Online courses directory (4179)

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

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.

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by [John Tukey](http://en.wikipedia.org/wiki/John_Tukey), exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods. If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required) This course is also a part of our Data Analyst Nanodegree.

In this free course Data Analytics – Introduction to Machine Learning you will learn about machine learning methods that help automate the analysis of data. These computing methods help find hidden insights and information within the data without being explicitly programmed where or what to search for within the data.<br /><br />This course begins by introducing you to supervised and unsupervised learning. You will learn how to distinguish between each type of learning and how to use them to analyse data. You will also learn about linear regression and how it can be used. The course introduces concepts about regularization and how to avoid over-fitting by using regularization.<br /><br />Next, you will learn about using Excel and Matlab to perform simple and multiple regression. You will learn about confidence levels and subset selections. You will learn how to distinguish between R² and adjustment R² and what they both measure. The course will finish by introducing what the K-NN approach is in data analytics and when this approach should be used. <br /><br />This course will be of great interest to professionals who work in the areas of data analytics and data science and who would like to learn more about methods used in machine learning. It will also be of interest to learners who are interested in computer science and would like to learn more about how machine learning gives computers the ability to learn without being explicitly programmed.

In this free data analysis course Data Analytics - Mining and Analysis of Big Data you will be introduced to the concept of big data and to a number of techniques that are used to analyse and interpet big data. <br /><br />The course begins by introducing you to big data and lists the four V’s of big data. You will learn about associative rule mining, and about when association can be applied and the patterns that arise in mining. <br /><br />Next, you will learn about clustering analysis. You will examine the difference between clustering and classification and the different types of clustering. You will also learn about K-means clustering and K-meloids.<br /><br />Finally, you will learn about online and active learning. You will learn about experimentation and the difference between an online and offline context of creating data. You will be introduced to the n-arm bandit problem and how to find solutions for the multi-arm bandit problem. <br /><br />This free online course will be of great interest to professionals involved in data science and data analysis and any learner who wants to learn more about analysing big data using mining and clustering techniques.

The free online course Data Journalism and Media Standards introduces you to the methods used by journalists in gathering and utilizing online data, as well as the use of freedom of information requests for government and public records. The use of blogs and the rise of the citizen journalist are also explored.<br /><br />The course first introduces the ever-growing set of tools, techniques, and approaches to storytelling known as data journalism. You will learn how to find data on the web, how to request it using freedom of information laws, how to use screen-scraping to gather data from unstructured sources, and use crowd-sourcing to collect datasets from readers. You will learn how to present data using techniques such as data visualization and news applications. You will also learn about mining data and learn to recognize the four main obstacles to the use of data journalism. <br /><br />Next, you will learn about the role of the free press and the standards that are in place which describe the privileges and responsibilities of a free press in a free society. The laws, statutes, and codes that determine the conduct required of news organizations are explained. The framework of a free press is also explained, such as, what rights are essential, in order for journalists to do their jobs. You will also learn about censorship and regulation of the media. You will review how government licensing in some countries both determines who may be a journalist and circumscribes the parameters of acceptable reporting and commentary leading to self-censorship and stifling of dissent and debate.<br /><br />Finally, you are introduced to the tools and resources used to hold bloggers and citizen journalists to account. You will learn how access to electronic files presents special challenges such as being over-connected which can fragment and compartmentalize public opinion. You will also learn how information that is in the public domain cannot be the basis of an invasion of privacy suit. You will also learn about how discipline, order and planning are essential for successful investigative journalism, and how your work must be solidly researched, well written and verifiable.<br /><br />This course will be of great interest to journalists and students who would like to learn how gathering and presenting data can be used as key part of the journalistic process. The course will also be of interest to learners who want an insight into the ethics and laws governing journalism, and how they apply to both professional and citizen journalists.<br />

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling to data visualization. If you present data to others, aspire to be an analyst or data scientist, or if you’d like to become more technical with visualization tools, then you can grow your skills with this course. The course does not cover exploratory approaches to discover insights about data. Instead, the course focuses on how to visually encode and present data to an audience once an insight has been found. This course is part of the Data Analyst Nanodegree.

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course. This course is part of both the Business Analyst and Data Analyst Nanodegree Programs.

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this! Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework. This is a great course for those interested in entry-level data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data. This course is also a part of our Data Analyst Nanodegree.

This course presents an example of applying a database application development methodology to a major real-world project.

In the free online course Databases - DML Statements and SQL Server Administration you will learn about using statements to retrieve, modify and delete data from a database. You will study about performing administrative tasks such as adding security and backing up your database.<br /><br />The course begins by introducing you to DML or Data Manipulation Language statements. It will teach you about the SELECT statement to search and retrieve data from your database, and about applying the where clause to refine your SELECT statement. You will also learn about aggregate functions and other clauses you can include in your SELECT statement, and to update and delete data in a database.<br /><br />Next, you will be introduced to security terminology in which you will learn about the different levels of security using SQL Server Administration. This course will also teach you about applying security and adding users to a database, different ways to backup and restore a database using SQL Server Administration.<br /><br />This free Alison course will be of great interest to those wishing to learn about querying a database and applying security to it. <br /><br />

Learn to Design your database without writing a single line of Code

**Machine learning** is one of the fastest-growing and most exciting fields out there, and **deep learning** represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. ***Note**: This is an intermediate to advanced level course offered as part of the [Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009) program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.*

Kavita Ramdas, President and CEO of the Global Fund for Women, defines entrepreneurship by looking to the roots of the F

Delivering Community Development is the second in a series of free online courses that will guide you in the delivery of a successful community development project. The course will also guide you on how to maintain momentum during a community development project and how to evaluate the effectiveness of the project. Using community health as a springboard for understanding community development you will learn about the key skills needed in delivering community-based projects such as effective communication and facilitation techniques, how to prepare presentations and key leadership skills. You will learn about media communication techniques such as writing a press release or how to answer a difficult question. The course also reviews how to work with other organisations in the community and you will learn how to identify the key factors that make a successful partnership. You will also learn about fundraising, the pros and cons of different types of fundraising and the phases of fundraising. Volunteers are a key resource in any community project and you will learn how to recruit them and what makes fora successful volunteer program. Finally, you will learn about the methods you can use to evaluate the community project and what you need to do to sustain progress in a community group. This course will be of great interest to professionals or volunteers working in community development and with community organisations and who would like to learn more about the key skills needed to deliver a successful community project.<br />

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Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.

This course will introduce you to web deployment platforms. You’ll begin by deploying your first web application to the Heroku platform, making it publicly available on the internet. In the process, you will learn about the underlying mechanics of web hosting. You will also learn how to configure your app, from accessing log output to configuring environment variables.

Guía para describir y aplicar la Clasificación Internacional del Funcionamiento, de la Discapacidad y de la Salud