Duke University

 

 


 

Customize your search:

E.g., 2017-08-17
E.g., 2017-08-17
E.g., 2017-08-17
Aug 21st 2017

Welcome to the course where you learn to launch a new business in the energy, finance, real estate, design, engineering, or environmental sectors, while also helping you create positive environmental and human health impacts around the world. We will integrate tools, trends, and tips from the field of entrepreneurship as a career path for making a difference and generating wealth in the renewable energy and green building sectors.

No votes yet
Aug 21st 2017

This interdisciplinary course focuses on sustainable innovation, introducing entrepreneurial students to the realities of problem identification and solution design within the complex world of healthcare.

Average: 6.5 (2 votes)
Aug 21st 2017

Sports play a giant role in contemporary society worldwide. But few of us pause to think about the larger questions of money, politics, race, sex, culture, and commercialization that surround sports everywhere. This course draws on the tools of anthropology, sociology, history, and other disciplines to give you new perspectives on the games we watch and play.

Average: 8.3 (4 votes)

Aug 21st 2017

This course provides students an understanding of important human parasitic diseases, including their life cycles, vectors of transmission, distribution and epidemiology, pathophysiology and clinical manifestations, treatment, and prevention and control.

Average: 2.3 (3 votes)
Aug 21st 2017

This is an introductory course for students with limited background in chemistry; basic concepts involved in chemical reactions, stoichiometry, the periodic table, periodic trends, nomenclature, and chemical problem solving will be emphasized with the goal of preparing students for further study in chemistry as needed for many science, health, and policy professions.

Average: 5.7 (3 votes)
Aug 21st 2017

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm.

No votes yet

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

In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.

No votes yet
Aug 21st 2017

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.

Average: 5.8 (5 votes)
Aug 21st 2017

In this course, you will use computers to creatively design web pages using HTML and CSS. You will then use Javascript to develop programs and algorithms--ways to get the computer to solve problems. As you progress, you will master the programming process that will be used through the remainder of the courses in this Specialization.

Average: 5.5 (4 votes)
Aug 21st 2017

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

Average: 6.2 (5 votes)

Aug 21st 2017

Building upon Duke’s “Programming and the Web for Beginners” course, you will grow in your ability to be a problem-solver and programmer by writing Java programs. We are excited that you've chosen to learn Java with us! You will soon be able to solve problems that you find interesting and useful by practicing a design process you will learn in this course.

Average: 4.7 (6 votes)