Dr. Irizarry received his bachelor’s in mathematics in 1993 from the University of Puerto Rico and his Ph.D. in statistics in 1998 from the University of California, Berkeley. He joined the faculty of the Department of Biostatistics in the Bloomberg School of Public Health in 1998 and was promoted to Professor in 2007. He is now Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute and a Professor of Biostatistics at Harvard School of Public Health. Dr. Irizarry has worked on the analysis and pre-processing of microarray, next-generation sequencing, and genomic data, and is currently interested translational work, developing diagnostic tools and discovering biomarkers. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data.
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EdX
Discover the fundamentals of data visualization and explore how to effectively analyze and present data through this beginner-friendly course on edX. With a focus on practical application, you'll learn to use ggplot2 in R to create compelling visual representations of data. Perfect for those new to data science or looking to refine their exploratory analysis skills.
EdX
Unlock the secrets of efficient data analysis with our Data Science: Productivity Tools course. Learn how to organize your projects, manage files, and create reproducible reports using essential tools like GitHub, git, Unix/Linux, and RStudio. Perfect for data analysts looking to enhance their productivity and streamline their workflow.
EdX
Discover the art and science of transforming raw data into a format ready for insightful analysis with 'Data Science: Wrangling'. This course, offered by edX, equips you with practical skills in importing, tidying, string processing, HTML parsing, handling dates and times, and text mining using R. Whether you're new to data science or looking to refine your existing skills, this course is designed to guide you through the critical steps of data wrangling that every analyst will encounter.
EdX
Dive into the world of data analysis with edX's 'Data Science: Inference and Modeling' course. This comprehensive program will equip you with the indispensable tools of statistical inference and modeling, enabling you to effectively analyze data influenced by random variation. Learn through a compelling case study on election forecasting and become proficient in two key areas of data science.
EdX
Dive into the world of Data Science with 'Data Science: Linear Regression' on edX. This course will equip you with the skills needed to implement linear regression models in R, a powerful tool used extensively across various fields for understanding relationships between variables and making predictions. Whether you're new to data science or looking to refine your analytical skills, this course offers an accessible yet thorough introduction.
EdX
Elevate your career in data science by completing the Professional Certificate Program in Data Science and culminate it with our Data Science: Capstone project on edX. This final project will challenge you to apply your knowledge of data visualization, probability, inference, modeling, data wrangling, organization, regression, and machine learning through practical R data analysis tasks.
EdX
Discover the essential steps to analyze DNA methylation data with our self-paced online course. Gain a thorough understanding of the fundamental techniques and methodologies involved in studying epigenetic modifications. Enroll now and enhance your expertise in genomic research.
EdX
Embark on an exciting journey into the world of Data Science with our 'Data Science: Machine Learning' course from edX. This course will equip you with the skills needed to construct powerful prediction algorithms using real-world datasets. Dive deep into understanding machine learning, a cornerstone technique that has revolutionized industries worldwide.