Coursera vs. DataCamp

The Coursera platform can be a useful part of your overall learning content portfolio if utilized correctly. It's fantastic for asynchronous courses that don't necessarily need a dedicated faculty member (though I'd highly recommend at least having some discussion moderators/student workers) and for offering MOOCs. The ability for the learners to contribute translations really makes it ideal for the international learning community - I am always amazed to see a course we launched with 2-3 languages to quickly have 10-12 more added. This feature really helps expand the audience reach and Coursera has such a large following already that it can grow seemingly overnight.

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Mentoring through subject matter expert which gives proper information from the initial stages. During learning it's providing virtual platform for the practical training of the softwares. No material is providing for future reference No free courses.

• Interaction: the student learns by doing. For programming courses, this means programming!
• Assessments: the courses I'd taken ask students to grade each others work with a rubric. This is hugely effective and permits tests and quizzes to be other than multiple choice.
• Creativity and enthusiasm of the instructors. Some of the approaches demonstrated real out-of-the-box thinking by the instructors. For example, the Rice Python course was a self-contained website requiring no installation of IDE on one's computer, and the final project was a working version of Asteroids.
• Low cost of entry: most of the course I enrolled in were free, with an optional fee for certifications. This really gives people the freedom to explore learning. It's almost like a Public Library of Learning.
• Coursera forces a weekly discipline on the user with lectures and assignments and this really motivates one to put in the effort.

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• Datacamp is one of the great tools for learning all the data science concepts in one place.
• Courses and career paths are designed exceptionally and the content developed in each course is of high quality.
• Projects available on datacamp tests your gained knowledge through courses.

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• Some of the courses (very few) have some old information (more than 2 years), and in some areas like technology the information has to be very new and updated.
• Some professors or people doing videos are not good in front of the camera, they should train their people a little bit more for those things.

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• They should add more description about the course they offer
• the title page looks too crowdy and less attractive , they can make it more appealing

Constantly renewing already. One of my favourite MOOC platforms.

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User-friendly and developer-friendly Web UI.

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It's important tool who wants to learn data analytics like Python, SQl etc. Also help to make clear the the concept for non technical persons. Simultaneously training with realtime software is best feature in the website. Also helping to uplift your carrier growth

I’ve used it a couple of times and... that did great. They take their time, but in the end they solve your issues.

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Coursera is familiar, intuitive, compatible and easy to use and implement.

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I think Coursera has the best overall interface. I think you will find that different platforms go in different directions, and have different specialities. For the most part the differences are more in the types of courses they offer than one being particularly better than the other, so it comes down to content for me.

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Easy, efficient, and more productive

• The greatest benefit of Coursera is access to quality courses on various subjects that you can either browse or dive in deeply. Customizable, flexible and accessible.
• Helps our department to recommend trainees courses on this website and gain important knowledge. Also, the courses are provided by big-name universities which helps students in their careers
• Developing and exploring professional skills.

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• It helps for upskilling employee skills.
• Research & developement training is improved.
• Helps the employees to perform better.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info