About 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.
Taught by:
Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by:
Jeff Leek, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by:
Brian Caffo, Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info | Course 3 of 10 in the Data Science Specialization. |
| Language | English, Subtitles: Russian, Chinese (Simplified) |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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