Learn how to gather and clean data from a variety of sources. This is the third course in the Johns Hopkins Data Science Specialisation.
About the course:
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.
Upon completion of this course you will be able to obtain data from a variety of sources. You will know the principles of tidy data and data sharing. Finally, you will understand and be able to apply the basic tools for data cleaning and manipulation.
- Duration: 4 weeks
- Timings: 3 to 5 hours / week
To apply, click here.