Richard Valliant

Dr. Richard L. Valliant is a Research Professor at the University of Michigan and the Joint Program for Survey Methodology at the University of Maryland. He has over 40 years of experience in survey sampling, estimation theory, and statistical computing. He was formerly an Associate Director at Westat and a mathematical statistician with the Bureau of Labor Statistics. He has a range of applied experience in survey estimation and sample design on a variety of establishment and household surveys. He is also a Fellow of the American Statistical Association and has been an editor of several statistical journals.

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Dealing With Missing Data (Coursera) Coursera
University of Maryland, College Park

Dealing With Missing Data (Coursera)

Statistics & Data Analysis Data Science

Discover the essential skills needed to effectively manage missing data with 'Dealing With Missing Data' on Coursera. This course delves into advanced survey analysis techniques such as weighting, nonresponse adjustments, and imputation methods. Learn how to apply these strategies using industry-standard tools like R®, Stata®, and SAS®. Perfect for statisticians, researchers, and analysts looking to enhance their data handling capabilities.

Jun 15th 2026
4 Weeks
Data Analysis Data Collection SAS
Details
Combining and Analyzing Complex Data (Coursera) Coursera
University of Maryland, College Park

Combining and Analyzing Complex Data (Coursera)

Statistics & Data Analysis

Discover the art of combining diverse datasets and analyzing complex information with our 'Combining and Analyzing Complex Data' course. Master the use of survey weights to estimate statistics accurately, delve into advanced data analysis using R, and explore record linkage and statistical matching techniques. This course also covers crucial ethical considerations in data handling.

Jun 1st 2026
4 Weeks
Ethics Models Data Analysis
Details
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