365 Data Science vs DataCamp: Which is Better?

Have you been thinking about becoming a data scientist for some time? Did you finally decide to take the first step in the journey to become one? As a meme perfectly says, welcome to the dark side of science – data science. Many people start learning data science with high hopes; only a few make it to the end.

So many websites and other resources are available to learn data science, but are they worth it? Do they help you understand what you need to know? If you are asking yourself these questions, stop before you spiral further. Everyone experiences these doubts and uncertainties (it’s inevitable like a mid-life crisis); you are not alone.

We will help you realize how using either website can benefit you in this 365 Data Science vs DataCamp article. Of course, you will also know why these websites may not work for you. You can confidently begin learning if you choose between them after careful deliberation.

About 365 Data Science and DataCamp

365 Data Science and DataCamp are online learning platforms designed to help improve your data skills. Don’t worry, they take good care of you even if you think your data skills are non-existent. Bright-eyed, bushy-tailed newbies and enthusiasts can become competent using either platform to learn.

Comparing 365 Data Science vs DataCamp

The key difference between 365 Data Science and DataCamp is that the former focuses more on data science, whereas the latter focuses on data science and AI equally. Many other differences exist, and we will discuss them all. By the end of this article, you will know whether DataCamp or 365 Data Science is the right choice.

Course Offerings

365 Data Science has 77 courses on various topics such as Python, R, Excel, Power BI, SQL, Git, Tableau, Chat GPT, etc. You will learn how all these topics are related to data science and how to use them. The structured format of these courses is 365 Data Science’s greatest strength. 

You can follow the customized learning path it creates or choose to start any course you like. The course library has five modules, and there is no hard and fast rule that you should start from module one. In the present world, merely having stellar courses doesn’t mean much. People expect recommendations as to where and what course to begin with.

Custom learning paths are good for this purpose, but career tracks are better. 365 Data Science has three career tracks: Data Scientist, Data Analyst, and Business Analyst. It’s a fantastic choice for beginners and intermediate learners. So, what about DataCamp? How does it fare against 365 Data Science?

DataCamp has 490+ courses to help develop and improve your data and AI skills. The skill and career tracks are helpful when you feel lost in the sea of courses on this website. Let’s see who emerges the victor in the 365 Data Science vs DataCamp data science courses debate. While the former has limited courses, they are highly focused and rich in content.

DataCamp courses are great, but some aren’t as beginner-friendly as 365 Data Science’s. Rookies may be baffled at first while progressing through the lessons. Therefore, DataCamp has a comparatively vast course library, but 365 Data Science has more in-depth, beginner-friendly content that seamlessly flows from one course to another.

✅ Winner – 365 Data Science

Content Quality

If by content quality, you mean how authentic, useful, and relevant the content is, both platforms have high-quality content. However, 365 Data Science wins if you add the mode of delivery and the ease of understanding to the equation. 

In short, deciding whether to use 365 Data Science or DataCamp is like choosing between the unabridged Shakespeare plays and the abridged versions. Both versions make the storyline clear but one version is easier to read and understand.

✅ Winner – 365 Data Science

Instructors Experience

DataCamp has passionate, enthusiastic instructors who view teaching as another challenge they can overcome. They want to help you understand what you learn. Of course, just because someone is a subject matter expert doesn’t always mean they can teach flawlessly. Fortunately, DataCamp instructors mostly succeed in imparting relevant knowledge.

If you are wondering ‘Which is better DataCamp or 365 Data Science?’, You have just stumbled upon the question in many people’s minds. The truth is, it depends on what type of instructors you like. Don’t give me the stink-eye; I will explain further. 

365 Data Science Instructors teach in a fun, relatable manner, whereas DataCamp instructors are more concerned with breaking down complex concepts. Instructors on both platforms are highly experienced. That’s why I said the answer to ‘who is better?’ depends on your preference (I hope that was helpful, now let me slink away in peace).

✅ Winner – Both

Learning Methods

A website’s worth is determined by the means it provides for you to learn happily, not just the content presented in the video courses. DataCamp has code-along, quizzes, coding competitions, practice exercises, etc. You don’t have to set up Jupyter Notebook and similar tools or apps to learn various programming languages. 

DataCamp provides you with the required tools to code. On the other hand, 365 Data Science has quizzes, downloadable files that are accessible even if your subscription ends, and course notes. Moreover, it also guides you through the process of setting up the necessary tools in every course related to programming. 

While DataCamp provides more practice, 365 Data Science is better for learning about the installation process and familiarizing yourself with the workings (how to use the various features). That way, you won’t face issues when coding for fun or testing an idea without assistance. 

However, the feature I love the most about 365 Data Science is the card collection. You can collect cards from six categories with four cards each. Consistent studying, passing exams, and leveling up help you collect those cards. It gives me the extra motivation I need to keep learning. Each card will provide you with a unique benefit.

✅ Winner – Both

Practical Focus

In this DataCamp vs 365 Data Science debate, let’s discuss how much importance each platform assigns to practical knowledge. The latter has some case studies and projects to work on, but the former’s sheer amount of case studies, projects, and practice exercises can’t be matched. 

Moreover, DataCamp’s DataLabs are fun and easy to use. The AI assistant, too, is great at explaining what you did wrong. So, instead of bashing your head on the table screaming ‘Not this again’ when you receive an error message, you can simply ask the AI to point out what went wrong.

✅ Winner – DataCamp

Certification Value

Certificates of completion aren’t as worth as much as they are hyped to be no matter how reputable the platform providing it is. However, certifications are valuable to a certain extent. DataCamp provides Data Science and Data Analyst certifications. You have to pass an exam to get certified. 

365 Data Science goes above and beyond to provide certificates of achievement. You have to pass the course and career track exams to get certified. Practice exams help prepare for the course exams, and you can access the career track exams only when you pass the required course exams. 

Since you get a thorough understanding of theoretical and practical knowledge, 365 Data Science wins this round. In short, its holistic approach to learning is appealing to the masses. 

✅ Winner – 365 Data Science

Customer Support

Sometimes, the absence of something reflects the subject’s quality. That’s the case in this round. The lack of reviews ranging from bad to murderous indicates how well these platforms handle their users.

So based on my personal experience and what I heard from other users, I can say that both these platforms provide excellent customer support.

✅ Winner – Both

Pricing and Value For Money

DataCamp’s monthly premium plan costs $29/month, and the annual plan costs $13/month. Is it worth it? Yes, if you like the platform and want to utilize all its features.

365 Data Science has a premium plan that costs $36/month ($29 if billed annually). You get resume feedback, portfolio advice, and personalized support if you subscribe. So, you don’t have to worry about wasting the money you earned with Plutus’ blessing (Plutus is the Greek God of wealth).

✅ Winner – Both

Community

DataCamp has a great Slack community. You will receive a lot of help from your fellow learners promptly. The community is so supportive some have cited it as DataCamp’s greatest strength. So, can 365 Data Science one-up it in this round? Absolutely.

Are you shocked? So was I. Do you know what catapulted 365 Data Science to victory? The Q&A Hub. Here, you can interact with other learners, ask course-related questions, etc. But what sets it apart is that the instructors are part of the Hub, too. Therefore, you receive mentor support in addition to peer support. Awesome, right?

✅ Winner – 365 Data Science

User Interface

365 Data Science has a pleasant user interface. Navigating some websites can be like wading through Daedalus’ labyrinth (the poor man himself struggled to get out). Fortunately, that’s not the case here. The UI is smooth to navigate and it’s impossible to feel lost.

DataCamp, too, has a fantastic UI. You may need some time to get used to the color theme. Otherwise, you won’t have any trouble. Skipping between lessons is easy on DataCamp, and it’s awesome that you can easily switch the subtitles to any language you like during the video lectures. I can see the language enthusiasts perking up; have fun, guys!

✅ Winner – DataCamp

User Feedback

Some feel that the subscription pricing is a wee bit high on 365 Data Science. It should look into that. And, it would be cool if it added subtitles in languages other than English. DataCamp needs to make some innovative changes so that people don’t feel like they are stagnating using a platform that never offers something new. 

✅ Winner – 365 Data Science (it’s like choosing the lesser of two evils.)

Who Should Use 365 Data Science?

365 Data Science is for those whose only focus is data science. Unsurprisingly, many people fall into this category, as mastering data skills may take (seemingly) forever. Its courses are stellar and the additional resources like career guides, flashcards, and blogs are great for gaining extra knowledge about the field. I liked the recent article on AI trends.

Who Should Use DataCamp?

DataCamp is a great choice if you want a variety of content types. DataCamp has podcasts, blogs, tutorials, and cheat sheets to augment its video lectures and slides. It will help you hone your data and AI skills as advertised. While opinions are mixed on what level learners DataCamp targets, it is undeniable that it is effective in teaching whatever topic you choose.

Alternatives

Pluralsight and Udacity are excellent alternatives if you are looking for similar websites with a narrow focus. Coursera is a fantastic choice if you need a credible certificate of completion. LinkedIn Learning is a good option if you want to-the-point lectures.

Udemy is best known for its abundant courses for any skill you want to develop or hone (it’s a cornucopia of courses!). Codecademy, Treehouse, and freeCodeCamp are other exceptional alternatives if you are more interested in learning to code than applying them in data science.

Final Verdict: 365 Data Science vs DataCamp

Who do you think won the 365 Data Science Vs DataCamp battle? If you have paid close attention, you would know that the former won more rounds. Does that mean DataCamp isn’t worth your attention? 

Of course, not; using DataCamp has its perks, too. Therefore, it loses gracefully to 365 Data Science in this bloody battle. Remember, DataCamp is great for practice, and 365 Data Science is better for certifications.