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University of Colorado Boulder - Statistical Modeling for Data Science Applications Specialization 

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Statistical Modeling for Data Science Applications Specialization
 at 
Coursera 
Overview

Duration

4 months

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Statistical Modeling for Data Science Applications Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion from Coursera
  • This specialization can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform
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Statistical Modeling for Data Science Applications Specialization
 at 
Coursera 
Course details

More about this course
  • Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data
  • In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit
  • In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models
  • Emphasis will be placed on analyzing real data using the R programming language
  • The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others

Statistical Modeling for Data Science Applications Specialization
 at 
Coursera 
Curriculum

Modern Regression Analysis in R

ANOVA and Experimental Design

Generalized Linear Models and Nonparametric Regression

Statistical Modeling for Data Science Applications Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Statistical Modeling for Data Science Applications Specialization
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