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.
The data.table Package
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Skills You'll Learn
Data Manipulation, Regular Expression (REGEX), R Programming, Data Cleansing
Reviews
4.5 (8,065 ratings)
- 5 stars67.43%
- 4 stars23.65%
- 3 stars5.86%
- 2 stars1.63%
- 1 star1.40%
DH
Feb 1, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.
See the videos for general presentation, but use the energy on the excersizes.
NA
Jun 7, 2020
A very useful course. The audio quality of some lectures (especially those by the main instructor) was not good. This course completes the sister course of R programming and they work together.
From the lesson
Week 1
In this first week of the course, we look at finding data and reading different file types.
Taught By
Jeff Leek, PhD
Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences
Roger D. Peng, PhD
Professor of Statistics and Data Sciences
Brian Caffo, PhD
Professor, Biostatistics