TrueschoTruescho
All Courses
Tidyverse Skills for Data Science in R
Coursera
Specialization
Unknown

Tidyverse Skills for Data Science in R

Johns Hopkins University

Designed for data scientists familiar with R, this specialization enhances skills in importing, wrangling, visualizing, and modeling data using the Tidyverse packages.

UnknownEnglish

About this Course

This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage

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

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

C

Carrie Wright, PhD

Senior Staff Scientist

S

Stephanie Hicks, PhD

Assistant Professor, Biostatistics

S

Shannon Ellis, PhD

Assistant Teaching Professor, Cognitive Science

R

Roger D. Peng, PhD

Professor of Statistics and Data Sciences

Topics

Data Analysis
Data Science
Probability and Statistics
Data Analysis Software
Data Import/Export
Data Manipulation
Data Modeling
Data Visualization Software
Data Wrangling
Exploratory Data Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علم البيانات
الإحصاء والاحتمالات
برمجيات تحليل البيانات
استيراد وتصدير البيانات
تنظيف البيانات
نمذجة البيانات
تصوير البيانات
Data Wrangling
Exploratory Data Analysis

Start Learning Now