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. School Continuing Studies Divinity School Duke Health Duke Law School Fuqua School of Business Nicholas School of the Environment Pratt School of Engineering Sanford School of Public Policy School of Medicine School of Nursing Trinity College of Arts & Sciences
. Subject Arts Biology & Life Sciences Business & Management Chemistry Computer Science Economics & Finance Education Engineering Environmental Studies Health & Medicine Humanities Law Mathematics Public Policy Religion Social Sciences Statistics & Data Analysis
. Credential / Type Degrees For-credit certificates Instructor-led courses Microlearning Non-credit certificates Self-paced courses Specializations
Statistics & Data Analysis / Self-paced courses
Learn how to use the advanced methods of instrumental variables and regression discontinuity to find causal effects. >>
Learn the basic concepts behind causal inference in the first of course of the series, "Causal Inference with R." >>
Learn about experiment design and working with data from experiments in the second course of the seven-part series, "Causal Inference with R." >>
Learn how to use regression to find causal effects in the third course of the seven-part series, "Causal Inference with R." >>
Business & Management / Specializations
Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses. >>
Statistics & Data Analysis / Specializations
Learn to analyze and visualize data in R and create reproducible data analysis reports over 5 courses. >>
Mathematics / Self-paced courses
Master the vocabulary, notation, concepts, and algebra rules that all data scientists must know. >>
Get an introduction to sampling and exploring data, as well as basic probability theory and Bayes' rule. >>
The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results ... >>
Learn the fundamental theory behind linear regression and learn to use regression models to examine relationships between multiple variables using ... >>
Learn the fundamentals of Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. >>
Apply data analysis techniques learned in the Statistics with R Specialization on a project analyzing a large and complex dataset. >>
Business & Management / Self-paced courses
Learn best practices for how to use data analytics to make any company more competitive and profitable. >>
Learn data-analysis concepts and methods you need to design and implement realistic predictive models based on data. >>
Complete a Capstone Project for the Excel to MySQL: Analytic Techniques for Business Specialization using data analysis to recommend a method for i... >>
Learn how to become a master at communicating business-relevant implications of data analyses using Tableau. >>
Gain a clear understanding of how relational databases work and develop a portfolio of queries you can show potential employers. >>
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