Online courses directory (4179)
This course familiarizes students with creating instructionally focused interactive media. The tool used in the class currently is Adobe Flash. Topics to be covered include fundamental programming concepts (variables, variable types, code re-use, commenting code, and basic control structures) in addition to the fundamentals of the flash environment (animation or
Organic chemistry course covering intermediate topics in structure and reactivity with special applications to the life sciences.
A guide to Internal Communication methods, tactics & channels & when and how to use them to maximum advantage.
This course will explore the different dimensions of sustainability in healthcare and ways to incorporate those ideas into the managerial and quality improvement processes of healthcare organizations. Then it will compare how those issues have been addressed in different healthcare systems around the world. The course will analyze and discuss the key elements of the five pillars of sustainability of healthcare organizations, which are: environmental, socio-cultural, institutional capacity development, financial, and political. We will review critical issues such as recycling medical waste; sustainable energy solutions for hospitals and healthcare organizations in countries with different levels of development; how to improve community health through sustainable healthcare; and many other issues equally relevant to large and small healthcare organizations in developed or developing countries. As the participants review and exchange lessons learned in different corners of the world, they will discover and exchange ideas and tools to assess the sustainability efforts of their organizations and to implement feasible strategies to advance their initiatives.
This is a week long open learning event to engage the teaching community from across the globe to join in designing, sharing, and discussing how to create great learning designs for transforming education...
Looking at international relations from a strategic perspective
Puede ponerse en contacto con otras personas y encontrar información y recursos de todo el mundo a través de Internet. En este curso se muestra cómo conectarse a Internet, explorar páginas web, buscar sitios web, usar motores de búsqueda e intercambiar mensajes de correo electrónico con otras personas.
How to grow and engage your network through the power of interviews.
This course provides a brief review of introductory algebra topics. Topics to be covered include integer operations, order of operations, perimeter and area, fractions and decimals, scientific notation, ratios and rates, conversions, percents, algebraic expressions, linear equations, the Pythagorean theorem, and graphing.
In this course you will learn how to make asynchronous requests with JavaScript (using jQuery’s AJAX functionality), and gain a better understanding of what’s actually happening when you do so. You will also learn how to use data APIs so you can take advantage of freely accessible data in your applications, including photo results, news articles and up-to-date data about the world around us. As part of the course, you’ll be building a web app that will help people learn about a place where they want to move! Your app will query the Google Streetview, Wikipedia and New York Times APIs! This course is also a part of our Front-End Web Developer Nanodegree.
Ever played the Kevin Bacon game? This class will show you how it works by giving you an introduction to the design and analysis of algorithms, enabling you to discover how individuals are connected.
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination. ***Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!***
This course presents an overview of a variety of Web backend topics: handling user input, producing templated output, storing information in databases and data stores, and building systems with secure user accounts.
In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own search engine and social network.
This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process, which includes: * Posing a question * Wrangling your data into a format you can use and fixing any problems with it * Exploring the data, finding patterns in it, and building your intuition about it * Drawing conclusions and/or making predictions * Communicating your findings You'll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that's cleaner, more concise, and runs faster. This course is part of the [Data Analyst Nanodegree](https://www.udacity.com/course/data-analyst-nanodegree--nd002).
The Introduction to Data Science class will survey the foundational topics in data science, namely: * Data Manipulation * Data Analysis with Statistics and Machine Learning * Data Communication with Information Visualization * Data at Scale -- Working with Big Data The class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth. This will give you the opportunity to sample and apply the basic techniques of data science. This course is also a part of our Data Analyst Nanodegree.
Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.
The goal of this course is to take existing IT professionals, whether they come from software development or operations, and help them appreciate the challenges facing companies who are looking to embrace scalable software deployment as well as the architectures and thought processes they can use to address these challenges. Students will start with a presentation of the problem as it stands today, then dive into the DevOps workflow and a survey of the system architectures currently being used to address this problem.
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.
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