Brian Caffo

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001. He works in the fields of computational statistics and neuroinformatics and co-created the SMART working group. He has been the recipient of the Presidential Early Career Award for Scientist ( PECASE) and Engineers and Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

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Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Dive into the world of Advanced Linear Models for Data Science with Class 2: Statistical Linear Models. This course is designed to provide a deep understanding of least squares from both linear algebraic and mathematical perspectives. Suitable for those with a basic grasp of linear algebra, multivariate calculus, statistics, regression models, proof-based mathematics, and R programming.

Sep 28th 2026
4 Weeks
Advanced Linear Models for Data Science 1: Least Squares (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Sep 21st 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

Discover the essential probability and statistical principles employed in basic data analysis through our beginner-friendly Mathematical Biostatistics Boot Camp 1. Designed for those with a strong foundation in calculus, this course offers an introductory approach to these critical concepts. A bit of linear algebra and programming knowledge will enhance your learning experience but are not prerequisites.

Sep 14th 2026
4 Weeks
Mathematical Biostatistics Boot Camp 2 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 2 (Coursera)

Dive into the world of biostatistics with 'Mathematical Biostatistics Boot Camp 2'. This course is designed to equip you with essential skills in data analysis and statistical inference, specifically focusing on one and two independent samples. Whether you're a healthcare professional, researcher, or student, this program will enhance your understanding of key concepts that are crucial for making informed decisions based on data.

Sep 14th 2026
4 Weeks
The Data Scientist's Toolbox (Coursera) Coursera
Johns Hopkins University

The Data Scientist's Toolbox (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.

Sep 7th 2026
4 Weeks
Getting and Cleaning Data (Coursera) Coursera
Johns Hopkins University

Getting and Cleaning Data (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.

Sep 7th 2026
4 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

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.

Sep 7th 2026
4 Weeks
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