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Data Science: Inference and Modeling 
offered by Harvard University

Data Science: Inference and Modeling
 at 
Harvard University 
Overview

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Duration

8 weeks

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Course Level

UG Certificate

Data Science: Inference and Modeling
 at 
Harvard University 
Highlights

  • Earn a certificate
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Data Science: Inference and Modeling
 at 
Harvard University 
Course details

What are the course deliverables?
  • The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data
  • How to use models to aggregate data from different sources
  • The very basics of Bayesian statistics and predictive modeling
More about this course
  • This course will show learners how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool using R
  • Learner will learn concepts necessary to define estimates and margins of errors and learn how learner can use these to make predictions relatively well and also provide an estimate of the precision of forecast
  • Once learner learn this they will be able to understand two concepts that are ubiquitous in data science: confidence intervals, and p-values
  • Then, to understand statements about the probability of a candidate winning, learner will learn about Bayesian modeling

Data Science: Inference and Modeling
 at 
Harvard University 
Curriculum

Data Science, Data Analysis, R, Probability, Statistics

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Data Science: Inference and Modeling
 at 
Harvard University 
Faculty details

Rafael Irizarry
Designation : Professor of Biostatistics, T.H. Chan School of Public Health

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Data Science: Inference and Modeling
 at 
Harvard University 
Contact Information

Address

1350 Massachusetts Ave, Cambridge, Massachusetts 02138, USA
Cambridge ( Massachusetts)

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