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Johns Hopkins University is a world-renowned research university with 9 schools and campuses around the world. It offers over 260 degree programs, from undergraduate to graduate and postdoctoral training.
Introduction to key data science tools and concepts, covering R, RStudio, version control, and data analysis fundamentals for actionable insights.
Aprenda a programar em R para análise eficaz de dados, incluindo instalação de software, conceitos de programação, funções R, depuração e organização de código.
Learn to obtain, clean, and organize data from various sources, including web APIs and databases. Develop skills in data tidying, processing, and sharing for efficient analysis.
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.
Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.
Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.
Aprenda conceitos e ferramentas para realizar análises de dados reprodutÃveis, incluindo programação literária, Markdown e knitr. Desenvolva habilidades para publicar documentos cientÃficos verificáveis e reutilizáveis.
Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.
Rapid introduction to data science essentials, covering key concepts, roles, tools, and project structures. Ideal for managers and those seeking a quick overview of the field.
Learn to create responsive web pages using HTML, CSS, and JavaScript. Develop skills to build modern, user-friendly applications that adapt to various screen sizes and utilize Ajax for server-side functionality.
Explore DNA sequencing algorithms and data structures using Python. Analyze real genomes, implement key methods, and gain insights into genomics and sequencing technology.
Aprenda a criar produtos de dados interativos usando R, Shiny, e ferramentas de visualização. Desenvolva habilidades para contar histórias com dados e criar aplicações analÃticas.
Intense immersion into mathematical biostatistics, covering probability, expectations, distributions, confidence intervals, and more. Ideal for students with college-level math and calculus knowledge.
The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly.
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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