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. Subject Arts Biology & Life Sciences Business & Management Chemistry Computer Science Economics & Finance Education Engineering Environmental Studies Health & Medicine Humanities Law Mathematics Public Policy 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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