Want to learn data science, programming, or how to code systematically? When it comes to learning data science online, DataCamp and Codecademy are two of the most popular platforms.
Both Codecademy and Datacamp provide on-demand data science courses that are totally online and are available through monthly subscriptions. These institutions provide a variety of professional paths, including portfolio projects. Additionally, these tracks can advance students from beginners to entry-level, career-ready positions as programmers, data engineers, data scientists, data analysts, or machine learning scientists.
Which online learning environment, Codecademy or Datacamp, is ideal for you? Let’s examine how they stack up against one another regarding learning style, focus, pricing, and curriculum.
Let’s dive into comparing Codecademy and Datacamp and help you identify the right one for your career upgradation.
Codecademy vs. Datacamp Reviews: Key Takeaways
|Overall Rating||5 out of 4||4.5 out of 5|
|Pricing||Pro costs $ 19.99/month||Datacamp standard costs$25/month|
|Curriculum Types||Offers 1 career path for data-science||Offers with 14 courses to enhance career paths|
|Time Commitments||6-10 weeks||62-115 hours|
|Additional Benefits||Private Facebook page interactions||Live class and customer care support|
|Free Courses||Yes||Partially yes, the first chapter of each course(non-member access)|
|Personalized Learning Ways||Partially yes, the first chapter of each course(non member access)||Slack community support|
Codecademy vs. Datacamp Courses Overview
Let us now check out the detailed comparison.
Being an online education provider, Codecademy develops and offers career and skill pathways centered on programming languages. It is a platform that beginners and those wishing to learn new skills or obtain experience for a new career should take advantage of.
Codecademy: Registration Process
You can easily sign up for a free account at Codecademy by entering your email address and password and clicking Sign up. Moreover, you can register using LinkedIn, Google, Facebook, or GitHub. You can then decide to upgrade to one of its paying plans after you’ve signed up.
DataCamp is an online learning platform that offers courses in various areas of data science, including statistical programming in Tableau, machine learning, data visualization, and more. Their courses are designed to be interactive and hands-on, allowing students to learn by doing coding alongside the team of lecturers.
DataCamp courses are delivered through a combination of videos, interactive coding challenges, and projects. Each course is divided into chapters, with each chapter covering a specific topic or skill. Students can work through the chapters at their own pace, and they can access the courses on any device with an internet connection.
Overall, DataCamp provides a comprehensive and engaging platform for learning data science skills, making it a popular choice for both beginners and experienced professionals looking to upskill or reskill.
Datacamp: Registration Process
It’s really easy to sign up for Datacamp; all you need to do is enter your email address, choose a password, and your account will be quickly established. In addition to entering your email address, you can sign up for a free Google, LinkedIn, or Facebook account. If you ultimately decide you want to upgrade to a paid account, you can do so by selecting upgrade and entering your credit card information.
Codecademy vs. Datacamp: Featured Courses and Pricing Structure
After going through the overview and understanding Codecademy and Datacamp, let us now dig into the details of both platforms and find out which one will best suit your needs.
Codecademy: Additional Features
Codecademy is an online platform that offers interactive coding courses for various programming languages. Some additional features of Codecademy are:
- Projects: Codecademy provides hands-on coding projects that allow learners to apply what they have learned in real-world scenarios. These projects help learners build a portfolio of work that they can showcase to potential employers.
- Community: Codecademy has a community of learners and mentors who can provide guidance and support throughout the learning journey. Learners can ask questions, share their work, and receive feedback from others.
- Mobile app: Codecademy has a mobile app that allows learners to access their courses and projects on the go. Can make use of version of the app is available for iOS as well as Android.
- Skill paths: Codecademy offers skill paths that are curated collections of courses designed to help learners develop specific skills. For example, learners can follow a skill path to become web developers, data analysts, or machine learning engineers.
- Certificates: Codecademy offers certificates of completion for its courses. These certificates can be added to a learner’s LinkedIn profile or resume to demonstrate their skills to potential employers.
- Career resources: Codecademy offers career resources such as job listings, resume reviews, and interview preparation tips to help learners transition into a career in tech.
- Pro membership: Codecademy offers a Pro membership that provides additional features such as quizzes, personalized feedback, and live tutoring sessions. Pro members also have access to exclusive courses and projects.
Datacamp: Additional Features
DataCamp is an online learning platform that offers courses and tutorials on data science, machine learning, and other related topics. Here are some additional features of DataCamp:
- Projects: DataCamp offers interactive projects that allow learners to apply their skills to real-world scenarios. These projects provide learners with hands-on experience and help them build their portfolios.
- Practice: DataCamp offers a variety of practice exercises and quizzes to reinforce learning and test knowledge. These exercises are designed to be interactive and engaging, providing instant feedback to learners.
- Community: DataCamp has a community of learners and instructors who can connect with each other, share ideas and knowledge, and provide support.
- Certificates: DataCamp offers certificates of completion for its courses. These certificates can be shared on LinkedIn or other social media platforms to showcase the learner’s skills.
- Mobile App: DataCamp has a mobile app that allows learners to access their courses and content on the go.
- Skill Tracks: DataCamp offers skill tracks that allow learners to follow a learning path and develop their skills in a particular area. Skill tracks are designed to be comprehensive and cover a range of topics.
- Career Tracks: DataCamp also offers career tracks that provide learners with the skills and knowledge they need to pursue a career in data science. These tracks are designed to be practical and relevant to the current job market.
Overall, DataCamp offers a range of features that make it a comprehensive and effective learning platform for data science and related topics.
- “Advanced Web Development with React”: This course could cover topics such as building more complex web applications with React, advanced state management, testing, and deployment.
- “Introduction to Machine Learning with Python”: This course could cover the basics of machine learning, including supervised and unsupervised learning, classification, regression, and clustering. Students could also learn how to use Python libraries such as NumPy, Pandas, and Scikit-learn.
- “Data Visualization with D3.js”: This course could teach students how to create dynamic and interactive data visualizations using the D3.js library. Topics covered could include creating charts, graphs, and maps, as well as animating data and using external data sources.
- “Building APIs with Node.js”: This course could teach students how to build and deploy RESTful APIs using Node.js and Express. Topics covered could include routing, middleware, authentication, and error handling.
- “Mobile App Development with React Native”: This course could teach students how to build cross-platform mobile apps using React Native. Topics covered could include building user interfaces, accessing device features, and handling app states.
- “Blockchain Development with Solidity”: This course could teach students how to build decentralized applications using the Solidity programming language and the Ethereum blockchain. Topics covered could include smart contracts, tokens, and decentralized finance (DeFi) applications.
- “Cloud Computing with Amazon Web Services (AWS)”: This course could teach students how to deploy and manage applications on the AWS cloud platform. Topics covered could include EC2, S3, Lambda, and other AWS services.
- “Game Development with Unity”: This course could teach students how to build 2D and 3D games using the Unity game engine. Topics covered could include creating game mechanics, designing levels, and implementing audio and visual effects.
Codecademy: Pricing Plan
The pricing of the Codecademy Pro subscription can be either monthly or yearly. Students must pay $39.99 per month if they decide that doing so will be more cost-effective for them. It costs $19.99 per month or $238.88 per year if the student has the financial freedom to pay for the annual subscription all at once. The overall savings of a yearly membership versus a monthly subscription is the only distinction between each subscription form.
Datacamp offers 350+ courses, as well as skill and career tracks, that are intended to educate you for a certain function or career path and focus on subjects like data science and analytics. With tasks to do along the way, its courses are made to be very interactive and engaging for users.
Datacamp offers a wide range of courses on various topics related to data science, statistics, and programming. Some additional courses that Datacamp offers are:
- Data Visualization with ggplot2 (R) – This course teaches how to create data visualizations using the ggplot2 package in R.
- Advanced SQL for Data Scientists (SQL) – This course covers advanced SQL topics, such as subqueries, joins, and window functions, that are commonly used in data science.
- Applied Finance in R (R) – This course teaches using R for financial data analysis and modeling.
- Deep Learning in Python (Python) – This course covers the basics of deep learning and neural networks using Python and Keras.
- Time Series Analysis in Python (Python) – This course covers the concepts and techniques for analyzing time series data using Python.
- Statistical Thinking in Python (Python) – This course covers the statistical concepts and techniques necessary for data analysis using Python.
- Spatial Analysis in R (R) – This course teaches how to analyze and visualize spatial data using R and its packages.
- Introduction to Bioinformatics in Python (Python) – This course teaches how to use Python for analyzing and interpreting biological data.
- Forecasting using ARIMA Models (R) – This course covers the basics of time series forecasting using the ARIMA model in R.
- Data Engineering with Python (Python) – This course teaches how to work with data at scale using Python and its libraries for data engineering.
These are just a few examples of the many courses offered by DataCamp. You can explore their website to find courses on specific topics that interest you.
Datacamp: Pricing Plan
Depending on the plan you choose, Datacamp’s pricing ranges from free plans to $25 monthly, billed annually bundles. There are several programs available, each with fantastic features, resources, and tools of their own.
With the aid of our chart, compare a few of the well-liked options underneath. After that, read on to learn more information and decide which program and payment schedule will work best for you.
- Data Science
- Web development
- Data visualization
- Computer science
- Code foundations
- Mobile development
- Web design
- And many others
- Power BI
- And more
Codecademy vs. Datacamp: Pros and Cons
Now let us check out the pros and cons of Codecademy and Datacamp.
Codecademy has its pros and cons. Below are the mentioned pros and cons of Codecademy.
- There is a tonne of free stuff available so that you can learn for free.
- It’s a wonderful choice for learning several programming languages because it covers many topics.
- After each course, you are given a certificate.
- The paid service is reasonable.
- To complete the workouts and receive certifications, you need the Pro plan.
- There isn’t a broad professional certification program available.
- There are no career services offered.
- The mobile app is solely intended to be used as an extra tool.
The followings are the pros and cons of Datacamp.
- It is a nice environment to visit if you want to learn data science.
- You may quickly narrow down your search for courses by topic or technology.
- It may benefit your work life (career services and professional certification).
- Workspace is a tool that may be used in a browser to conduct data analysis.
- Almost no free content is available.
- Unless you purchase the most expensive plan, you are not permitted access to projects.
- The cost of career services can fluctuate.
Final Thoughts; Who should Chose Codecademy and Datacamp Courses
In general, I encourage Codecademy. They are not just chasing your money because it has been around longer and began as a free platform for learning how to code.
In contrast to DataCamp, it provides a tonne of free content, and if you join up for the free plan, the price is lower.
Finally, although DataCamp has some benefits (such as career services), Codecademy offers a greater range of subjects, enabling you to learn more.
To sum up, Datacamp is excellent if you are interested in data science and statistics with an emphasis on your job. But this really depends on what it is that you want from a course and platform. Whereas Codecademy has a more structured learning approach and is excellent for learning the fundamentals of several programming languages.
These certification courses include interactive, beginner-friendly lectures that give students a positive learning experience and equip them to tackle assignments in the real world. The opportunities that these certification programs provide make them worthwhile.
Both certificates and certifications are available from DataCamp. Upon completion of courses and tracks, certificates—which we refer to as Statements of Accomplishment—are given. They are not evaluated in any way. These can be distributed across your network as proof of passing the course.
A list of alternatives and competitors to DataCamp that evaluators deemed to be the best overall includes Pluralsight Skills, LinkedIn Learning, Udacity, and Coursera.