Duke University

 

 


 

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E.g., 2017-03-25
E.g., 2017-03-25
E.g., 2017-03-25
April 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: 8.7 (3 votes)
Mar 29th 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)
Mar 27th 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 (5 votes)
Mar 27th 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: 8 (5 votes)
Mar 27th 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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Mar 27th 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: 10 (1 vote)
Mar 27th 2017

Introduction to Genetics and Evolution is a college-level class being offered simultaneously to new students at Duke University. The course gives interested people a very basic overview of some principles behind these very fundamental areas of biology. We often hear about new "genome sequences," commercial kits that can tell you about your ancestry (including pre-human) from your DNA or disease predispositions, debates about the truth of evolution, why animals behave the way they do, and how people found "genetic evidence for natural selection."

Average: 7.8 (4 votes)
Mar 27th 2017

This course will explore the forces that led to the 9/11 attacks and the policies the United States adopted in response. We will examine the phenomenon of modern terrorism, the development of the al Qai'da ideology, and the process by which individuals radicalize towards violence.

Average: 6 (2 votes)
Mar 27th 2017

This is an introductory course for students with limited background in chemistry; basic concepts such as atomic and molecular structure, solutions, phases of matter, and quantitative problem solving will be emphasized with the goal of preparing students for further study in chemistry.

Average: 7.8 (5 votes)
Mar 27th 2017

You will gain a foundation for college-level writing valuable for nearly any field. Students will learn how to read carefully, write effective arguments, understand the writing process, engage with others' ideas, cite accurately, and craft powerful prose.

Average: 4 (5 votes)
Mar 27th 2017

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.

Average: 5.5 (19 votes)
Mar 20th 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)
Mar 20th 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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Mar 20th 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)
Mar 20th 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)
Mar 20th 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)
Mar 20th 2017

This course examines the relation of advertising to society, culture, history, and the economy. Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials.

Average: 5.9 (7 votes)
Mar 20th 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)
Mar 20th 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
Mar 20th 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)

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