365 Data Science vs. DataCamp

In the world of both, data science and machine learning, one often wonders: which is better?

The answer will probably surprise you. But, if you’re looking to learn how to apply a data science or machine learning technique, data science boot camps are a great place to start.

The two most effective online data science programs are 365 Data Science and DataCamp. We’ll take a look at their differences and how you can choose between the two.

In this post, we compare the different aspects of each program to help you decide which is right for you.

So what are you waiting for? Let’s dive right in, shall we?

What Is 365 Data Science?

365 Data Science is a subscription-based academic platform. It is a one-stop destination for aspiring data scientists. The platform prides itself on leading a world-class data science program.

In today’s world, there is a raging demand for quality data scientists. However, conventional degrees are too time-consuming and expensive, and many students prefer to step back from them. So naturally, an alternate solution to this dilemma was long overdue!

With such a platform, the 365 Data Science team aims at bridging such a gap. Affordable, high-quality training is given to students, and they get introduced to a whole new world of opportunities.

What is DataCamp?

DataCamp is another extremely useful educational platform and a strong competitor of 365 Data Science. It aims to guide modern professionals with the required data skills at their own pace and convenience.

From data science to non-coding essentials and machine learning, you can learn everything here with the help of prominent experts in the field. DataCamp helps you to upskill all your team members and lead them in making data-driven decisions.

What Is the Difference Between DataCamp and 365 Data Science?

DataCamp is a massive company. In comparison to DataCamp, 365 Data Science is a much more humble, smaller company. 365 Data Science has a small, compact team of 15 members.

The team at Data Science develops all the training in-house, and the company proposes slightly different values than DataCamp.

Course Content: DataCamp vs. 365 Data Science

Let’s discuss the differences in the course content of both platforms below:

365 Data Science

People often only look at weight and choose a ball that looks the best in that weight category.

If you are a beginner or intermediate-level student, 365 Data Science is ideal for you. The team at 365 Data Science has built the course curriculum so that the learner will get a strong foundation.

Such a strong foundation will aid the learning in quickly grasping more complicated topics that will come later in the program. The training begins with Mathematics, Statistics, and probability and offers the learner an overall description of all the data science and business intelligence fields.

Each course that you take at 365 Data Science is a natural continuation of the previously taught concepts. Thus, it is perfect for novice users. You won’t have to listen to the same content again and again. The lecturers will know your progress through the classes.

DataCamp

DataCamp gives you access to a wide variety of content, with seven career tracks and two hundred and forty-eight courses, taught by over 100 instructors. You heard that right! However, it might be a bit hard for an amateur to catch up with their lectures. So, know that before diving deeper into the course – we don’t want you knocked out before you’ve even just begun.

For example, the ‘Data Scientist with R’ does not include probability, linear algebra, or any kind of basic statistical training. Though these courses are available in the more extensive portfolio, they are not mentioned in the ‘Data Scientist with R’ track. 

You get a tremendous variety of courses, but they are pretty tough to navigate through. Such a categorization of the course material amplifies the problem for novice students who might not understand the logical order to how to organize their learnings.

However, the tables turn if you are an experienced player in the field. It is quite advantageous for people who know what they are doing. They can easily find specific answers for any project they are working on with the help of DataCamp.

Auxiliary Services: DataCamp vs. 365 Data Science

First off, you will need to know what kind of oiling pattern is used at your bowling alley.

Both platforms offer multiple auxiliary services. We have compared them on five factors:

Exercise Material

With both the programs, you will get access to helpful exercises that will provide the required practice for whatever you are taught in the lecture. DataCamp’s native ‘coding in the browser’ feature is a strong contender if you want us to talk about our favorites.

There is no need to switch between multiple windows while learning. Thus, the exercise activities become seamless.

On the other hand, things are slightly different at 365 Data Science. More focus is laid on course materials. You can find all exercises in coding notebook files, whereas the solutions are in the solution notebook files. 

With 365 Data Science, you access specific extra resources like quizzes, course notes, and other downloadable files. As you download them, they stay with you forever, even after you discontinue your subscription.

Q&A Support

For outstanding, personalized, and satisfactory customer support, you should incline towards 365 Data Science. All your answers will get answered.  Every 365 Data Science instructor is available for Q&A support. It is highly beneficial for beginners and brings them the most coherent experience.

This system is a fantastic workaround for instances when you can’t grasp something and require expert, individual tutoring. 

Unfortunately, there are no Q&A support services included in your DataCamp package. The students can’t contact their teachers through the platform. However, there is a community discussions section available to make up for it. 

Here, you can ask your peers for help; but you still won’t be getting any expert guidance.

CV and Portfolio Help

Interaction is a priority at 365 Data Science. There is strong communication maintained between the students and the tutors on the platform. It also offers aid in building a good data science portfolio when the students are ready to go into the professional world.

Moreover, you also get feedback on your resume and get it optimized before submitting applications for data science positions and internships. On the other hand, DataCamp doesn’t provide such sort of career-oriented guidance and support.

Certificate of Completion

Once you complete the entire program at 365 Data Science, you will receive a customizable Certificate of Completion. This certificate will include your name and your abilities and features the critical completed projects throughout your training.

Furthermore, students also get individual certificates after each section of the training.

Similarly, if you take up a course at DataCamp and complete it, you will rightfully receive your Certificate of Completion. On both platforms, the credentials of completion are provided free of cost.

Practical Case Studies

If you enroll for a course on any of the two platforms, you will be signing up for extensive practical case studies. 365 Data Science and DataCamp place immense importance in these case studies.

DataCamp provides these lessons as separate courses altogether. However, 365 Data Science’s program’s case studies are given after a series of lectures on any topic. These case studies summarize all that you learn up until that point in your course.

In this department, DataCamp succeeds as it provides a greater number of advanced practical case studies in its curriculum. If you are a data scientist stuck with a specific problem, you will most likely make a breakthrough with DataCamp’s resources. 

Pricing Difference: DataCamp vs. 365 Data Science 

You can access the free version of both DataCamp and 365 Data Science’s portfolios. When it comes to DataCamp, you get access to the first few chapters of all their courses. On the other hand, at 365 Data Science, you will check the initial section of all their courses.

So, you don’t need to worry if you are tight on budget. Both the platforms have plenty to offer, even with their free version. Both the business models are pretty similar to each other.

With a paid subscription, you will get access to all their content. As of now, 365 Data Science charges $36 per month if billed monthly. For an annual subscription, you pay $29 for a month.

DataCamp is slightly cheaper at $29 a month if billed monthly and $25 a month annually.

Is 365 Data Science Worth It?

In today’s world of technology, data science is a field that’s in demand. However, unfortunately, it is not for everyone. A person needs to have passion and love for such work. They also need the right mindset for this sort of work.

Thus, if your aim is concrete and you only want to become a data scientist, we’d recommend this program. 365 Data Camp’s program is probably the best match you can get.

However, if you are still a bit dubious and not confident about going into this line, take your time. You can start with a single course or even a small set of courses. Later, you can work hard to solve a few business-related issues with the help of your newly acquired skills.

The Final Verdict – 365 Data Science vs. DataCamp

Well, to tell you which platform is the best is a bit tough for us. Both the platforms are perfect and provide a diverse portfolio of practical exercises and courses. In fact, on completion of each course, you receive verifying certificates by both e-learning platforms.

So, which one is better in catering to your learning needs and requirements? Let us see.

As mentioned earlier, DataCamp is ideal for people with certain prior experience. If you know some basics of data analysis and programming or data science, you can benefit a lot from DataCamp.

DataCamp courses contain multiple solutions which are grounded in specific real-life cases. Hence, if you have something particular in mind, you can find it here.

Thus, at DataCamp, you receive specialized ‘career tracks,’ which can be a great option if you want to hone your skills and refine them in a particular direction.

On the other hand, 365 Data Science is more beginner-friendly. It lays a lot of importance on novice data scientists and provides a fully integrated all-in-one solution for learning. 

The training is developed to master the fundamentals before moving onto advanced and more challenging concepts. 

So, 365 Data Science will help you learn the necessary statistics skills and linear algebra to model your data, with the three major programming languages (SQL, R, and Python) later.

Such a learning course will teach you how to develop machine learning algorithms. The platform is also very particular about student-teacher interaction and feedback. Thus, beginner learning is adequately encouraged and supported.

In short, if you are getting into the world of data science, you should opt for the 365 Data Science Curriculum. The structure of this program offers a supportive environment and also a superior learning experience.  

Frequently Asked Questions

Now that we have given you our detailed comparison between DataCamp and 365 Data Science, let’s get to some of the most commonly asked doubts people have.

1) What Is Data Science About?

Data science amalgamates various fields, including scientific methods, statistics, AI (Artificial Intelligence), and data analysis to extract value from data.

Those who practice data science are known as data scientists. They use a wide range of skillets to get actionable insights to analyze data accumulated from the web, customers, smartphones, sensors, and other sources.

Data science includes preparing data for analysis, aggregating, cleaning, and manipulating the sad data to perform advanced data analysis. Data scientists and analytic applications can then review the results to understand patterns. 

Further, they can aid business leaders in drawing informed insights.

2) Is 365 Data Science Free?

As we mentioned earlier, 365 Data Science is a subscription-based educational platform. However, you don’t need to spend any money initially as a significant chunk of their course material is free, and you can learn plenty from them.

Once you decide that you want to avail all the courses, you can go ahead and get a subscription for $36/month, if billed monthly, or $29/month, if billed annually.

3) How Much Does DataCamp Cost?

To understand the plans and pricing of DataCamp, you need to realize there are three types of plans for each willing learner:

• Free
• Standard
• Premium

With the free plan, you get access to the first chapter of every course available on DataCamp. You also get access to the initial chapter of the three practical challenges, one skill assessment, and the seven projects offered by the platform.

The free plan, though restricted, can give you a good idea of what you can learn on DataCamp and help you solidify your decision about purchasing the subscription. We’d recommend you to start with this plan only. 

The standard plan gives you access to more than 335 courses, unlimited skill assessments, 14 career tracks, practice challenges, and much more. The standard plan is around $12 a month. However, the pricing may change.

Finally, the premium plan is the most expensive package you can opt for. You get access to everything available in the Standard Course. On top of that, the premium plan also offers 80 extra projects, Power BI, Tableau, Oracle content, and priority support.

4) What Is the Best DataCamp Course for Data Science?

DataCamp has some fantastic courses for data science aspirants. We have listed some of the best data science courses that DataCamp offers below.

All the lessons are extremely valuable and worth the money you will be spending:

• Python Programming Tutorial with DataCamp
• R Programmer Tutorial
• Statistics Fundamentals with R
• Data Analyst with Python
• Data Visualization with R
• Learn R
• Text Mining with R Course
• Machine Learning with Python Learning Path
• Data Scientist with R on DataCamp
• DataCamp’s Data Scientist With Python Tutorial

5) What Is the Difference Between Data Science, Machine Learning, and Artificial Intelligence?

To get a good grip over what data science is and how it can benefit you, you must understand the other related terms to the field. You need to get the hang of words such as AI or Artificial Intelligence and machine learning.

More often than not, you will find these terms being used interchangeably. However, there are specific nuances between all these very closely related terms.

To give you a better understanding, we have provided a breakdown below:

• AI or Artificial Intelligence means that you get a computer to mimic human behavior in a certain way
• Data science is a subset of Artificial Intelligence. This field leans more towards overlapping areas of data analysis, statistics, and scientific methods. All of these components are used to extract insights and meaning from the data obtained
• Machine Learning is also a subset of Artificial Intelligence, and it includes techniques that aid computers in figuring things out from the data. It further aids computers in delivering AI applications
• Deep Learning is a subset of machine learning. Deep learning enables computers to solve complicated and more complex problems

6) What Is a Time Series?

Time Series data is an amalgamation of observations obtained with the help of repeated measurements over time. The observer plots the point on a graph, and one of the axes would always be time.

You can find time series data everywhere as time is a constituent of everything observable. With the world increasingly instrumented, systems and sensors are constantly emitting a relentless stream of time series data. 

This data has various applications across numerous industries. Time series data can be beneficial for:

• Tracking changes in any app performance
• Tracking network logs
• Tracking daily, hourly, and weekly weather data
• Medical devices to visualize vitals in real-time

7) Are DataCamp or 365 Data Science Certificates Worth the Effort?

There is absolutely no doubt that both 365 Data Science and DataCamp are reputed e-learning platforms for data science. However, the certificate is only useful as long as you pay attention to what you learn, as it is only then that you get the true essence of the course. 

You should hone your skills to prove your worth, and a certificate is only complimentary. Why? Without any skills, the certificate is just a random piece of paper. Thus, your sole motivation for joining a training, program, or course shouldn’t be just acquiring the certificate. 

Data Science or 365 Data Science certificates are just an indication that you have a keen interest in learning more about data science. However, to prove your mettle, you will have to showcase the skills that you acquired through the program.

Are DataCamp or 365 Data Science certificates credible? Of course, they are!

Wrapping Up

That is about it for all the data science aspirants here! Data Science is an ever-growing and dynamic field to pursue today. The demand is increasing more and more every day.

However, traditional data science courses are costly and require you to dedicate a lot of time. We all know time and money are two precious things in our lives.

So, these days there is a rising trend of learning data science from e-learning platforms such as 365 Data Science and DataCamp. 

While both platforms are highly beneficial, there are slight differences between them. 365 Data Science is ideal for absolute novices who are just starting in the field. In 365 Data Science’s program, all the fundamentals are cleared before moving to the advanced topics.

On the other hand, DataCamp is perfect for professionals who are looking for specific answers. DataCamp has a wide variety of courses and a lot of material. 

DataCamp has no policy for student-teacher interaction, whereas 365 Data Science emphasizes communication between parties.

There are other differences too which we have discussed in the articles. Finally, we also answered some of the most commonly asked questions you might have related to data science.  We hope this article was helpful for you.

Happy learning!