E.g., Tuesday, June 30, 2015
E.g., Tuesday, June 30, 2015
E.g., Tuesday, June 30, 2015
No sessions available

Public Health focuses on the health of entire populations, fighting disease on a massive scale.

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Aug 3rd 2015

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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Jul 13th 2015

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

7
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Jul 6th 2015

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit.

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Jul 6th 2015

The basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

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Jul 6th 2015

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.

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Jul 6th 2015

Learn the basic components of building and applying prediction functions with an emphasis on practical applications.

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Jul 6th 2015

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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Jul 6th 2015

Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.

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Jul 6th 2015

Learn how to gather and clean data from a variety of sources. This is the third course in the Johns Hopkins Data Science Course Track.

10
Average: 10 (1 vote)
Jul 6th 2015

Learn how to draw conclusions about populations or scientific truths from data.

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Jul 6th 2015

Learn the concepts and tools behind reporting modern data analyses in a reproducible manner.

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Jul 6th 2015

Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.

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Jun 1st 2015

A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics.

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Jun 22nd 2015

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

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May 18th 2015

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

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May 27th 2015

This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this goal in selected populations and how the principles of primary health care can guide future policies and actions.

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May 18th 2015

Learn to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition.

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