33 Probability and Statistics Courses
Advanced Linear Models for Data Science 2: Statistical Linear Models provides a comprehensive understanding of least squares from a linear algebraic and mathematical...
An Intuitive Introduction to Probability is a comprehensive course offering practical knowledge of Probability Theory, featuring lively, entertaining modules and...
ANOVA and Experimental Design introduces students to statistical modeling, ANOVA, ANCOVA, and experimental design, emphasizing real data applications and ethical...
Bayesian Statistics is a comprehensive Specialization covering Bayesian methods, R programming, and time series analysis, culminating in a skill-building capstone...
Bayesian Statistics: Techniques and Models offers an in-depth exploration of advanced Bayesian statistical models and computational techniques, providing learners...
Bayesian Statistics: Time Series Analysis provides a comprehensive exploration of building models, using R for analysis and forecasting, and explaining stationary...
Business Statistics and Analysis is a comprehensive specialization that equips learners with essential data analysis skills and techniques, culminating in a real-world...
Causal Inference is a Master's level course providing a rigorous mathematical survey of inferring causation, offering methods to estimate causal relationships and...
This program provides a solid foundation in probability theory and statistical inference, essential for data science. It equips learners with the skills to perform...
Data Science Methods for Quality Improvement is a specialization focused on data analysis skills to enhance business performance, quality, and reliability.
This course equips students with the essential tools of data literacy, enabling them to interpret descriptive statistics, causal analyses, and visualizations to...
This course equips learners with the skills to plan, design, and analyze experiments effectively, using modern experimental strategies and data analysis techniques....
Learn to forecast US Presidential Elections using mixed effects models in R, exploring voting trends and building a forecasting model for the 2020 election.
Fundamentos de probabilidad y aplicaciones es un curso fundamental que proporciona una sólida formación en conceptos clave de probabilidad y sus aplicaciones en...
Improving Your Statistical Inferences is a comprehensive course that equips learners with the knowledge and skills to enhance their statistical inferences, experimental...
Inferential Statistics offers a comprehensive exploration of statistical inference methods for both numerical and categorical data, emphasizing practical applications...
Inferential Statistics introduces students to making inferences from sample relations to population, covering significance testing, statistical tests, and software...
This course, "Inferenzstatistik," equips learners with essential statistical inference methods for numerical and categorical data analysis, focusing on...