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Importing Data in the Tidyverse
Coursera
Course
Unknown

Importing Data in the Tidyverse

Johns Hopkins University

Learn to import data into R from various formats and harmonize datasets for efficient data science project execution.

Unknown6 weeksEnglish

About this Course

Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. If you work in an organization where different departments collect data using different systems and different storage formats, then this course will

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

Instructors

S

Shannon Ellis, PhD

UC San Diego

S

Stephanie Hicks, PhD

Johns Hopkins Bloomberg School of Public Health

R

Roger D. Peng, PhD

University of Texas, Austin

C

Carrie Wright, PhD

Biostatistics

Topics

Data Integration
Relational Databases
SQL
Tidyverse (R Package)
Web Scraping
Application Programming Interface (API)
Spreadsheet Software
Extensible Markup Language (XML)
Google Sheets
Unstructured Data

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تكامل البيانات
قواعد البيانات العلائقية
SQL
حزمة Tidyverse
التجريف ويب
واجهات برمجة التطبيقات
برامج الجداول الإلكترونية
XML
Google Sheets
Unstructured Data

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