E.g., Tuesday, July 28, 2015
E.g., Tuesday, July 28, 2015
E.g., Tuesday, July 28, 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

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

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Aug 3rd 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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Aug 3rd 2015

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

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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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Aug 3rd 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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Aug 3rd 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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Aug 3rd 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
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Aug 3rd 2015

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

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Aug 3rd 2015

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

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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
Average: 7 (1 vote)
Jul 13th 2015

This course covers chemicals in our environment and in our bodies and how they impact our health. It addresses policies and practices related to chemicals, particularly related to how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and their impact on our health.

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Jul 20th 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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Jul 13th 2015

Learn to assess data from clinical trials by performing systematic reviews and meta-analyses.

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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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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

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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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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