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Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab. 
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Massachusetts Institute of Technology offers free online courses and MOOCs in a variety of subjects. They have got a new look for 2017 and hope the new design will make it easier to stay connected to MITx. The have nearly 50 MOOCs starting this Spring and hope everybody will join!
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Learn the basic science needed for humans to survive on Mars, with this free online science course.
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When intrinsic and innate immunity can not prevent an epidemic an infection, who you gonna name? Adaptive immunity, within the type of antibodies and T cells. On this lecture we read about how the innate immune gadget requires lend a hand, how antibodies and T cells are made, and the way they save you and get to the bottom of virus infections.
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![MIT 5.60 Thermodynamics & Kinetics, Spring 2008 [36 VIDEO Lectures] | University-Lectures-Online | Scoop.it](https://img.scoop.it/2TXocSIxdF8Z4p9jD2IfWzl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
This subject deals primarily with equilibrium properties of macroscopic systems, basic thermodynamics, chemical equilibrium of reactions in gas and solution phase, and rates of chemical reactions.
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The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings (see figure). If you already have the skill set to enter the world’s sexiest profession, it’s a great time to be alive. For those with enough money and expendable time, there’s always the option to go back to school. But for the rest of us, hope is not lost; thanks the rise of the internet, we can begin exploring data science from the comfort of our own homes, and for a fraction of the cost of academia or retraining. Obviously, we’re not saying the options on this list can replace a formal education- but for those looking to expand (or even just begin working on) their big data skillset, they’re a great place to start.
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The recent emergence of Massive Open Online Courses, commonly known as MOOCs, is revolutionizing the online education world and is having a profound impact on higher education. With the growing adoption of MOOCs, the number of MOOC providers has also increased many folds. Below is a comprehensive and up-to-date list of MOOC providers; might be helpful to all interested.
Usein González's curator insight,
January 14, 2014 9:51 PM
Una de las nuevas metodologías de aprendizaje colaborativo está tomando fuerza a nivel mundial mi experiencia en estos cursos son muy didacticos, excelentes videos de apoyo y bien documentados.
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Discover 800 Massive Open Online Courses (MOOCs) from great universities. Most offer “certificates” or “statements of completion,” though typically not university credit. (See the key below to understand the credentials offered by each course, and see our MOOC FAQ if you have general questions.) Courses are arranged by start date, while evergreen courses, which can begin whenever you wish, are found at the bottom.
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List of Udacity free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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Proving that they are still the leader in offering massive open online courses (MOOCs), Coursera has released a beautiful native iPad app that provides access for learners on the move. The internet continues to change education and freely available MOOCs are just one example of a thriving open community. Coursera is not alone but is [...]
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Learn what they didn't teach you at school about DNA. Explore GMO, cancer therapy, mutation and diseases. Compare experiments and theories. Enrol for free!
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Coursera has announced that 12 universities — including three international institutions — will be joining Princeton University, Stanford University, University of Michigan, and University of Pennsylvania in offering Coursera classes, according to the Coursera Blog. On Coursera, you will now be able to access world-class courses from:
You’ll be able to choose from more than 100 courses, from Professor Dan Ariely’s course on irrational behavior, to learning how to program in Scala (taught from the creator of Scala, Professor Martin Odersky from EPFL), to the legendary UVA course “How Things Work” with Professor Louis Bloomfield. You can check out the most current course list here — keep in mind you can enroll in a class even if the start date is TBA. To date, 700,000 students from 190 countries have participated in classes on Coursera, with more than 1.55 million course enrollments total.
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Eager to get answers quickly that are trapped in your Big Data? Let Cloudera and Karmasphere show you how to go from cluster install to query results in 60 minutes or less. Learn how to remove the complexity of accessing, assembling and analyzing Big Data quickly. This webinar will demonstrate how to derive Big Data insights from social media and relational data and will be followed by a question and answer session.
This webinar was designed for professional data analysts interested in quickly generating Big Data insights by combining social media and relational data.
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These videos are part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120.
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For the past ten years, we’ve been busy rummaging around the internet and adding courses to an ever-growing list of Free Online Courses, which now features 1,200+ courses from top universities.
Let’s give you the quick overview: The list lets you download audio & video lectures from schools like Stanford, Yale, MIT, Oxfordand Harvard. Generally, the courses can be accessed via YouTube, iTunes or university web sites, and you can listen to the lectures anytime, anywhere, on your computer or smart phone. We haven’t done a precise calculation, but there’s about 40,000 hours of free audio & video lectures here. Enough to keep you busy for a very long time.
Right now you’ll find 146 free philosophy courses, 88 free history courses, 125 free computer science courses, 78 free physics courses and 55 Free Literature Courses in the collection, and that’s just beginning to scratch the surface. You can peruse sections covering Astronomy, Biology, Business, Chemistry, Economics,Engineering, Math, Political Science, Psychology and Religion.
AvizorMedia's curator insight,
November 13, 2016 2:29 PM
Información de Interés: cursos gratis en Universidades con audios y vídeos
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Advising Atlas's curator insight,
August 30, 2017 11:25 PM
A bird’s eye view of undergraduate mathematics and a glimpse of wider horizons, number theory, and algebra, increase breadth and depth, but also cohesion, by connecting topics that were previously strangers to each other, such as projective geometry and finite groups, and analysis and combinatorics.
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![Deep Learning and Neural Networks [ITP-NYU 2016 Video Lectures] | University-Lectures-Online | Scoop.it](https://img.scoop.it/Id964ULMFB0gHWLIxTJtEjl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform. By contrast, in a neural network we don't tell the computer how to solve our problem. Instead, it learns from observational data, figuring out its own solution to the problem at hand.
Automatically learning from data sounds promising. However, until 2006 we didn't know how to train neural networks to surpass more traditional approaches, except for a few specialized problems. What changed in 2006 was the discovery of techniques for learning in so-called deep neural networks. These techniques are now known as deep learning. They've been developed further, and today deep neural networks and deep learning achieve outstanding performance on many important problems in computer vision, speech recognition, and natural language processing. They're being deployed on a large scale by companies such as Google, Microsoft, and Facebook.
The purpose of these lectures is to help you master the core concepts of neural networks, including modern techniques for deep learning. After listening to these lectures you will have a good understanding of neural networks and deep learning to solve complex pattern recognition problems. And you will have a foundation to use neural networks and deep learning to attack problems of your own interest.
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This section contains video recordings of the class lectures from Fall 2014.
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100 Incredible Science Lectures For The Flipped Classroom...
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Missed lectures or hate teachers? Or want to study computer science courses without going to university? … You can study anytime anywhere because there are number of free online computer science courses available on internet that are very interactive.
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List of EdX free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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List of Coursera free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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Academic Earth
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A comprehensive listing of online Computer Science lectures and courses available on the internet.
In its purest form, computer science is the research and development of technology that solves specific problems. Computer science has brought the world smart phones, GPS systems, the gaming industry and tablet computing, along with technological developments that assist government, industry and medicine. In addition to creating new technology, computer scientists also make improvements to existing technology and study the ways computers can make our lives easier.
As with any branch of science, computer scientists perform research that establishes new information. This research begins with known mathematical algorithms and computer theory, and strives to constantly redefine what technology can do for us. Computer science also addresses how existing technology can be used in ways previously undiscovered, creating applications that may be faster, simpler, more efficient or less costly. Via Dr. Susan Bainbridge
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