Course overview
This course builds on the Command Line for Data Science course. You’ll learn how to read documentation, how to inspect files, how to perform basic text processing using the command line, how to redirect and pipe output, and how to access documentation for different commands if you get stuck. Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Key skills
- Reading and exploring documentation
- Inspecting files and performing basic text processing
- Redirecting and piping output
- Employing streams and file descriptors
Course outline
Text Processing for Data Science [5 lessons]
Getting Help and Reading Documentation 1h
Lesson Objectives- Employ different types of commands
- Get help on command usage
- Read documentation
File Inspection 1h
Lesson Objectives- See the contents of files
- Identify different file types
- Define option-arguments
Text Processing 1h
Lesson Objectives- Concatenate files
- Sort files
- Subset data by rows and columns
- Extract data with regular expressions
Redirection and Pipelines 1h
Lesson Objectives- Redirect output to files
- Create empty files
- Define the importance of pipelines
- Employ pipelines
Standard Streams and File Descriptors 1h
Lesson Objectives- Define standard streams
- Define file descriptors
- Redirect input
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We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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Learning resources
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