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I’m sure you’ve heard of Data Camp already. It’s a data science online learning platform that has been around for a few years.
But is it worth your time and money?
In this DataCamp review, I’ll give you my honest opinion of this online platform. I’ll include both the pros and cons of the platform, as well as my personal experience with it.
So whether you’re thinking about signing up or are just curious to know more, keep reading!
Is DataCamp Worth It?
DataCamp is worth it. It is an interactive, comprehensive platform that offers a range of courses on various topics in data science. DataCamp is also great for beginners since they offer courses on coding and data visualization. Furthermore, the platform is constantly updated with new content.
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Pros of DataCamp
1. Access to a wide range of courses and topics
DataCamp offers a huge variety of data science courses in data analytics, programming, and machine learning. There is something for everyone here!
Some common examples of courses include:
- Introduction to Python
- Data Visualization with R
- Machine Learning
- Introduction to Deep Learning in Python
These courses are not limited to just the common data science tools out there. There are more tools that you can learn from them too.
Some data science technologies you can learn from DataCamp courses include:
- Power BI
Moreover, DataCamp also provides professional certifications such as:
- Data Analyst Certification
- Data Scientist Certification
In addition to data analysis-related topics, DataCamp also has topics on data engineering, applied finance, and reporting.
2. Interactive learning platform
DataCamp is not just about theoretical knowledge. With its interactive coding challenges, quizzes, and real-world projects, it is an engaging and practical learning platform.
Among all the online course platforms I’ve tried, the online courses by DataCamp are the most interactive, which is great for honing practical skills related to data science. That’s because they have most of the required software available within the web browser.
Almost all the common programs like Python, R, Power BI, or even Tableau can be run natively on your browser with no installations required!
This makes DataCamp a really convenient option for beginners who want to pick basic skills up quickly without having to learn about the technical setup details.
For example, if I wanted to learn about Tableau to visualize data, I would have to get an expensive Tableau license before I could start practicing.
With the use of the course platform from DataCamp, I was able to pick up Tableau without the need to have a license or download the application on my computer!
3. Comprehensive data science curriculum
With its structured curriculums, DataCamp is the perfect place to learn data science from scratch or take your skills to the next level. The DataCamp curriculum is pretty well-rounded.
Most of their content is delivered either through text-based lessons or practice exercises. They also do have some video lectures to demonstrate or explain key data science concepts.
Also, as a bonus for completing each course successfully, you’ll earn a statement of accomplishment, which can be useful in motivating you to further learning!
Being a highly hands-on online learning platform, DataCamp focuses highly on practical data analysis skills related to the relevant data career paths. Each course typically included real-world projects to hone your data skills.
4. Flexible payment plans
DataCamp offers both monthly and annual subscription plans, so you can choose the one that is best for you.
Since DataCamp offers unlimited access through subscription plans, this makes it really value for money!
Included in every subscription plan is full access to the following:
- Career and skill tracks
Cons of DataCamp
1. Not the best for intermediate to advanced learners
DataCamp is more suitable for beginners who want to get their feet wet in data science.
Most data science courses within their library are suited to complete beginners who have no previous data science skills.
If you’re an intermediate or advanced learner, there may not be a lot of useful content on DataCamp for you.
For example, if you’d like to learn some intermediate data science skills related to hyperparameter tuning in machine learning, you won’t be gaining much more than you already know!
2. No live classes
DataCamp is a self-paced online learning platform, so there is no option to attend live classes or receive feedback from the instructors.
This could be a problem if you like the more interactive and social experience of attending a class in person.
Also, if you’re new to programming languages and would like a more personal and guided approach to learning, this might be something you’ll likely have to consider.
3. Limited technical setup experience
Another downside is that DataCamp is focused entirely on using its own in-browser application.
This means you won’t get much exposure to setting up your own system for running data science experiments, which is something most professional data scientists need to do to be successful.
Data scientists are generally expected to learn and set up data science technologies without much guidance.
Therefore, learning too much from the interactive coding environment in DataCamp may lead to a limited technical setup experience.
My Personal Experience With DataCamp
I’ve been using DataCamp for a few years now, and overall, I’m very happy with my experience.
The courses are comprehensive and interactive and give me an opportunity to apply what I learn in real-world scenarios.
Plus, I really like the flexible payment plans and the wide range of topics available.
I’ve personally used DataCamp to learn these data science skills:
- Cleaning data
- Visualizing data
- Python Programming
- SQL querying
- Machine learning
- Data engineering
In fact, my first taste of online learning there was their Introduction to Python course!
However, I do wish there was more content for intermediate and advanced data scientists, as well as a better way to get feedback on my work.
As I got better at the basics and moved on to tougher concepts, the content seemed too simple for me.
Overall, DataCamp is worth it if you’re looking for an interactive and comprehensive way to learn data science from scratch or take your existing skills to the next level.
It is also great if you want a flexible payment plan and access to a wide range of topics.
However, it is not suitable if you’re an intermediate or advanced learner or if you need more technical setup experience.
DataCamp offers three subscription plans:
- Basic Plan: $0/month
- Premium Plan: $25/month
- Teams Plan: $25/month
The Basic Plan is free and is suitable for beginners who want to learn the basics of data science. It provides limited access to those who would like to taste what DataCamp’s courses are like.
The Premium Plan is best for individuals looking for unlimited access to courses, an interactive coding environment, and career tracks.
They also have a student plan, which is a huge discount if you’re still in school!
The Teams Plan is great for teams of 2 and up who need features such as course creation, team insights, and sharing.
Is a DataCamp certificate worth anything?
DataCamp Certificates of completion may not be worth much in terms of job opportunities and credibility. However, they may show employers your commitment to mastering the skills taught in the course.
Is DataCamp better than Codecademy?
DataCamp is more comprehensive and focused on data science, while Codecademy is more generalized across all topics in tech.
If you’re looking to learn data science skills from the ground up, DataCamp is a better option.
However, if you want to learn a bit of everything, Codecademy is likely the best choice for you.
Is DataCamp better than Udemy?
DataCamp is better than Udemy. If you’re looking to learn data science from high-quality online resources, DataCamp is a better option.
However, if you are looking for shorter and more affordable courses, Udemy is likely the best choice.
Do DataCamp certifications mean anything?
DataCamp certifications mean a commitment to learning new skills within the ever-changing data science field.
The DataCamp professional certifications are vastly different from the statement of accomplishment certificates given to all course completions.
They carry more credibility and dedication to having a constantly-learning mindset.
However, just completing a DataCamp certificate would not immediately make you qualified to be a machine learning engineer straightaway! It would make a good stepping stone instead.
DataCamp is definitely worth your time and money. It is a comprehensive data science platform that is interactive, practical, and flexible.
With its wide range of courses and topics, it is the perfect place to start learning data science or take your skills to the next level.
I hope this DataCamp review helped you decide if it is worth it for your unique needs. All the best on your data science journey!