Online courses directory (10358)

Data flows everywhere today, but consuming and communicating the essence of these signals is no easy task. Business executives want to hear findings as efficiently as possible. Business managers would like an engaging dialogue with data, but turn data aside if the burden of knowledge is too great. Results really matter. A proven framework and method for interpreting and communicating data insights is necessary when the going gets tough.

In this data analysis and statistics course, you’ll discover effective strategies and tools to master the process of interpreting and then communicating your data analysis and visualization work to business audiences. This course will empower you with proven business analytics methods and boost your confidence for effective communication of insights.

This course examines the implications of informatics for practice, in nursing, public health, and healthcare in general. It covers electronic health record issues and relates ethical, legislative and political issues to health informatics. Students will also explore global and future informatics issues.

"Parrhesia" was an Athenian right to frank and open speaking, the right that, like the First Amendment, demands a "fearless speaker" who must challenge political powers with criticism and unsolicited advice. Can designer and artist respond today to such a democratic call and demand? Is it possible to do so despite the (increasing) restrictions imposed on our liberties today? Can the designer or public artist operate as a proactive "parrhesiatic" agent and contribute to the protection, development and dissemination of "fearless speaking" in Public Space?

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.

Learn how to program in C# using Microsoft Visual Studio Express

This course teaches students how to prepare, interpret, and use financial data to make business and financial decisions. Course content is based on a variety of topics pulled from specifications of the Accounting Pilot and Bridge Project (APBP) as spearheaded by Dan Deines and Joe Bittner. The APBP is currently striving to get the College Board to add Accounting to its AP Curriculum. Particular emphasis has been placed on mastering the expanded accounting equation, the full accounting cycle, preparing the financial statements, and understanding key financial ratios. Beginners or those just wanting to learn more about accounting are welcome, in addition to professionals and educators. In order to successfully complete this course, students will need the following prerequisites: 1. The ability to read and comprehend English at a college freshman level. 2. Access to YouTube to view course videos. 3. The ability to perform simple math (addition, subtraction, multiplication, division), including solving for an unknown, as shown below: a = b*c where you are given a and c and you need to solve for b a = b + c where you are given a and b and you need to solve for a a = b/c where you are given a and c and you need to solve for b

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.

Art Fundamentals will address basic art and design skills in drawing and composition, principles of two-dimensional and human figure drawing. This course is specifically designed for high school students interested in exploring their creativity and developing foundational skills in art and design.

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.

HTML and CSS are markup languages and the building blocks that make up the web. This course is called "Not your Typical Intro" because it does not follow the usual pattern of other courses and tutorials that you find on the Internet. Usually HTML and CSS are taught with a focus on language syntax. But knowing syntax alone does not enable you to create a webpage from a design. You need to know where to start and how to approach the task, in other words - you need to learn how to think like a front-end developer. In this course you will learn how to convert digital design mockups into static web pages. We will teach you how to approach page layout, how to break down a design mockup into page elements, and how to implement that in HTML and CSS. You will also learn about responsive design techniques, which are increasingly important in a world where mobile devices and TV screens are used more and more often to look for information and entertainment.

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.