Understanding and Visualizing Data with Python
In this course, learners will be introduced to the field of statistics, including where data come fr...
University/Institute: University of Michigan
Survival Analysis in R for Public Health
Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covere...
University/Institute: Imperial College London
Summary Statistics in Public Health
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to...
University/Institute: Johns Hopkins University
Statistics for Genomic Data Science
An introduction to the statistics behind the most popular genomic data science projects. This is the...
University/Institute: Johns Hopkins University
Statistics for Data Science with Python
This Statistics for Data Science course is designed to introduce you to the basic principles of stat...
University/Institute: IBM Skills Network
Statistical Thinking for Industrial Problem Solving, presented by JMP
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists a...
University/Institute: SAS
Statistical Inference for Estimation in Data Science
This course introduces statistical inference, sampling distributions, and confidence intervals. Stud...
University/Institute: University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications
This course will focus on theory and implementation of hypothesis testing, especially as it relates...
University/Institute: University of Colorado Boulder
Statistical Inference
Statistical inference is the process of drawing conclusions about populations or scientific truths f...
University/Institute: Johns Hopkins University
Simple Regression Analysis in Public Health
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to...
University/Institute: Johns Hopkins University
Response Surfaces, Mixtures, and Model Building
Factorial experiments are often used in factor screening.; that is, identify the subset of factors i...
University/Institute: Arizona State University
Reproducible Research
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducibl...
University/Institute: Johns Hopkins University
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using li...
University/Institute: Johns Hopkins University
R Programming
In this course you will learn how to program in R and how to use R for effective data analysis. You...
University/Institute: Johns Hopkins University
Probability and Statistics: To p or not to p?
We live in an uncertain and complex world, yet we continually have to make decisions in the present...
University/Institute: University of London
Probability Theory: Foundation for Data Science
Understand the foundations of probability and its relationship to statistics and data science. We’ll...
University/Institute: University of Colorado Boulder
Practical Time Series Analysis
Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in...
University/Institute: The State University of New York
Multiple Regression Analysis in Public Health
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to...
University/Institute: Johns Hopkins University
Modern Regression Analysis in R
This course will provide a set of foundational statistical modeling tools for data science. In parti...
University/Institute: University of Colorado Boulder
Managing, Describing, and Analyzing Data
In this course, you will learn the basics of understanding the data you have and why correctly class...
University/Institute: University of Colorado Boulder