DataCamp Vs. Codecademy: Which Is Better to Learn Data Skills?

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People with excellent data skills are in high demand as leading companies gather and depend on data to make decisions. You can also use it to your advantage to build a business and use data as a framework for your entire business processes. However, you need more time to enroll in a school or find someone to teach you.

So now, here you are, looking to learn data skills online. Looking it up, you can see DataCamp and Codecademy at the top of the search results. The good news is that both can teach you data skills, whether you want to study data science, programming, or how to code, for example. To see which will suit you best, here's a review of DataCamp vs. Codecademy.

Is DataCamp Good for Learning Coding?

DataCamp.com is one of the best online learning environments for learning the famous Python programming language and more. Based on multiple DataCamp reviews, it features many classes on its site to enable users at all levels to acquire the appropriate practices and basics of data skills.

DataCamp Features and Advantages

• DataCamp reviews show that it has a proven learning methodology, so you can practice and apply your skills through the help of learning paths designed by experts. First, it assesses your abilities and tracks your progress. You may learn more by taking interactive courses. Then they will provide you with an opportunity to practice with fast daily tasks before applying them in real life by addressing real-world problems.

• There is no need for installation for the hands-on learning experience. You can study and run code directly from your browser, making it ideal for novices. It's your in-browser tool for creating, running and sharing data analyses.

• Learn from the best instructors who are seasoned experts in different coding skills.

• Watch and answer interactive exercises and short videos as part of your course program. Or learn new technologies to supplement your data skills, including Python, Excel, Tableau, Spreadsheets, Oracle, GIT, etc.

• Master a specific skill like SQL Fundamentals, Data Literacy, Machine Learning, Statistics, Marketing Analytics, NLP, Applied Finance, Data Visualization, and more.

• The DataCamp Signal feature allows you to find your data skill level for free by utilizing an effective learning process that begins with evaluation.

• DataCamp reviews can help you obtain your ideal career in data science by providing everything from a data science certification to individual resume evaluations and interview preparation.

Moreover, DataCamp reviews reveal that users like the entire ecosystem because they can take a course, practice with DataCamp Projects, create a portfolio with Workspace, apply for employment, and get certified all in one platform. In addition, there is a variety of supplemental information on the blog/tutorials/podcast/cheat sheets.

Codecademy

Beginners in coding also have one more place to go—Codecademy.  The classes are focused and comprehensive, allowing you to test and analyze your knowledge. All these can help you make quicker progress than you could have imagined. Here are a few of the critical services it offers:

• Courses in crucial programming languages such as Python, SQL, R, and others

• A code-as-you-go approach in which you build practical skills while learning on the job

• Over 60 courses are available for free

• Workspaces where you may code independently

• A coding community with forums and events to connect with

• Courses addressing business-related data skills such as machine learning, web development, and data visualization

DataCamp Vs. Codecademy

To give you another clear difference, we listed features that better highlight DataCamp vs. Codecademy as a data-learning platform.

Ease-of-Use & Interface

As for the ease of use of DataCamp vs. Codecademy, the registration processes are both straightforward. Both Codecadaemy and DataCamp logins give you Learning for Free by entering your email address and creating a password, and you can establish an account immediately. You can also add email addresses or create a free Google, LinkedIn, or Facebook account.

Courses & Skills

After registering with DataCamp, you can explore its courses and skill and career tracks. The free plan only allows you to access six courses and the first chapter of each course. If you are a total newbie, Codecademy lets you take a quiz to get started. Answering eight basic questions will guide you in the proper direction for various courses and pathways.

DataCamp focuses on data science and analytics and provides 350+ courses to improve your competency in data and to give you a boost in data science-related career tracks.

Codecademy has fewer courses throughout 20+ disciplines and 15 programming languages. It is a coding platform that also provides data science and analytics courses.

Available Languages

DataCamp reviews show that it's primarily an English-teaching site, but subtitles are available in German, Spanish, Arabic, and Simplified Chinese. Codecademy, on the other hand, solely provides courses and site navigation in English.

Certificates

DataCamp now includes Professional Certifications in its course portfolio, including Data Scientist and Data Analyst Professional Certifications. They are produced by DataCamp and built on a foundation of job market data to equip learners to be job-ready for these specific occupations.

On the other hand, when you successfully finish a course or route, Codecademy provides certificates of completion as part of its premium membership programs. This certificate serves as a recognition, and learners can save and distribute it as they see fit.

Teachers

DataCamp is a network of over 270 data science and analytics industry specialists. They collaborate closely with the teachers to help them during the course-building process, and they accept responsibility for their work. However, you cannot contact them directly to answer queries or get comments.

Codecademy operates uniquely. It employs hundreds of people to plan, create, and publish its course catalog. Its methodology implies that there isn't a person behind each course but a team and a platform.

Community & Customer Support

Most DataCamp reviews stated that they prefer its active community. It communicates via Slack and offers multiple channels and the provision to send direct messages to colleagues who can help address questions or concerns. If your queries still need to be answered, you may submit a support request.

Codecademy includes a community section with forums, chapters, and events to address learners' doubts or queries. However, the forums are less active, so you might not be able to get answers right away.

Both include a typical help website with numerous articles to answer usual questions and issues and a chatbot that can respond to your problems in less than 48 hours.

Pricing

Both Datacamp and Codecademy operate on a subscription basis, charge an annual fee, and provide a free basic plan for you to test the platform before committing.

However, there are more than just DataCamp discounts to enjoy. Monthly customers can also stop their membership anytime. Your membership will automatically be revived when you continue and you won't lose any progress, making learning flexible.

Which One Is Best for Businesses?

DataCamp has two main plans: Teams and Enterprise. The Team plan is intended for a small group of users (less than 100). The Enterprise plan is designed for big businesses, and its price is tailored to the demands of the large firm. So far, it has collaborated with over 2500 organizations to deliver staff training, including Google, Microsoft, and eBay, to mention a few.

Codecademy provides two types of company plans: Teams and Enterprise. Its Teams strategy calls for fewer seats (between 5-25), while the Enterprise package is tailored to companies with 25 or more employees.

DataCamp Vs. Codecademy: Which Is Best?

After this lengthy and thorough comparison, you should be able to choose which platform is ideal for you. To summarize DataCamp vs. Codecademy, DataCamp appears to be the superior alternative. There are only two significant disadvantages: lack of communication towards instructors and fewer free courses available. However, the number of specific courses and generous price plans can compensate for them. Overall, it is ideal for individual learning and enterprises and can assist you in advancing your desired data-related career.