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Udemy vs DataCamp

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Udemy offers thousands of courses designed to teach tech skills in everything from programming and data science to AI and cloud computing. DataCamp, while providing a selection of course offerings, is focused on computer science-specific career tracks using Python, R, and SQL programming languages. Both organizations are entirely online. Udemy has individual courses varying in content, level, length, and cost. Users pay for each course but can access their completed materials forever. DataCamp has multiple course options, but still provides a clear curriculum that can be accessed with a monthly paid subscription. DataCamp users do not have access to completed course materials once a subscription ends.

Udemy DataCamp
Overall Rating
Courses Everything, +-6 more.
Intro to Python for Data Science, Introduction to R, +-5 more.
Introduction to R
Cost $99 Free
Location(s) Online Online

What is Udemy?

Udemy has thousands of online courses that can be completed around a student's busy schedule. Participants can find classes in a large range of subjects, including design, photography, and marketing. For those interested in programming, they offer classes for programming languages, app and web development, data science, cybersecurity, UX/UI design, and many other tech industry skills. Courses are instructed by industry professionals from around the world, with classes offered in over 65 languages. Interested individuals can find courses that match any skill level. Udemy has offices in several countries, including in India, Turkey, Brazil, Ireland, and the United States.

Highlights: Most content includes videos and practice activities and can be accessed from mobile devices and laptops. Classes are available on-demand with no mandatory start dates.

Financing/scholarship options: There are free classes available, as well as a range of affordably-priced courses. Individuals can get a full refund up to 30 days after enrolling in a course.

What makes Udemy unique?

Members have access to Udemy's Help Center and support team. Udemy has a lifetime access program, and every completed, paid course includes a certificate of completion. Even after course completion, students maintain access to course materials.

Go to Udemy's full page

What is DataCamp?

DataCamp has headquarters in New York, London, and Leuven, although beginner and advanced programmers can access courses and content from anywhere in the world through DataCamp's online program options. With hundreds of individual courses available, people can develop a curriculum that matches their experience and career goals.

Highlights: Students may enroll in individual courses, a short-term specialized skill track, or a full career path program. Career paths include all the skills necessary to pursue a career in tech, combining basic and advanced coursework. Career tracks include Python Programmer, Data Analyst, Data Scientist, Quantitative Analyst, Statistician, and more. Each career-based program includes between 11-29 courses depending on the track.

Financing/scholarship options: Students pay a monthly subscription for support and content. New users can access a free version that includes a sample chapter from each course, hands-on projects, all coding challenges, and one skill assessment.

What makes DataCamp unique?

Datacamp's skill assessment tool, Signal, is an adaptive evaluation that informs a personalized learning plan for each student. Classwork includes a mix of video tutorials and hands-on practice, including case studies and daily interactive challenges.

Go to DataCamp's full page

Udemy Reviews

  • Dinesh S
  • Everything
  • Graduated: 2020



Job Support

"Udemy Data Engineering Course"

Excellent.. Initially thought how come they teach industry standard / real time projects.. But after joining the course, I am with Udemy. Yes!!, teaching not only concepts and technical terms. Teaching the industry best practice to write code, documentation,... Read More

  • Derrick | Data Analyst
  • Everything
  • Graduated: 2018



Job Support

"Udemy is great"

Done several courses on Udemy and they are great. The facilitators have in depth knowledge of their subjects

DataCamp Reviews

  • Ridhvik Rohan Oruganti
  • Intro to Python for Data Science
  • Graduated: 2020



Job Support

"@Simplilearn strikes your career----->"SUCCESS""

Learning this course eventually made me improved my coding skills and the tutor explained each and every point in detail by giving various examples. Overall learning the course 'DATA SCIENCE WITH PYTHON" gained my knowledge and the certification adds... Read More

  • Izabela Adamska | Test Lead
  • Intro to Python for Data Science
  • Graduated: 2020



Job Support

"A ton of material, great guidance, great progress"

I love this courses, I feel like to learn something, I need to go throught the material couple times, there are many levels of understanding material and I feel that I'm taking another step. To be honest, I am learning new stuff(or something I was studying... Read More

This form of short video and excersice with slides is just great, because I see somenthing some short theory and I can try this in code, something I've missed at my university of technology - theory often hasn't gone hand in hand with practice or was too hard to understand and do something on my own without looking for answers.

Another thing is that I have two kids and I'm detached from the computer sometimes many times in every hour, I have a lot of duties at home, but thanks to the form of the course, I get the thread again very quickly and know what to do, I have slides, I have content for the exercise, I can go back to the video. Thanks to all of this I have no problem with just sit and do some practice because even if I need to take a break I did one or two excersice, it's just great I'm moving forward even sometimes with small steps but still.

I have read other opinions and I have to mention that I don't understand the problem of copying the code or building a portfolio - to copy just ctrl+c, to build a portfolio it is enough to understand the material and do it, isn't building a portfolio also about putting even the smallest effort into the process? Especially if practically every line of code is described and explained, as well as the whole context.
(my review is about the whole DataCamp courses)

Person thinking

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