Udacity vs Coursera for Data Science: Which is Better for You & Why?

As a data science learner, you might have heard about Udacity and Coursera. Both are popular MOOCs platforms and offer a variety of online Data Science courses. But both Udacity and Coursera have some distinct differences you should know before enrolling.

So if you are not sure which one is better, then read this comparison Udacity vs Coursera for Data Science.

Udacity vs Coursera for Data Science

The major difference between Udacity vs Coursera are-

Price

Udacity- Udacity has Nanodegrees and Free Courses. For Nanodegrees there are two pricing structures, Monthly Payment & Fixed Monthly Payment. This monthly payment cost around $399/month.

Coursera- Coursera offers a 7 Day Free Trial and then you have to pay a subscription amount per month that cost around $39 to $80 (based on the specialization program)

Mode of Learning

Udacity- Most of the Udacity courses are self-paced. That means you can complete the course at your own pace.

Coursera- Coursera also provides self-paced videos with schedule learning.

Learning Material

Udacity- Udacity has Nanodegree programs and Free Online Courses.

Coursera- Coursera provides courses, specialization programs, and online degrees.

Pros & Cons of Udacity

Pros-

1. Udacity provides top-quality content even in the Free courses. This feature makes Udacity Unique from other MOOCs platforms.
2. When you enroll in Udacity Nanodegree program, a one-to-one mentorship is provided by Udacity. This mentor will guide you throughout the program.
3. Udacity has High-quality graded student projects. These projects will provide practical experience in the particular field.
4. Udacity not only provides content but also provides career service. And this career service is included in all Nanodegree programs.

Cons-

1. Udacity Nanodegree programs are a bit expensive as compared to other MOOCs platforms.
2. Udacity doesn’t have any Mobile Applications. So sometimes it’s difficult to study on Udacity’s website on mobile.

Pros & Cons of Coursera

Pros-

1. Well structured courses
2. All Courses are from educational institutions around the world.
3. Widest catalog of courses with a certification by a professional institution like Universities.

Cons-

1. Needs more commitment to the courses.
2. Some of the course content needs an Update.

Who Should Enroll in Udacity?

1. Those who are not Beginners in Data Science and have basic knowledge in Programming and high school level math.
2. And those who are looking for more advanced level data science courses with real-world projects along with mentor support and career services.

Visit Udacity

Who Should Enroll in Coursera?

1. Those who are beginners in data science and want to learn Data Science from a formal university and from experienced instructors from the world’s top universities.

Visit Coursera

I hope this brief comparison between Udacity and Coursera will be helpful for you.

For more in-depth comparison of Udacity and Coursera Click to continue reading...