Datacamp vs Udemy 2022: Which Platform Should You Try?

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Datacamp vs Udemy are both online learning platforms for data science.

Datacamp offers more of a Bootcamp style experience, while Udemy is more like a traditional school with video lectures and quizzes.

Both platforms offer a variety of courses in data science, but there are some key differences. Udemy courses are typically more expensive, but they also have a larger selection of courses.

Datacamp courses are cheaper, but they focus more on teaching you how to use specific tools instead of teaching you the theory behind data science.

What does Datacamp offer?

Datacamp New technology

Datacamp offers a variety of courses in data science, including:

  • R Programming
  • Python for Data Science
  • Data Analysis with Excel

Each course includes video lectures, interactive exercises, and quizzes.

Datacamp offers a Bootcamp style experience, which is an intensive course that teaches you how to use specific tools.

What does Udemy offer?

udemy

Udemy offers a variety of courses in data science, including:

  • Data Science for Business
  • Data Analysis with R
  • Introduction to Data Science

Each course includes video lectures, downloadable resources, and exercises. Udemy also allows you to purchase access to a course forever, or to only have access to the course for a certain amount of time.

DataCamp vs Udemy: Topics And Languages Taught

Datacamp offers courses on the following topics:

  • R Programming
  • Python for Data Science
  • Data Analysis with Excel

Udemy offers courses on the following topics:

  • Introduction to Python for Data Science
  • Data Analysis with R
  • Machine Learning A-Z™ with Python

Course Length

Datacamp courses range from 4 to 8 hours, while Udemy courses can be up to 18 hours long. This can make a big difference if you’re trying to learn a lot of information in a short amount of time.

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Structure

Datacamp courses are structured as follows:

  • Video lectures
  • Interactive exercises
  • Quizzes

Udemy courses are structured as follows:

  • Video lectures
  • Downloadable resources
  • Exercises

Pricing Plans

Datacamp courses range in price from $19 to $49, while Udemy courses can be anywhere from $10 to $200.

This can make a big difference if you’re on a budget. However, it’s important to note that Datacamp offers access to a course for a limited time, while Udemy allows you to purchase access to a course forever.

Udemy courses range in price from $10 to $200.

This can make a big difference if you’re on a budget. However, Udemy offers access to a course for a limited time, while Datacamp allows you to purchase access to a course forever.

Datacamp vs Udemy: Pros & Cons

Datacamp Pros:

  • Cheaper courses
  • Intensive courses that teach you how to use specific tools
  • Courses are shorter, which can be helpful if you’re trying to learn a lot of information in a short amount of time

Datacamp Cons:

  • Courses focus more on teaching you how to use specific tools instead of teaching you the theory behind data science
  • A smaller selection of courses

Udemy Pros:

  • A larger selection of courses
  • Courses are typically more expensive, but you get access to the course forever
  • Courses are longer, which can be helpful if you want a more in-depth learning experience

Udemy Cons:

  • Some courses are not well-reviewed
  • Not all courses offer quizzes or exercises
  • Some courses are not updated regularly

Projects

Datacamp does not offer any projects with their courses.

Udemy offers a variety of projects with its courses. For example, in the Data Science for Business course, you are asked to work on a project where you create a machine learning model to predict housing prices.

In conclusion, Datacamp and Udemy are both great resources for learning data science.

Datacamp is cheaper, but they focus more on teaching you how to use specific tools instead of teaching you the theory behind data science.

Udemy has a larger selection of courses, but they are typically more expensive. They also offer projects with their courses, which can be helpful for practicing what you’ve learned.

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Community

Datacamp has a small, but active community forum.

Udemy has a large, active community forum.

Ease of Use

Datacamp’s courses are easy to use and navigate.

Udemy’s courses can be a bit difficult to use and navigate.

In conclusion, Datacamp is easier to use than Udemy.

Datacamp focuses more on teaching you how to use specific tools, while Udemy offers a variety of projects with their courses. Udemy also has a large, active community forum.

Job Placement

Datacamp does not offer job placement assistance.

Udemy offers job placement assistance through their career services program.

In conclusion, Udemy offers job placement assistance, while Datacamp does not. Udemy has a large, active community forum where you can find jobs and internships.

Certification

Datacamp offers certification for its courses.

Udemy does not offer certification for its courses.

In conclusion, Datacamp offers certification for their courses, while Udemy does not. Certification can be helpful when applying for jobs.

Datacamp vs Udemy: Overall

Datacamp is cheaper, offers shorter courses, and has a smaller selection of courses.

Udemy offers a larger selection of courses, longer courses, projects with their courses, and job placement assistance.

So, what’s the verdict?

Datacamp and Udemy both offer great courses in data science, but they have different strengths.

Datacamp courses are more focused on teaching you how to use specific tools, while Udemy courses are more focused on teaching you the theory behind data science.

Udemy courses are also typically more expensive than Datacamp courses.

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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