What is a MOOC?: MOOC is a free study course intended to be studied online by large numbers of students. Moreover to the usual course materials such as video lectures, reading material, coursework and tests, MOOC Courses provide forums that help students build an online community.
Learn about MOOCs Courses USA and the MOOC market trends in the United States. Universities and other institutions worldwide partner with external providers, the largest including United Stated-based Edx, Coursera, Udemy, and Udacity. Some providers specialize in particular areas of study. Now Here is Information about MOOC Courses USA and List of Courses, Edx, Coursera, Free Online Courses, Eligibility Criteria, Certificates, Cost, Syllabus List, Registration, etc.
Information About MOOC Courses
MOOCs, or Massive Open Online Courses are college courses delivered through an online platform. MOOC Courses could be the ideal solution for students interested to pursue higher education but cannot attend full-time university or college courses. MOOCs are a recent development in distance education. MOOC Course is designed for open access and unlimited participation via the internet, MOOC providers offer real college/university courses from Existent schools to students all over the world.
Massive Open Online Courses is the Full Form of MOOC. It Means
- Massive is that any number of students can partake in these courses.
- MOOCS are Open Courses
- The Online aspect of MOOC has been a defining factor in their success and growing popularity.
- These Courses are publicly open to those who signup.
The MOOC market has been divided into 2 formats: They are
- cMOOC
- xMOOC
1. The cMOOC: Connectivity MOOCs which focuses on the connectivist philosophy and is a social platform for collectively sharing and building knowledge within a community of people. These are based on the idea that the knowledge is in the network, and that one person doesn’t need to know everything, but needs to know the person who knows to get access to the information when appropriate
2. The xMOOC: Content-based MOOCs relies on a more traditional model of education, based on lectures recorded in videos, and usually is well-financed. xMOOCs have enjoyed a lot of press coverage, and are what the general public associates with the terms Massive Open Online Course
Requirements:
MOOCs do not always lead to formal qualifications. There are no entry requirements.
MOOC Providers
There are hundreds of MOOC providers and thousands of courses, all with varying offerings and requirements, The top 3 providers are:
- Coursera
- EdX
- Udacity
These provides almost 700 online education courses to over 8.5 million students from more than 225 countries and territories
Coursera:
Founded in 2012, Coursera partners with Princeton, Stanford University, the University of Pennsylvania, and the University of Michigan. And now features partnerships with top universities and educational institutions worldwide. Coursera has newly launched 2 Master’s degrees in Accounting and Entrepreneurship.
According to Coursera Data:
- 75% of MOOC students hold at least a bachelor’s degree
- 73% of users are in full-time employment and
- The average age of users is between 25 and 35.
MOOC Student Population
- Brazil makes up 5.8% of Coursera enrolments
- India provides 5.3%
- China 4.1%,
All ahead of percentages of users from the
- UK (4%)
- Canada (4.1%)
- Russia (2.4%)
- Germany (1.7%)
- Spain (1.6%) and
- Australia (1.6%).
Udacity
Udacity is a for-profit educational organization provide online tech courses which are built in partnership with technology leaders and are relevant to industry needs. Udacity even offers an accredited, online Master’s Degree in Computer Science in partnership with Georgia Tech
EdX
EdX is a non-profit online enterprise was Started by MIT (Massachusetts Institute of Technology) & Harvard University to host online university-level courses in a wide range of disciplines from many schools. The edX platform offered 1,386 courses and 76 programs. Their programs include university-credit programs and MicroMasters.
Now institutions such as Stanford University as well as many others, such as
- Georgia Institute of Technology
- University of California
- Berkeley
- University of California
- University of Florida
- University of Pennsylvania
- University of Washington
- Georgetown University
- Rice University, and
- Indiana University, are creating courses to supplement their on-site school curriculum.
What are best MOOC platform for Computer Science Courses?
- Introduction to Computer Science by David J. Malan (CS50x, Harvard University)
Platform: Edx
- Computer Graphics by Ravi Ramamoorthy (University of California, San Diego)
Platform: edX
- Programming for Everybody (Getting Started with Python) from “Learn Program and Analyze Data With Python” specialization by Charles Severance (University of Michigan)
Platform: Coursera
- Cryptography 1 by Dan Boneh (Stanford University)
Platform: Coursera
- Introduction to HTML5 and Introduction to CSS3 from “Learn to Design and Create Specialization” by Colleen Van Lent (2 courses) ( University of Michigan)
Platform: Coursera
- “Machine Learning” by Andrew Ng ( Stanford University)
Platform: Coursera
- “Data Structures” from “Data Structures and Algorithms” specialization by UCSD
Platform: Coursera
- “Introduction to Logic” by Michael Genesereth (Stanford University)
Platform: Coursera
- “Human-Centered Design: An Introduction” in Interactive Design specialization by UCSD
Platform: Coursera
- Developing Android Apps by Google
Platform: Udacity
Top 10 Best Data Science MOOCs
| Data Science MOOCs | Level | Effort | Status | Duration |
| The Analytics Edge (MIT) | Beginners-Expert | 10-15 hrs/week
| Archived | 12 weeks
|
| Machine Learning (Stanford University) | Beginners-Expert | 7-12 hrs/week | On-demand | 11 weeks
|
| Data Science and Machine Learning Essentials (Microsoft) | Beginners-Intermediate | 3-4 hrs/week | ——- | 5 weeks |
| Databases (Stanford University) | Beginners | 8-10 hrs/week | Self-paced | 10 weeks |
| Coding the Matrix: Linear Algebra through Computer Science Applications (Brown University) | Beginner-Intermediate | 10-14 hrs/week | Archived | 10 weeks
|
| Learning From Data (California Institute of Technology) | Intermediate-Expert | 10-14 hrs/week
| Archived | 10 weeks
|
| Introduction to Data Science (University of Washington) | Beginner-Intermediate | 10-14 hrs/week
| Archived | 10 weeks
|
| Text Mining and Analytics (University of Illinois at Urbana-Champaign) | Intermediate-Expert | 5-10 hrs/week | Archived | 5 weeks
|
| Convex Optimization (Stanford University) | Intermediate-Expert | 8-10 hrs/week | Archived | 10 weeks
|