Online courses directory (19947)

The Dalai Lama of Tibet dicusses....

Pink walks us through many important secrets to great speech writing and effective public speaking.

Find out how to become comfortable on the dance floor, have fun and not look silly! For men only!

Learn to dance the Charleston! Improve body movement, rhythm, coordination, get fit and have a load of FUN!

This course introduces students to the art and formal ideologies of contemporary dance. We explore the aesthetic and technical underpinnings of contemporary dance composition. Basic compositional techniques are discussed and practiced, with an emphasis on principles such as weight, space, time, effort, and shape. Principles of musicality are considered and developed by each student. Working with each other as the raw material of the dance, students develop short compositions that reveal their understanding of basic techniques. Hopefully, students come to understand a range of compositional possibilities available to artists who work with the medium of the human body.

The course is an introduction to Dante and his cultural milieu through a critical reading of the Divine Comedy and selected minor works (Vita nuova, Convivio, De vulgari eloquentia, Epistle to Cangrande). An analysis of Dante's autobiography, the Vita nuova, establishes the poetic and political circumstances of the Comedy's composition. Readings of Inferno, Purgatory and Paradise seek to situate Dante's work within the intellectual and social context of the late Middle Ages, with special attention paid to political, philosophical and theological concerns. Topics in the Divine Comedy explored over the course of the semester include the relationship between ethics and aesthetics; love and knowledge; and exile and history.

"Light will be thrown..." With these modest words, Charles Darwin launched a sweeping new theory of li

Learn entrepreneurship and thought leadership from professors at the University of Virginia's Darden School of Business

From Fortune 500 CEOs, to the world's top business journalists, to Hollywood's hot young producers, our visiti

There is something out there in space, something invisible we have a hard time to understand. But we can be certain of one thing: It played a major role in the formation of our and any other galaxy!

Humans are social animals; social demands, both cooperative and competitive, structure our development, our brain and our mind. This course covers social development, social behaviour, social cognition and social neuroscience, in both human and non-human social animals. Topics include altruism, empathy, communication, theory of mind, aggression, power, groups, mating, and morality. Methods include evolutionary biology, neuroscience, cognitive science, social psychology and anthropology.

Humans are social animals; social demands, both cooperative and competitive, structure our development, our brain and our mind. This course covers social development, social behaviour, social cognition and social neuroscience, in both human and non-human social animals. Topics include altruism, empathy, communication, theory of mind, aggression, power, groups, mating, and morality. Methods include evolutionary biology, neuroscience, cognitive science, social psychology and anthropology.

Run a Business by the Numbers, Improve it Constantly and Project What Will Happen to be Ahead of the Competition

Learn to put people and processes on autopilot to give managers leverage and time to work "on", not just "in" the biz.

Most failure happens due to poor implementation process and understanding. This course lays out the process and pitfalls

Learn about the most effective data analysis methods to solve problems and achieve insight.

The Coursera course, Data Analysis and Statistical Inference has been revised and is now offered as part of Coursera Specialization “Statistics with R”. This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

Want to study for an MBA but unsure of the basic data analysis still required? This online course prepares you for studying in an MBA program.

Data analysis appears throughout any rigorous MBA program and in today’s business environment understanding the fundamentals of collecting, presenting, describing and making inferences from data sets is essential for success.

The goal of this course is to teach you fundamental data analysis skills so you are prepared for your MBA study and able to focus your efforts on core MBA curriculum, rather than continually playing catch-up with the underlying statistical knowledge needed.

We also hope that learning these data analysis skills will equip you with the ability to understand, to a greater degree, the data you encounter in your working lives and in the world around you - an essential life-skill in today’s data driven environment

This course assumes no prior knowledge of data analysis. Concepts are explained as clearly as possible and regular activities give you the opportunity to practice your skills and improve your confidence.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.

To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal.

This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, we will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.

This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively, but it is challenging. Students who are uncomfortable with basic calculus and algebra might struggle with the pace of the class.