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Jul 11th 2017

Learn how to conduct effective user research to better understand what users love, hate, want and need. Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them.

Average: 5 (9 votes)
Jun 19th 2017

Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools.

Average: 9 (1 vote)
Jun 7th 2017

Discover the derivative---what it is, how to compute it, and when to apply it in solving real world problems. Part 1 of 3.

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Jun 6th 2017

Sharpen your design skills to deliver innovative applications in HTML5! Want to learn advanced HTML5 techniques? Discover the powerful Web features that will help you create great content and apps.

Average: 8.3 (4 votes)
Jun 6th 2017

Learn how to create a product or service that meets your customer’s needs and identify the value proposition that sets you apart from the competition. Entrepreneurship 102 prepares you for the MIT Global Entrepreneurship Bootcamp! The bootcamp is a one-week, intensive entrepreneurship education program that challenges you to start a company in 5 days. The Bootcamp offers you the unique opportunity to be mentored by MIT faculty and MIT alumni entrepreneurs and investors as you begin your new entrepreneurial journey.

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Self Paced

This introduction to biochemistry explores the molecules of life, starting at simple building blocks and culminating in complex metabolism.

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Jun 5th 2017

Learn how to both design randomized evaluations and implement them in the field to measure the impact of social programs. A randomized evaluation, also known as a randomized controlled trial (RCT), field experiment or field trial, is a type of impact evaluation that uses random assignment to allocate resources, run programs, or apply policies as part of the study design.

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Jun 5th 2017

Use economic models to learn how prices and markets benefit society in the face of scarcity, and then apply those models to analyze policy. What is produced in an economy? How is it produced? Who gets the product? Microeconomics seeks to answer these fundamental questions about markets.

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Jun 5th 2017

Learn methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest. This statistics and data analysis course will introduce you to the essential notions of probability and statistics.

Average: 2 (2 votes)
Jun 5th 2017

Using economic theory and data analysis, explore the economic lives of the poor, and the ways to design and implement effective development policy. In this course, we will study the different facets of human development in topics such as education, health, gender, the family, land relations, risk, informal and formal norms, public policy, and institutions.

Average: 8 (1 vote)
Jun 2nd 2017

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Average: 5.9 (41 votes)
Self Paced

Learn to create images of 3D scenes in both real-time and with realistic raytracing in this introductory computer graphics course. Today, computer graphics is a central part of our lives, in movies, games, computer-aided design, virtual simulators, visualization and even imaging products and cameras. This course teaches the basics of computer graphics that apply to all of these domains.

Average: 5.8 (6 votes)
Jun 1st 2017

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios.

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Jun 1st 2017

This course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care. Each of the three courses is designed from a different perspective based on various healthcare roles.

Average: 9 (5 votes)
Self Paced

Use R to learn fundamental statistical topics such as descriptive statistics and modeling. In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs. Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion.

Average: 8.5 (2 votes)
Self Paced

Use R to learn the fundamental statistical topic of basic inferential statistics. In the second part of a two part course, we’ll learn how to take data and use it to make reasonable and useful conclusions. You’ll learn the basics of statistical thinking – starting with an interesting question and some data.

Average: 6.5 (2 votes)
Jun 1st 2017

An introduction to academic writing for English Language Learners, focusing on essay development, grammatical correctness, and self-editing.

Average: 5.6 (8 votes)
Jun 1st 2017

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios.

No votes yet
Jun 1st 2017

With a full tuition under $20K, the University of Illinois Master of Computer Science - Data Science (MCS-DS) is the most affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS builds expertise in four core areas of computer science: data visualization, machine learning, data mining and cloud computing, in addition to building valuable skill sets in statistics and information science with courses taught in collaboration with the University’s Statistics Department and ISchool (ranked #1 among Library and Information Studies Schools.)

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Jun 1st 2017

This course will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and "your turn" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health.

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