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List of MOOCs offered by the Best Universities and Entities

 

 


 

Upcoming courses (for the next 30 days)

Jan 30th 2017

You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more obvious applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision or finding dense clusters in the advertiser-search query graphs at search engines. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements, call routing in telecommunications and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them approximately in a reasonable time. We finish with some applications to Big Data and Machine Learning which are heavy on algorithms right now.

Average: 6.4 (14 votes)
Jan 30th 2017

Advance your strategic analysis skills in this follow-up to Foundations of Business Strategy. In this course, you'll learn the tools to analyze strategy across time (competitive dynamics), industries ( corporate strategy), geographies (international strategy), and institutions (non-market strategy).

Average: 5.8 (5 votes)
Jan 30th 2017

Discover the content marketing and social media ecosystems and how these interconnected channels drive search results to a website. Leverage content marketing and social media as part of your SEO strategy, and how to use influence marketing to establish a website’s authority.

Average: 1 (3 votes)
Jan 30th 2017

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

Average: 6.3 (12 votes)
Jan 30th 2017

This course will help you ‘up’ your game and develop the advanced level skills and techniques that elude even some of the most experienced virtual teachers.

Average: 3 (3 votes)
Jan 30th 2017

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective.

Average: 8 (1 vote)
Jan 30th 2017

This course focuses on technical, mobile and social strategies for increasing site traffic. Learn how to build SEO for international audiences through content localization, global team alignment and optimizing for local search engines. Discover techniques to optimize mobile-friendly websites, get mobile apps discovered, and leverage social media to drive organic SEO traffic. You will also learn how to identify key SEO metrics and collect, interpret, validate, and report success to your clients and stakeholders.

Average: 9.7 (3 votes)
Jan 30th 2017

It used to be the case that everyone viewed webpages on about the same size screen. But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed. People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer). This ability to respond to any platform is called responsive design.

Average: 8 (3 votes)
Jan 30th 2017

This course provides an overview of Thomas Jefferson's work and perspectives presented by the University of Virginia in partnership with Thomas Jefferson’s Monticello. Together, UVA and Monticello are recognized internationally as a UNESCO World Heritage Site.

Average: 5.5 (2 votes)
Jan 30th 2017

This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.

Average: 5.7 (3 votes)

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