Roger D. Peng is an Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the Simply Statistics blog. He received his Ph.D. in Statistics from the University of California, Los Angeles and is a prominent researcher in the areas of air pollution and health risk assessment and statistical methods for environmental data. He created the course Statistical Programming at Johns Hopkins as a way to introduce students to the computational tools for data analysis. Dr. Peng is also a national leader in the area of methods and standards for reproducible research and is the Reproducible Research editor for the journal Biostatistics. His research is highly interdisciplinary and his work has been published in major substantive and statistical journals, including the Journal of the American Medical Association and the Journal of the Royal Statistical Society. Dr. Peng is the author of more than a dozen software packages implementing statistical methods for environmental studies, methods for reproducible research, and data distribution tools. He has also given workshops, tutorials, and short courses in statistical computing and data analysis.
More info here.
Coursera
Dive into the world of data science with 'Introduction to the Tidyverse' on Coursera. This course will teach you how to use a suite of powerful tools designed for efficient data analysis and visualization. From understanding tidy data principles to mastering the project life cycle, this course is perfect for beginners looking to start their journey in data science.
Coursera
Discover the essential skills needed to transform raw datasets into a unified format ready for statistical analysis with this comprehensive course on importing data in the Tidyverse. Whether you're working with diverse data sources or need to prepare data for complex analyses, this course will equip you with the tools and techniques necessary to streamline your workflow.
Coursera
Discover how to tame unruly data sets and unlock their potential with 'Wrangling Data in the Tidyverse' on Coursera. This course will teach you to transform disorganized datasets into tidy formats using R's versatile Tidyverse ecosystem, enabling effective visualization and machine learning applications.
Coursera
Discover how to transform raw data into insightful visual stories with 'Visualizing Data in the Tidyverse'. This course, offered by Coursera, will equip you with essential skills for effective data visualization using R's versatile tidyverse package. Whether you're a budding data scientist or an experienced analyst looking to refine your presentation techniques, this course provides a comprehensive guide to creating impactful visualizations.
Coursera
Develop a deep understanding of modeling and analysis techniques essential for extracting valuable insights from your data. This course focuses on the powerful Tidyverse tools that will help you ask the right questions of your data and apply appropriate modeling approaches to uncover hidden patterns and relationships.
Coursera
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.
Coursera
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.
Coursera
Discover the fundamentals of R Programming with this beginner-friendly course designed by experts at Coursera. Whether you're new to coding or looking to enhance your data analysis skills, this course will guide you through installing and configuring essential software, while introducing key programming concepts tailored for statistical applications. Learn how to harness the full potential of R for data manipulation, visualization, and analysis.
Coursera
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.