Science brings more value to beginner data science students
DataCamp is one of the most popular platforms for e-learning. When it comes to data science training, they are certainly the Goliath in the field. And yet, as the story goes, sometimes David stands a chance. 365 Data Science is a much smaller company. We are a team of 15 people. All of our trainings have been created in-house and the value proposition of our program is a bit different than the one offered by 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 later on in the program. The training starts off by teaching Statistics, Mathematics, Probability, and providing 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 included in the program 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.
If you haven’t yet completed a data science training and you are not sure how and where to start, the 365 Data Science program is one solution you ought to consider. The training’s curriculum and logical structure are geared towards providing you the optimal beginning of your studies.
If you are ready to start learning, use the link below to enroll in the training at 50% off. Get access to the full set of courses for just $18/m.
DataCamp offers a great variety in terms of content. Two hundred and forty-eight courses, 7 career tracks, from more than 100 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, or 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 variety 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 help you with your project.
Another important difference between the two programs is that 365 Data Science focuses extensively on the use of Tableau as a visualization tool, whereas DataCamp relies on data visualization in R and Python.
365 Data Science offers best-in-class personalized customer support, answering any specific questions students might have. All of 365 Data Science instructors are involved in the Q&A support, bringing the most coherent experience possible for each student. This is critical for beginners and is a great workaround for situations when you get stuck and need some expert tutoring.
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 is a replacement feature, where you are more likely to get peer help, rather than support from instructors.
Both 365 Data Science and DataCamp provide access to exercises that help students practice what they have seen in any given lecture. DataCamp’s native ‘coding in the browser’ feature is one of their strongest assets. Students don’t need to switch between different windows while learning, which makes exercise activities seamless.
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 a number of additional resources, such as course notes, quizzes, and other downloadable files. Since you download these materials – you get to keep all of them even after cancelling your subscription.
Practical case studies
DataCamp and 365 Data Science both focus extensively on practical case studies. The main difference is that DataCamp offers these lessons as separate courses, while in 365 Data Science’s program case studies are provided after a series of lectures on a given topic, which encapsulate the knowledge gained up to that point in the course.
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.
Portfolio and CV feedback and help
365 Data Science focuses strongly on interacting with its students and offers to give data science portfolio advice when students are confident to showcase their skills. In addition, they will also give feedback to the student resume and optimize it before the student starts applying for data science internships or positions.
DataCamp does not currently offer this type of career-oriented support.
Certificate of completion
365 Data Science offers students a customizable certificate of completion once they finish the full program that includes their name, the developed abilities, and features the major completed projects during the training. In addition, students receive an individual certificate after each section of the training.
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 certificates of completion.
Both 365 Data Science and DataCamp offer a free version of their portfolios. At DataCamp, you will get the first chapters of all their courses, while at 365 Data Science, you’ll get the first major section of all courses. In both cases, there is plenty to learn even from the free version!
The two business models are identical – paid subscriptions that give you access to all the content.
Currently, DataCamp charges $29/month, billed monthly and $25/month, billed annually.
365 Data Science charges $36/month, billed monthly, or $29/month, billed annually.
Both e-learning platforms offer a rich portfolio of courses and practical exercises. And both provide verifiable certificates to their students. But which one is the best for your learning needs? Let’s find out.
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. They offer specialized ‘Career tracks’ which are a great option if you want to improve on your skills and refine them in a specific direction.
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.
Start developing your data science skills with 365 Data Science today. Use the link below to get a special 50% off discount and start learning for just $18/m.
If you’re still thinking about it, we also offer a free preview version of the Data Science Program. You’ll receive 12 hours of beginner to advanced content for free. It’s a great way to check if the program is right for you.