E.g., 2016-07-23
E.g., 2016-07-23
E.g., 2016-07-23
No sessions available

Public Health focuses on the health of entire populations, fighting disease on a massive scale.

Average: 5.4 (7 votes)
Aug 30th 2016

This is a course about dementia looking at a broad range of topics including,basic brain anatomy, pathology, dementia research, risk factors, symptoms, diagnosis, medical management, living with dementia, progression and staging, palliation, behaviours and therapeutic approaches.

Average: 9.3 (24 votes)
Aug 2nd 2016

Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the C# driver. In the course, you will build a blogging platform, backed by MongoDB.

Average: 6.2 (5 votes)
Aug 2nd 2016

Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Java driver. In the course, you will build a blogging platform, backed by MongoDB.

Average: 8 (5 votes)
Aug 2nd 2016

Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Node.js driver. In the course, you will build a blogging platform, backed by MongoDB.

Average: 2.8 (9 votes)
Aug 2nd 2016

Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Python driver. We will also cover working in sharded and replicated environments. In the course, you will build a blogging platform, backed by MongoDB. A brief Python introduction is included in the course.

Average: 5.4 (8 votes)
Aug 2nd 2016

Learn everything you need to know to administer a MongoDB installation in production. This course begins by assuming you have no experience with MongoDB, taking you through the basics of installation. Then you will learn about JSON and Mongo's extensive query capabilities through the Mongo shell. We will cover importing, and exporting data into Mongo. After that, we cover replication and fault tolerance. Then it is on to scaling out with MongoDB, including indexing, performance tuning, monitoring, and sharding. Finally, we cover backups and recovery. No prior experience with MongoDB is assumed for this course but a knowledge of administration of another database will be helpful.

Average: 9 (2 votes)
Jul 25th 2016

Have you ever wondered how playing games can help us to train people, deal with societal challenges or raise awareness of contemporary social issues? In this MOOC you will learn the ins and outs of games that are designed with exactly those purposes in mind: serious games. We will define serious games and discuss the different types that have been developed. We will explain why people like to play them and what impact they may have.

No votes yet
Jul 25th 2016

A report from the National Association of Colleges and Employers shows that employers want job candidates with strong communication skills. Similarly, educational success also requires the ability to articulate your thoughts clearly. In this class, we will study the principles of public speaking; critically examine our own and others’ speeches through interactive practice.

Average: 8.3 (3 votes)
Jul 25th 2016

En este curso construirás aplicaciones que logren interactuar con el hardware del dispositivo, con el propósito de crear aplicaciones más interesantes, atractivas y útiles. El hardware del dispositivo incluye aditamentos como bocinas, GPS, acelerómetro, cámara, etc., por lo que las aplicaciones pueden interactuar con este hardware para reproducir música, conocer la posición del dispositivo en el Globo Terráqueo, conocer la aceleración a la que está sujeto el dispositivo debido al movimiento que se realiza con él, o agregar fotografías del usuario a sus aplicaciones.

No votes yet
Jul 25th 2016

According to the U.S. Bureau of Labor Statistics, in the current economy, Americans shift jobs every 4-5 years, which translates into 8-10 job transitions, including several career changes, over one’s life time. With competition for jobs on the rise, a person’s continuing employability and career success are increasingly defined by his or her mastery of individual career development and the ability to effectively "manage oneself" (P. Drucker). In this course, you will learn how to think strategically and professionally about your career self-management. Through this course you'll develop an objective, external view of your marketable skills as a solid foundation for building a strong career brand.

No votes yet
Jul 25th 2016

Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track. Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Average: 7.6 (7 votes)
Jul 25th 2016

In this course, you will engage in developing and strengthening the functional component of your career brand. Acting as “your own Chief Executive Officer” (P. Drucker), you will learn how to use strategic management models and techniques for enhancing your skills portfolio. You will learn how to increase your human capital by developing and documenting high-demand marketable skills.

Average: 7.5 (2 votes)
Jul 25th 2016

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

Average: 7.3 (3 votes)
Jul 25th 2016

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more.

Average: 9.3 (4 votes)
Jul 25th 2016

This course examines how the idea of "the modern" develops at the end of the 18th century in European philosophy and literature, and how being modern (or progressive, or hip) became one of the crucial criteria for understanding and evaluating cultural change.

No votes yet
Jul 25th 2016

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.

Average: 8 (1 vote)
Jul 25th 2016

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.

Average: 10 (1 vote)
Jul 25th 2016

Sports play a giant role in contemporary society worldwide. But few of us pause to think about the larger questions of money, politics, race, sex, culture, and commercialization that surround sports everywhere. This course draws on the tools of anthropology, sociology, history, and other disciplines to give you new perspectives on the games we watch and play.

Average: 10 (2 votes)
Jul 25th 2016

This course examines how the idea of "the modern" develops at the end of the 18th century in European philosophy and literature, and how being modern (or progressive, or hip) became one of the crucial criteria for understanding and evaluating cultural change. Are we still in modernity, or have we moved beyond the modern to the postmodern?

Average: 2.6 (5 votes)

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