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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

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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

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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

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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

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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

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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

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Statistical Inference for Estimation in Data Science

This course introduces statistical inference, sampling distributions, and confidence intervals. Stud...

University/Institute: University of Colorado Boulder

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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

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Statistical Inference

Statistical inference is the process of drawing conclusions about populations or scientific truths f...

University/Institute: Johns Hopkins University

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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

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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

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Reproducible Research

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducibl...

University/Institute: Johns Hopkins University

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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

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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

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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

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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

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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

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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

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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

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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

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