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Statistics & Data Analysis / Self-paced courses

Causal Inference with R – Instrumental Variables & RDD

Learn how to use the advanced methods of instrumental variables and regression discontinuity to find causal effects. >>

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Statistics & Data Analysis / Self-paced courses

Causal Inference with R – Introduction

Learn the basic concepts behind causal inference in the first of course of the series, "Causal Inference with R." >>

Statistics & Data Analysis / Self-paced courses

Causal Inference with R – Experiments

Learn about experiment design and working with data from experiments in the second course of the seven-part series, "Causal Inference with R." >>

Statistics & Data Analysis / Self-paced courses

Causal Inference with R – Regression

Learn how to use regression to find causal effects in the third course of the seven-part series, "Causal Inference with R." >>

Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses. >>

Statistics & Data Analysis / Specializations

Statistics with R Specialization

Learn to analyze and visualize data in R and create reproducible data analysis reports over 5 courses. >>

Mathematics / Self-paced courses

Data Science Math Skills

Master the vocabulary, notation, concepts, and algebra rules that all data scientists must know. >>

Statistics & Data Analysis / Self-paced courses

Introduction to Probability and Data with R

Get an introduction to sampling and exploring data, as well as basic probability theory and Bayes' rule. >>

Statistics & Data Analysis / Self-paced courses

Inferential Statistics

The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results ... >>

Statistics & Data Analysis / Self-paced courses

Linear Regression and Modeling

Learn the fundamental theory behind linear regression and learn to use regression models to examine relationships between multiple variables using ... >>

Statistics & Data Analysis / Self-paced courses

Bayesian Statistics

Learn the fundamentals of Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. >>

Statistics & Data Analysis / Self-paced courses

Statistics with R Capstone

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

Business Metrics for Data-Driven Companies

Learn best practices for how to use data analytics to make any company more competitive and profitable. >>

Business & Management / Self-paced courses

Mastering Data Analysis in Excel

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... >>

Business & Management / Self-paced courses

Data Visualization and Communication with Tableau

Learn how to become a master at communicating business-relevant implications of data analyses using Tableau. >>

Business & Management / Self-paced courses

Managing Big Data with MySQL

Gain a clear understanding of how relational databases work and develop a portfolio of queries you can show potential employers. >>

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