Duke University

 

 


 

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Jun 26th 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)
Jun 26th 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: 7.7 (6 votes)
Jun 26th 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: 9.3 (3 votes)
Jun 26th 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.

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Jun 26th 2017

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

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Jun 26th 2017

9/11 was a devastating attack that required a comprehensive response from the United States. This course will examine post-9/11 U.S. counterterrorism policies regarding the use of military force, law enforcement and intelligence collection, and domestic security. We will trace these policies to the current day and assess their legality, ethics, and efficacy in counteracting terrorism.

Average: 9 (5 votes)
Jun 26th 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)
Jun 26th 2017

Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons.

Average: 5.5 (2 votes)
Jun 26th 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: 5.3 (3 votes)
Jun 26th 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)
Jun 26th 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: 6.5 (4 votes)
Jun 26th 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)
Jun 26th 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.

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Jun 26th 2017

This course will build on the skills you learn in Java Programming: Solving Problems with Software. You will continue to expand your programming skill set to read and manipulate data with more complex structure. You will also write programs with more complex structure. By the end of this course, you will be able to:

Average: 8 (2 votes)
Jun 26th 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)
Jun 21st 2017

The oil and gas industry has an enormous impact on all aspects of daily life. Individuals, corporations, and national governments make financial and policy decisions based on the cost, use, and availability of these two natural resources. This two-week course looks at the two most fundamental aspects of the oil and gas industry, its operations and markets, each of which is addressed as a separate module in the course.

Average: 4.6 (15 votes)
Jun 19th 2017

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

Average: 8.3 (8 votes)
Jun 19th 2017

In this course, you will write programs in Java to solve real­ world problems that are large enough to require multiple classes working together. You will see that programming is more than just coding--it involves strategic thinking and design as well. You will learn how to design programs to solve problems that require solutions that scale. You will also learn about the Java Collections classes and how Java interfaces facilitate developing programs that scale. After completing this course, you will be able to:

Average: 7.9 (7 votes)
Jun 19th 2017

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

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Jun 19th 2017

The purpose of this course is to introduce you to current global challenges in conservation and development, including changes in both sectors. This course will inspire you to rethink assumptions to address global challenges in conservation and development, and introduce you to new models and approaches that harness technological, behavioral, and financial innovation.

Average: 9.5 (2 votes)

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