Duke University
Data Analysis with R Specialization

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Duke University

Data Analysis with R Specialization

Master Data Analysis with R. Statistical mastery of data analysis including basic data visualization, statistical testing and inference, and linear modeling

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Get in-depth knowledge of a subject
4.7

(5,912 reviews)

Beginner level
No prior experience required
4 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(5,912 reviews)

Beginner level
No prior experience required
4 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze and visualize data

  • Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients

  • Fit, examine, and utilize regression models to examine relationships between multiple variables

  • Install and use R and RStudio

Details to know

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Taught in English

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University
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Specialization - 3 course series

Introduction to Probability and Data with R

Course 114 hours4.7 (5,676 ratings)

What you'll learn

Skills you'll gain

Category: Statistics
Category: R Programming
Category: Rstudio
Category: Exploratory Data Analysis

Inferential Statistics

Course 216 hours4.8 (2,698 ratings)

What you'll learn

Skills you'll gain

Category: Statistical Inference
Category: Statistical Hypothesis Testing
Category: R Programming

Linear Regression and Modeling

Course 310 hours4.8 (1,723 ratings)

What you'll learn

Skills you'll gain

Category: Statistics
Category: Linear Regression
Category: R Programming
Category: Regression Analysis

Instructor

Mine Çetinkaya-Rundel
Duke University
9 Courses398,959 learners

Offered by

Duke University

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