Roger D. Peng

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.
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Data Science in Real Life (Coursera) Coursera
Johns Hopkins University

Data Science in Real Life (Coursera)

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.

Jun 29th 2026
1 Week
Building a Data Science Team (Coursera) Coursera
Johns Hopkins University

Building a Data Science Team (Coursera)

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.

Jun 29th 2026
1 Week
A Crash Course in Data Science (Coursera) Coursera
Johns Hopkins University

A Crash Course in Data Science (Coursera)

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.

Jun 29th 2026
1 Week
Managing Data Analysis (Coursera) Coursera
Johns Hopkins University

Managing Data Analysis (Coursera)

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.

Jun 29th 2026
1 Week
Advanced R Programming (Coursera) Coursera
Johns Hopkins University

Advanced R Programming (Coursera)

Dive deep into the world of R programming with our Advanced R Programming course. Learn essential skills for developing sophisticated data science tools, including functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and function design. Perfect for those looking to enhance their R expertise and create more efficient, reliable applications.

Jun 29th 2026
4 Weeks
Building R Packages (Coursera) Coursera
Johns Hopkins University

Building R Packages (Coursera)

Discover the art of organizing and distributing your R code with 'Building R Packages'. This course, offered by Coursera, will teach you how to maximize the usefulness and reusability of your data science software by adhering to community-based standards and providing a great user experience. Whether you're new to package development or looking to refine your skills, this course is designed for anyone who wants to share their R code effectively.

Jun 29th 2026
4 Weeks
Building Data Visualization Tools (Coursera) Coursera
Johns Hopkins University

Building Data Visualization Tools (Coursera)

Unlock the power of data visualization with our 'Building Data Visualization Tools' course. Designed for aspiring data scientists, this course equips you with the skills needed to develop cutting-edge visualization techniques that bring complex datasets to life. Perfect for those looking to enhance their data storytelling abilities and contribute to the data science revolution.

Jun 29th 2026
4 Weeks
Introduction to the Tidyverse (Coursera) Coursera
Johns Hopkins University

Introduction to the Tidyverse (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.

Jun 29th 2026
4 Weeks