February 4th, 2019
r programming
Welcome to the 4th course in our series on causal inference concepts and methods created by Duke University with support from eBay, Inc.
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February 4th, 2019
r programming
A look at using Instrumental Variables and Regression Discontinuity to estimate causal effects
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10
November 28th, 2018
r programming
Welcome to the 3rd course in our series on causal inference concepts and methods created by Duke University with support from eBay, Inc.
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October 24th, 2018
r programming
Welcome to the Causal Inference with R – Experiments, the 2nd of 7 courses on causal inference concepts and methods created by Duke University with support from eBay, Inc.
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October 24th, 2018
r programming
Welcome to the 1st course in our 7 part series on causal inference concepts and methods created by Duke University with support from eBay, Inc.
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45
April 5th, 2018
python
Aprenderás acerca de poderosas maneras de almacenar y manipular datos, así como también geniales herramientas de ciencia de datos para comenzar tus propios análisis.
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106
November 9th, 2017
statistical modeling
+2
Discover Bayesian statistics with R: represent your beliefs with the language of probability, collect some data and update your beliefs based on the evidence contained in the data.
245
245
September 13th, 2017
r programming
在 R 語言導論中我們介紹了一種資料類型叫資料框,實務中我們面對的多數資料分析專案都是將原始資料讀為一個資料框再開始進行後續工作。
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