A Complete List of Free Online Courses and MOOCs!

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Aug 21st 2017

Get the tools you need to analyze, evaluate and recommend specific actions organizations can take to grow their value and avoid common growth pitfalls. Learn to determine how best to build value, whether by scaling existing markets, entering established markets or creating new markets through innovation and acquisitions. Apply these concepts in case studies of industry leaders JetBlue, Starbucks, Intel Corporate Venturing and Tata Motors.

Average: 5.8 (5 votes)
Aug 21st 2017

This course, the first in the "Interviewing and Resume Writing in English" specialization, guides you to discover the interests, talents and competencies that you can use to find and do work that leverages your strengths, passions and who you are as a person, so you can start doing work that matters to you and to the world. Whether you already have a career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, whether you’re coming back into the world of work after some time away – this course will help you see your path more clearly and will teach you how to communicate your value to an employer in a way that he or she can immediately recognize.

Average: 7.7 (3 votes)
Aug 21st 2017

Do you want to learn how to plan affordable and context-specific sanitation solutions? Do you want to be updated on the newest developments in urban sanitation planning and programming? Do you want to get insights about best practices examples of urban sanitation systems in low- and middle-income countries? If yes, this course is for you!

Average: 6 (3 votes)

Aug 22nd 2017

This course will provide an introduction and history of cellular communication systems that have changed our lives during the recent four decades and will become an essential and inseparable part of human life. The principles of wireless communication theory are covered with emphasis on the essential concept delivery to non-major learners in the easiest way.

Average: 5 (2 votes)
Aug 21st 2017

Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules. Take Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.

Average: 9.2 (6 votes)
Sep 4th 2017

En suivant ce MOOC, vous serez en capacité de comprendre et d’appliquer les formules utilisées dans les codes de calculs de structure. Vous pourrez aussi dimensionner des éléments simples travaillant dans le domaine élastique.

Average: 6.3 (4 votes)

Aug 21st 2017

Not all programs are created equal. In this course, we'll focus on writing quality code that runs correctly and efficiently. We'll design, code and validate our programs and learn how to compare programs that are addressing the same task.

Average: 7 (1 vote)
Aug 21st 2017

In this course, learners will become familiar with principles and theories of global health problems, and major challenges and controversies in improving global population health as well as practical applications of quantitative methods to analyze and interpret issues and challenges for policy. Topics will include health and foreign policy, health governance, acute disease surveillance, non-communicable diseases, burden of disease, universal health coverage, health systems strengthening, health financing, and human resources for health and ageing.

Average: 7.5 (2 votes)
Sep 11th 2017

Ce cours permet d’apprendre la statistique à l’aide du logiciel libre R. Le recours aux mathématiques est minimal. L’objectif est de savoir analyser des données, de comprendre ce que l’on fait, et de pouvoir communiquer ses résultats.

Average: 8.5 (2 votes)
Sep 17th 2017

Toutes les clés pour décider si oui ou non vous devez vous lancer dans l'entrepreneuriat et comment faire au mieux pour réussir.

Average: 6.2 (10 votes)
Aug 21st 2017

In business, data and algorithms create economic value when they reduce uncertainty about financially important outcomes. This course teaches the concepts and mathematical methods behind the most powerful and universal metrics used by Data Scientists to evaluate the uncertainty-reduction – or information gain - predictive models provide. We focus on the two most common types of predictive model - binary classification and linear regression - and you will learn metrics to quantify for yourself the exact reduction in uncertainty each can offer. These metrics are applicable to any form of model that uses new information to improve predictions cast in the form of a known probability distribution – the standard way of representing forecasts in data science.

Average: 7.6 (7 votes)

Aug 21st 2017

Case Study - Predicting Housing Prices
In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets.

Average: 7.4 (5 votes)

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