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Duke University
Data Analysis with R Specialization
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

(5,982 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

(5,982 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

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Taught in English

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Specialization - 3 course series

Introduction to Probability and Data with R

Course 114 hours4.7 (5,747 ratings)

What you'll learn

Skills you'll gain

Category: Probability
Category: Data Analysis
Category: Probability Distribution
Category: R Programming
Category: Statistics
Category: Descriptive Statistics
Category: Statistical Inference
Category: Sampling (Statistics)
Category: Statistical Software
Category: Bayesian Statistics
Category: Statistical Analysis
Category: Data Science
Category: Exploratory Data Analysis

Inferential Statistics

Course 216 hours4.8 (2,733 ratings)

What you'll learn

Skills you'll gain

Category: Statistical Inference
Category: Statistical Hypothesis Testing
Category: Statistical Methods
Category: Sampling (Statistics)
Category: Probability & Statistics
Category: R Programming
Category: Data Analysis
Category: Statistical Reporting
Category: Statistical Analysis
Category: Probability Distribution
Category: Statistical Software
Category: Software Installation

Linear Regression and Modeling

Course 310 hours4.8 (1,754 ratings)

What you'll learn

Skills you'll gain

Category: Regression Analysis
Category: Statistical Modeling
Category: Predictive Modeling
Category: Statistical Analysis
Category: Data Analysis
Category: R Programming
Category: Statistical Inference
Category: Statistical Software
Category: Exploratory Data Analysis
Category: Statistical Methods

Instructor

Mine 脟etinkaya-Rundel
Duke University
10 Courses410,187 learners

Offered by

Duke University

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