Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.
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Discover how Unix can serve as your ultimate digital workbench for accomplishing a wide range of goals on your computer. This course will teach you the fundamentals of Unix, enabling you to write more effective software and streamline your workflow.
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Discover how to effectively manage real-life data analysis projects with 'Data Science in Real Life'. This course teaches you to navigate through complex, imperfect datasets and turn them into clear, actionable insights. Perfect for professionals looking to refine their skills and lead successful data science teams.
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Embark on a one-week journey to master the art of assembling and managing a high-performing data science team. This course will equip you with essential skills in hiring the right individuals, structuring your team for maximum productivity, and effectively overseeing growth and performance. Whether you're new to data science leadership or looking to refine existing strategies, this course offers valuable insights and actionable steps.
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Embark on a one-week journey to understand the buzz around data science and big data. This concise course is designed for anyone looking to grasp the essentials without any unnecessary complexity. Whether you're new to the field or seeking to manage data scientists, this class will quickly bring you up to speed with data science principles.
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Dive into a one-week intensive course that unravels the complexities of managing data analysis. This program is designed to equip you with essential skills in stating clear questions, conducting exploratory data analysis, performing inference, creating formal models, interpreting results, and communicating findings effectively. Learn how to lead analytic activities within a team and drive your data analysis projects towards meaningful outcomes.
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Este curso de una semana ofrece una comprensión profunda sobre cómo gestionar el análisis de datos, desde la formulación de preguntas hasta la comunicación de resultados. Aprenda las técnicas clave para dirigir eficazmente el proceso analítico y obtener conclusiones coherentes y útiles.
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Embark on a journey into the world of data science with 'The Data Scientist's Toolbox'. This introductory course equips you with fundamental tools and ideas that are pivotal for any aspiring data analyst or scientist. Dive into understanding how data is transformed into knowledge, and get hands-on experience with version control, markdown, git, GitHub, R, and RStudio.
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Embark on a journey to master the fundamentals of data acquisition and cleaning with 'Getting and Cleaning Data'. This course is designed for those new to data science or professionals looking to refine their skills in collecting and preparing data for analysis. From web scraping to database management, you'll learn how to obtain data from multiple sources and transform it into a clean, usable format.
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Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.