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In this course, you will :
- Learn how to use the command line to download data files from web servers.
- Discover how to use documentation manuals, option flags, and multi-file processing.
- To prepare our data for further analysis, we will use the command line library csvkit to convert, preview, filter, and manipulate files.
- Concentrate on database operations that can be performed via the command line, such as table creation, data pull, and various ETL transformations.
- We build a bridge between command line and other data science languages and learn how they can coexist.
- Learn how to run Python from the command line, how to install dependencies with the package manager pip, and how to build an entire model pipeline from the command line.
Syllabus :
- Downloading Data on the Command Line
- Data Cleaning and Munging on the Command Line
- Database Operations on the Command Line
- Data Pipeline on the Command Line
