Johns Hopkins University
Data Science: Foundations using R Specialization
Johns Hopkins University

Data Science: Foundations using R Specialization

Taught in English

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Roger D. Peng, PhD
Brian Caffo, PhD
Jeff Leek, PhD

Instructors: Roger D. Peng, PhD

104,936 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(5,995 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

  • Use R to clean, analyze, and visualize data.

  • Learn how to ask the right questions, obtain data, and perform reproducible research.

  • Use GitHub to manage data science projects.

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(5,995 reviews)

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

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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 Johns Hopkins University
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Specialization - 5 course series

The Data Scientist’s Toolbox

Course 118 hours4.6 (33,839 ratings)

What you'll learn

  • Set up R, R-Studio, Github and other useful tools

  • Understand the data, problems, and tools that data analysts use

  • Explain essential study design concepts

  • Create a Github repository

Skills you'll gain

Category: Data Science
Category: Github
Category: R Programming
Category: Rstudio

R Programming

Course 257 hours4.5 (22,185 ratings)

What you'll learn

  • Understand critical programming language concepts

  • Configure statistical programming software

  • Make use of R loop functions and debugging tools

  • Collect detailed information using R profiler

Skills you'll gain

Category: Knitr
Category: Data Analysis
Category: R Programming
Category: Markup Language

Getting and Cleaning Data

Course 319 hours4.5 (8,048 ratings)

What you'll learn

  • Understand common data storage systems

  • Apply data cleaning basics to make data "tidy"

  • Use R for text and date manipulation

  • Obtain usable data from the web, APIs, and databases

Skills you'll gain

Category: Data Analysis
Category: Debugging
Category: R Programming
Category: Rstudio

Exploratory Data Analysis

Course 454 hours4.7 (6,056 ratings)

What you'll learn

  • Understand analytic graphics and the base plotting system in R

  • Use advanced graphing systems such as the Lattice system

  • Make graphical displays of very high dimensional data

  • Apply cluster analysis techniques to locate patterns in data

Skills you'll gain

Category: Cluster Analysis
Category: Ggplot2
Category: R Programming
Category: Exploratory Data Analysis

Reproducible Research

Course 57 hours4.6 (4,154 ratings)

What you'll learn

  • Organize data analysis to help make it more reproducible

  • Write up a reproducible data analysis using knitr

  • Determine the reproducibility of analysis project

  • Publish reproducible web documents using Markdown

Skills you'll gain

Category: Data Manipulation
Category: Regular Expression (REGEX)
Category: R Programming
Category: Data Cleansing

Instructors

Roger D. Peng, PhD
Johns Hopkins University
37 Courses1,573,995 learners
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,599,163 learners

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