Johns Hopkins University
Tidyverse Skills for Data Science in R Specialization

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Johns Hopkins University

Tidyverse Skills for Data Science in R Specialization

Develop Insights from Data With Tidy Tools. Import, wrangle, visualize, and model data with the Tidyverse R packages

Carrie Wright, PhD
Stephanie Hicks, PhD
Shannon Ellis, PhD

Instructors: Carrie Wright, PhD

3,435 already enrolled

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4.6

(97 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(97 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Organize a data science project

  • Import data from common spreadsheet, database, and web-based formats

  • Wrangle and manipulate messy data and build tidy datasets

  • Build presentation quality data graphics

  • Build predictive machine learning models

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Taught in English

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Specialization - 5 course series

What you'll learn

  • Distinguish between tidy and non-tidy data

  • Describe how non-tidy data can be transformed into tidy data

  • Describe the Tidyverse ecosystem of packages

  • Organize and initialize a data science project

Skills you'll gain

Category: Data Wrangling
Category: Tidyverse (R Package)
Category: File Management
Category: Data Manipulation
Category: Data Transformation
Category: Data Import/Export
Category: Data Cleansing
Category: Ggplot2
Category: Data Analysis
Category: Exploratory Data Analysis
Category: R Programming
Category: Data Science

What you'll learn

  • Describe different data formats

  • Apply Tidyverse functions to import data into R from external formats

  • Obtain data from a web API

Skills you'll gain

Category: Tidyverse (R Package)
Category: Data Import/Export
Category: R Programming
Category: Web Scraping
Category: Relational Databases
Category: Google Sheets
Category: Data Manipulation
Category: Data Integration
Category: Data Transformation
Category: Application Programming Interface (API)
Category: Data Storage
Category: SQL
Category: Spreadsheet Software
Category: Unstructured Data
Category: Extensible Markup Language (XML)
Category: Databases

What you'll learn

  • Apply Tidyverse functions to transform non-tidy data to tidy data

  • Conduct basic exploratory data analysis

  • Conduct analyses of text data

Skills you'll gain

Category: Data Wrangling
Category: Data Manipulation
Category: Tidyverse (R Package)
Category: R Programming
Category: Data Transformation
Category: Text Mining
Category: Exploratory Data Analysis
Category: Data Processing
Category: Time Series Analysis and Forecasting
Category: Data Cleansing

What you'll learn

  • Distinguish between various types of plots and their uses

  • Use the ggplot2 R package to develop data visualizations

  • Build effective data summary tables

  • Build data animations for visual storytelling

Skills you'll gain

Category: Ggplot2
Category: Histogram
Category: Scatter Plots
Category: Data Visualization Software
Category: R Programming
Category: Tidyverse (R Package)
Category: Statistical Visualization
Category: Exploratory Data Analysis
Category: Data Storytelling
Category: Data Presentation
Category: Animations
Category: Plot (Graphics)
Category: Data Manipulation

What you'll learn

  • Describe different types of data analytic questions

  • Conduct hypothesis tests of your data

  • Apply linear modeling techniques to answer multivariable questions

  • Apply machine learning workflows to detect complex patterns in your data

Skills you'll gain

Category: Regression Analysis
Category: Tidyverse (R Package)
Category: R Programming
Category: Statistical Inference
Category: Data Analysis
Category: Statistical Modeling
Category: Statistical Hypothesis Testing
Category: Data Science
Category: Sampling (Statistics)
Category: Predictive Modeling
Category: Machine Learning
Category: Data Modeling
Category: Probability & Statistics
Category: Classification And Regression Tree (CART)
Category: Rmarkdown
Category: Predictive Analytics
Category: Exploratory Data Analysis
Category: Statistical Analysis

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Instructors

Carrie Wright, PhD
13 Courses16,325 learners
Stephanie Hicks, PhD
Johns Hopkins University
5 Courses6,493 learners

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