Mathematical Biostatistics Boot Camp 1
Master fundamental probability and statistical concepts for data analysis. Ideal for students with calculus background seeking biostatistics expertise.
Master fundamental probability and statistical concepts for data analysis. Ideal for students with calculus background seeking biostatistics expertise.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced Statistics for Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master fundamental probability concepts and statistical theory
Apply confidence intervals and bootstrapping techniques
Understand conditional probability and Bayes Rule
Analyze binomial proportions and statistical distributions
Develop skills in statistical hypothesis testing
Skills you'll gain
This course includes:
8.75 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive biostatistics course presents fundamental probability and statistical concepts used in elementary data analysis. The curriculum covers probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, and binomial proportions. Students learn through a combination of theoretical foundations and practical applications, with emphasis on mathematical rigor and statistical reasoning.
Introduction, Probability, Expectations, and Random Vectors
Module 1 · 4 Hours to complete
Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
Module 2 · 3 Hours to complete
Confidence Intervals, Bootstrapping, and Plotting
Module 3 · 3 Hours to complete
Binomial Proportions and Logs
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Leading Biostatistics Expert and Educator at Johns Hopkins University
Dr. Brian Caffo is a distinguished professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He earned his PhD in Statistics from the University of Florida in 2001 and has since made significant contributions to the fields of computational statistics and neuroinformatics. Dr. Caffo is a co-founder of the SMART (Statistical Methods and Applications for Research Teams) working group, which focuses on enhancing statistical methodologies in research. His dedication to teaching and mentorship has been recognized with multiple awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE) and the Bloomberg School of Public Health's Golden Apple Award.In addition to his academic achievements, Dr. Caffo teaches a wide range of courses on Coursera, including "A Crash Course in Data Science," "Practical Machine Learning," and "The Data Scientist’s Toolbox." His courses are designed to equip learners with essential skills in data analysis and statistical modeling, making complex concepts accessible to students from various backgrounds. Through his work, Dr. Caffo continues to influence the fields of biostatistics and data science, fostering a new generation of data-savvy professionals.
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4.4 course rating
496 ratings
Frequently asked questions
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