Getting and Cleaning Data

This course is part of multiple programs. Learn more

Instructors: Jeff Leek, PhD +2 more

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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

  •   Web Scraping
  •   Data Integration
  •   R Programming
  •   Exploratory Data Analysis
  •   Data Access
  •   Data Wrangling
  •   Data Import/Export
  •   Data Cleansing
  •   SQL
  •   Data Manipulation
  •   Data Transformation
  •   Data Management
  •   File Management
  •   Application Programming Interface (API)
  •   Data Quality
  •   MySQL
  •   Data Collection

    • There are 4 modules in this course

    Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.

    Week 2

    Week 3

    Week 4

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