DataCamp Alternative: 365 Data Science vs DataCamp Comparison

Course Content, Features, Pricing: Why 365 Data Science Brings More Value to Beginner Data Science Students
DataCamp is one of the most popular platforms for e-learning. However, when it comes to online data science training, students have diverse learning goals and needs. 365 Data Science is a comprehensive platform that you can rely on to advance your skills, prepare for every aspect of the job application process, and start the career you want. Here’s how the value proposition of our program differs from the one offered by DataCamp.

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.

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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.

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2. Additional Features: 365 Data Science vs DataCamp

Q&A support

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 are a replacement feature, where you are more likely to get peer help, rather than support from instructors.

Exercise materials

Both 365 Data Science and DataCamp provide access to exercises that help students practice what they have seen in any given lesson. DataCamp’s native ‘coding in the browser’ feature is believed to be 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 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

As we mentioned, DataCamp is famous for its ‘coding in the browser feature’. However, there is a major downside to it. Whether you need to solve a programming task during your job interview, or you have just landed a job as a data professional, no employer will ever ask you to code in the browser. You will be expected to be completely confident in setting up the real environment yourself and solving complex tasks in it. And that is exactly what 365 Data Science provides in each programming-related course in the program – not only there are lessons dedicated to setup, but all exercise and practical tasks are carried out within the actual environment, so you are prepared for the real-world challenges of any data science or analytics job.

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 lessons 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.

Exams

Exams indicate you meet a high standard of competence and can give you a competitive advantage, more job opportunities, and a higher pay scale. 365 Data Science provides 3 types of exams to test the skills you have acquired with 3 types of timed online exams – Practice Exams, Course Exams, and Career Track 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

365 Data Science recently substituted Certificates of Completion with 2 types of Certificates of Achievement – Course Certificates and Career Track Certificates. Both are official 365 Data Science credentials that confirm your accomplishment and domain expertise.

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 60% or higher score.

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

Both 365 Data Science and DataCamp offer a free subscription plan. At DataCamp, you will get the first chapters of all their courses, while at 365 Data Science, you’ll get the first section of all courses. In both cases, there is plenty to learn even from the free version!

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
Premium

$29 $12.50 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
Premium

$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?

Both e-learning platforms offer a rich portfolio of courses and practical exercises. 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.

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.