Kerby Shedden

Dr. Kerby Shedden is a Professor at the University of Michigan, specializing in the application of statistical models and data analysis techniques. His research and teaching focus on using Python as a tool for statistical analysis, making complex data accessible and interpretable.Dr. Shedden offers courses that equip students with essential skills in statistical modeling and data science, including Fitting Statistical Models to Data with Python, Inferential Statistical Analysis with Python, and Understanding and Visualizing Data with Python. These courses provide a comprehensive understanding of how to apply Python programming to real-world data analysis challenges, empowering students to make informed decisions based on statistical evidence.Through his teaching, Dr. Shedden is helping shape the next generation of data scientists, ensuring they are proficient in both statistical theory and the practical tools required to analyze and visualize data effectively.