Learning Online with Coursera

Quick Description

Coursera is a Massive Open Online Courses (MOOCs) platform that aggregates online courses from top universities similar to edX and Udacity. Classes for learning to code are grouped into specializations consisting of several related courses often taken in sequence. Progressive mastery, peer assessments, and, of course, video lectures and quizzes are hallmarks of Coursera’s platform. Certificates are available for those seeking some sort of accreditation.

Visit the website »

Topics Taught

Python

Java

Software Product Management

Big Data

Full Stack Web Development

iOS with Swift

Web Design

Game Design

Algorithms

Cyber Security

Interaction Design

Data Science

There is also plenty of non-technology related course work ranging from Arts & Humanities to Business.

Pricing

Course price

  • A course that lasts about a month costs anywhere from $49 – 79 USD.
  • You can purchase courses individually or you can buy all the courses in a specialization (generally 3-6 courses for a few hundred dollars) at a 10% discount.

Pros and Cons

Pros:

  • The courses are crafted by some of the world’s top universities
  • Specializations include a capstone project and certification
  • Video quality is high
  • It’s a structured learning environment
  • The progressive mastery style of learning is baked into the platform

Cons:

  • Fixed enrollment dates
  • The anonymous peer grading system is said to produce plagiarism and valueless feedback at times
  • The validity of certifications is up for debate

What past students think

Michael Gracie

michaelgracie.com/blog

Likes:

  • In-depth, comprehensive content delivered in consumable chunks
  • Ability to work at your own pace, but with deadlines to force staying on track
  • Understandable grading scales throughout

Dislikes:

  • Sparsely and sometimes unmoderated forums
  • TAs assigned to courses based on volume of communication in previous courses, versus content matter expertise
  • Size of some classes preclude direct questioning with instructors

Recommended for:

I would recommend Coursera [Specializations], particularly in the fields of math, computer science, and other STEM-oriented subjects, to those with self-discipline and a desire to learn new skills simply for the sake of it.

Heng Lim NgHeng_Lim

nghenglim.github.io

Likes:

  • Courses from Stanford university, great content, and the statements of achievement.
  • It’s a MOOC and many courses are free so everyone has the chance to learn.
  • Good UI and the video is smooth.

Dislikes:

  • The user experience on the iPad app is not good
  • There should be a top course ranking for each category
  • The statements of achievement have no external links available

Recommended for:

Anyone that has a desire to improve and to learn. For those especially interested in machine learning the Andrew Ng course is a must.

Patrick GrayPatrick Gray, eid K6317, USAA employee, formal portrait, on blue, MX

GithubTwitter

Likes:

  • The video quality
  • Credentialed professors
  • The courses are fun!

Dislikes:

  • Lack of ability to practice material being learned in some cases
  • Lack of examples to contextualize course content
  • No seamless integration to post proof of completed courses on your Linkedin profile like Lynda.com has

Recommended for:

Cousera is good for people that want to take fun courses from credentialed professors at known institutions.

banner

Tl;dr

In sum, Coursera has high-quality course content that is consciously packaged for progressive mastery. It’s not a perfect resource, as few are, but it has distinguished itself as a top player in the MOOC space.