Course

Text Processing for Data Science

In this course, you’ll learn how to read documentation and how to use standard streams with redirection and pipelines to facilitate text processing. By the end, you’ll be comfortable using the command line in your day-to-day data analysis tasks.

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Part of the Data Analyst (Python), and Data Scientist (Python) paths.

4.8 (359 reviews)

15,429 learners enrolled in this course.

Intermediate friendly
4 hours
Self paced
5 lessons

“I tried Udacity, but quickly realized it wasn’t going to work—I didn’t have time during the day to watch full videos.”

Luiz Zanini

Senior Product Manager @Mastercard

Text Processing for Data Science

Enroll For Free

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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