Datacamp vs Coursera 2022: Which is the Best?

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Datacamp vs Coursera are both online learning platforms that offer courses in various subjects, from computer programming to business.

They both have their pros and cons, so it can be hard to decide which one is right for you.

In this article, we’ll compare Datacamp and Coursera in terms of price, course variety, ease of use, and more.

What does Datacamp offer?

Datacamp offers a variety of courses in different programming languages, as well as courses on topics such as data science and machine learning.

datacamp - free

The platform has an interactive interface that makes it easy to follow the lessons, and there is a forum where you can ask questions and get help from other students.

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What does Coursera offer?

Coursera offers courses from a variety of universities and colleges, as well as professional development courses.

Coursera - Build Skills with Online Courses from Top Institutions

The courses are usually more comprehensive than those offered on Datacamp, and they often include assignments and exams. Courses can be taken at your own pace, or you can choose to take them on a set schedule.

So, which one should you choose?

It depends on your needs and goals. If you want to learn programming languages or brush up on your skills, then Datacamp is a good option.

However, if you want to get a comprehensive education in data science or machine learning, then Coursera is a better choice.

Topics And Languages Taught

Both platforms teach a variety of programming languages, such as Python, R, and SQL.

However, Coursera also offers courses in other areas, such as business and marketing. Datacamp focuses mainly on data science and machine learning.

Datacamp vs Coursera: Course Length

Datacamp vs Coursera

Datacamp’s courses are shorter than Coursera’s.

Most Datacamp courses are around 10 hours long, while the average Coursera course is around 20 hours long. If you have less time to commit to learning, Datacamp may be a better option for you.

Coursera Course Length is longer than Datacamp, but this is because Coursera courses include more in-depth content.

If you have the time to commit to learning, Coursera may be a better choice for you.

Structure

Datacamp’s courses are interactive and easy to follow.

Each lesson includes a video, followed by exercises that you can do on your own computer. There is also a forum where you can ask questions and get help from other students.

Coursera’s courses are more comprehensive than Datacamp, and they often include assignments and exams. Courses can be taken at your own pace, or you can choose to take them on a set schedule.

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Datacamp vs Coursera: Pricing

Datacamp’s courses are free to try, and you can pay for a monthly subscription if you want to continue learning.

The monthly subscription costs $19/month, or you can pay for a yearly subscription and get two months free.

Coursera offers both free and paid courses. Paid courses range in price from $29-$99.

Datacamp vs Coursera: Pros & Cons

Datacamp Pros:

  • Interactive interface
  • Courses are shorter
  • Free to try

Datacamp Cons:

  • Less comprehensive than Coursera
  • No set schedule for courses

Coursera Pros:

  • More comprehensive courses
  • Can be taken at your own pace
  • Offers a variety of courses, not just programming languages

Coursera Cons:

  • Course length can be daunting
  • Paid courses can be expensive

Projects

Both Datacamp and Coursera offer projects that you can use to practice your skills.

Datacamp’s projects are designed to be completed in 2-3 hours, while Coursera’s projects can take up to 10 hours to complete.

Community

Datacamp has a community forum where you can ask questions and get help from other students. Datacamp also has a blog that features articles on data science and programming. 

Coursera also has a community forum, as well as a social media presence on Facebook, Twitter, and LinkedIn.

Ease of Use

Datacamp’s courses are easy to follow and interactive. The platform is designed for self-paced learning, and you can start and stop courses at any time.

Coursera’s courses are more comprehensive than Datacamp, but they can be taken at your own pace.

The platform is also designed for self-paced learning, but you may need to commit more time to each course.

Job Placement

Datacamp does not offer job placement services.

Coursera offers a Job Placement program that helps you find a job after completing one of their courses. The program includes access to a job board, as well as career counseling and coaching.

Datacamp vs Coursera: Certification

Both Datacamp and Coursera offer certification for their courses. Datacamp offers a certificate of completion for all of its courses, and you can add your certificate to your LinkedIn profile.

Coursera offers a variety of certificates, depending on the course that you take. Certificates include the option to share your accomplishment with others on LinkedIn, Facebook, and Twitter.

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Datacamp vs Coursera: Overall

Coursera is a more comprehensive option than Datacamp, and it offers a variety of courses in addition to programming languages

. The courses can be taken at your own pace, and there is a Job Guarantee program available.

Datacamp is a good option if you want to focus on one specific topic, such as data science or R programming.

The courses are interactive and shorter in length than Coursera’s courses. There is no job placement or certification available through Datacamp.

So, what’s the verdict?

In conclusion, both Datacamp and Coursera offer great resources for learning data science and programming.

Coursera is the better option if you want to learn a variety of topics, while Datacamp is better if you want to focus on one specific topic.

Datacamp does not offer job placement or certification services, while Coursera offers both of these services.

Finnich Vessal

Finnich Vessal is an experienced affiliate marketer, he has been in the affiliate industry for the past 5 years and living his dreams online. Spending a larger part of his life researching on making money online through affiliate marketing and multi-level marketing systems. Now, he’s involved in creating a colossal catalog of his life-long research, intertwined with the glimpses of his day-to-day experience. Finnich is an active investor in other projects such as: GizmoBase, Newsmartwave, Imagestation, DigiExe Blog, and Expert Hoot.

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