Course

Intermediate Command Line for Data Science

In this course, you’ll learn how to use intermediate command line skills and integrate them into your data analysis workflow.

Enroll for free

Part of the Data Analyst in Python, and Data Scientist paths.

4.8 (359 reviews)

8,088 learners enrolled in this course.

Intermediate friendly
3 hours
Self paced
7 lessons

“You get small lessons and can practice skills right away. It’s so convenient. Committing to Dataquest was an easy decision.”

Huyen Vu

Data Engineer @Solita

Intermediate Command Line for Data Science

Enroll For Free

Course overview

In our intermediate command line course, you’ll learn to improve your data analysis workflow with concepts such as piping and redirecting output into a file; searching files for a string; and cleaning, exploring, and consolidating data using the command line.

You’ll also learn to work with Jupyter console, an enhanced Python interpreter, to develop scripts. And you’ll learn how to clean and explore data using csvkit, a suite of command line tools for converting and working with CSV formats.

Then you’ll build a project that combines your Python data skills with your new command line expertise — you’ll write Python scripts to compute summary statistics and then run the scripts directly from the command line. When you finish this course, you’ll be able to add “UNIX Command Line” skills to your data science resume!

Key skills

Cleaning, exploring, and consolidating data using the command line
Piping and redirecting output into a file
Searching files for a string
Using the Jupyter console

Course outline

Intermediate Command Line for Data Science [7 lessons]

Working with Programs 1h

Lesson Objectives

Access bash variables
Employ flags when calling bash functions

Command Line Python Scripting 1h

Lesson Objectives

Identify the fundamentals of command line Python
Install new Python packages using pip
Employ virtual environments

Challenge: Working with the Command Line 1h

Lesson Objectives

Create Python scripts from the command line
Create virtual environments

Working with Jupyter console 1h

Lesson Objectives

Employ the Jupyter console
Employ Jupyter magics to iteratively develop scripts

Piping and Redirecting Output 1h

Lesson Objectives

Build a basic shell pipeline
Search files using grep

Challenge: Data Munging Using The Command Line 1h

Lesson Objectives

Explore datasets from the shell
Consolidate multiple datasets into a single file

Data Cleaning and Exploration Using Csvkit 1h

Lesson Objectives

Clean datasets using csvkit

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

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.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Grow your career with
Dataquest.

97%

of learners recommend

Dataquest for career advancement

4.9

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$30k

Average salary boost

for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”