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E.g., 2017-07-26
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Self Paced

A human-centered approach to the fundamentals of cell biology with a focus on the power plants of the cell - mitochondria. The cell is a powerful case study to help us explore the functional logic of living systems. All organisms, from single-celled algae to complex multicellular organisms like us, are made up of cells. In this course, you will learn the how and why of biology by exploring the function of the molecular components of cells, and how these cellular components are organized in a complex hierarchy.

Average: 10 (2 votes)
Self Paced

Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

Average: 4.7 (3 votes)
Self-Paced

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation.

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Self-Paced

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

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Self-Paced

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

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Self Paced

Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise? Learn about contracts from Harvard Law Professor Charles Fried, one of the world’s leading authorities on contract law. Contracts are promises that the law will enforce. But when will the law refuse to honor a promise? What happens when one party does not hold to their part of the deal?

Average: 7.7 (11 votes)

Self Paced

This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML.

Average: 5 (1 vote)
Jun 27th 2017

Access to healthcare services is critical – but is it enough? We are at a critical inflection point in global health. We have seen improvements in access to care, but struggle to improve human health. A key component of this equation is quality of care. Improving access to healthcare is only as useful as the quality of care provided. Many agree that quality is important – but what is it? How do we define it? How do we measure it? And most importantly, how might we make it better?

Average: 5 (1 vote)
Self Paced

This course is an overview of divination systems, ranging from ancient Chinese bone burning to modern astrology. Humans have always sought to know their own future, be it the destiny of an empire or an individual's fate. Across cultures and history, we find people trying to find their place in the Universe by attempting to gaze into the future.

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Jun 15th 2017

Justice, one of the most famous courses taught at Harvard College, is an introduction to moral and political philosophy, offering an opportunity to discuss contemporary dilemmas and controversies. Taught by lauded Harvard professor Michael Sandel, Justice explores critical analysis of classical and contemporary theories of justice, including discussion of present-day applications.

Average: 8.3 (6 votes)
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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Self Paced

An overview of the past, present, and future of the United States public K-12 education system.

Average: 10 (1 vote)