Learning the command line is essential for a data analyst or data scientist. For example, oftentimes you’ll be asked to process text data or do some data cleaning, and the command line has very powerful text processing tools like awk and sed, which help with getting acquainted with files and facilitate data cleaning. The lack of a graphical user interface (GUI) also makes the command line faster than other approaches for many tasks.

In our Text Processing in the Command Line course, you will learn how to read documentation and how to use standard streams together with redirection and pipelines to facilitate text processing. You’ll learn about 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. When you finish the course, you’ll have had enough hands-on practice that you’ll be comfortable using the command line in your day-to-day data analysis tasks..

If you’re using a Windows PC or laptop, do not worry! You’ll practice your command line skills right on our platform.

By the end of this course, you’ll be able to:

• Read and explore documentation.
• Inspect files in the filesystem.
• Use basic text processing.
• Understand the different kinds of output.
• Redirect and pipe output.
• Understand streams and file descriptors.