Data Science: Beginners Guide to the Command Line

Name: Data Science: Beginners Guide to the Command Line
Rating: 4.0 (151 reviews)

Master the Basics of the Command Line and Prepare for a Career in Data Science!

Created byBen Weinstein

Last updated 10/2017

English

English [Auto],

What you'll learn

Data Science From the Command Line
Introduction to the Unix Operating System
Quick Guide to Shortcut Commands for the macOS Graphical User Interface
Basic & Advanced Bash Shell Commands
Introduction to the macOS Terminal (Bash Shell)
Create, Open, Run, & Save IPython Scripts from the Command Line

Course content

4 sections • 32 lectures • 1h 21m total length

Welcome0:57
Explore how data science distills complex information into valuable insight as Ben Weinstein, a data scientist, explains IBM projections, demand, and salaries to motivate your beginner guide to command line.
What We Will Cover in the Section0:43
Explore Unix and Linux operating systems, Unix mechanics, Bash shell and alternative shell environments, and why the command line matters for data scientists, plus install the Anaconda distribution of Python.
Unix Vs. Linux1:44
Explore the history and differences of Unix and Linux, including proprietary versus open source origins and the shared bash shell as the practical link for command-line learning.
The Bash Shell & Alternative Shell Environments2:04
Explore the bash shell and alternative environments, distinguish graphical versus command-line interfaces, and note bash is the default on Linux and Mac OS for data science.
Mechanics of the Unix Operating System1:52
Explore mechanics of Unix operating system by showing how the user, shell, and kernel interact to run commands on the command line interface with memory, task management, and disk management.
The Command Line for Data Scientists2:44
Learn the command line for data scientists, use version control with git and GitHub to collaborate, pull data from remote servers, and monitor team progress.
Install the Anaconda Distribution of Python2:53
Install the Anaconda distribution of Python by downloading the 64-bit graphical installer from the Anaconda.org download page, selecting Python 3.6, and launching Anaconda Navigator.

What We Will Cover in This Section0:34
Explore command line basics by learning shortcut commands in the Mac graphical user interface, covering the UNIX file system structure, and introducing the bash shell and basic shell commands.
Quick Guide to the macOS Graphical User Interface4:10
Master macOS keyboard shortcuts to boost data science workflows, including Spotlight search, opening and managing terminal windows, adjusting font size, and splitting the screen for side-by-side work.
The ls Command2:58
Master the ls command in the terminal, apply the -l option for detailed listings, and use clear to tidy your screen in this data science beginners guide.
The Unix File System Structure7:39
Navigate the Unix file system from home to desktop, using cd, ls, and print working directory, and view the staircase structure with dot dot to move up or back.
Proper Naming Convention2:51
Master proper naming conventions for directories and files, ensuring no spaces and keeping names short and descriptive to enable clean, efficient command-line workflows.
The mkdir Command4:35
discover how to create directories with the mkdir command in the Unix shell, emphasizing the importance of the current working directory and proper naming conventions for files and folders.
The touch Command2:08
Use the touch command to create files from the command line in the current working directory on Unix, illustrating single and multiple file creation and proper naming conventions.
The rm, rm -r, & rmdir Commands4:34
Learn to remove files and directories from the command line using rm, rm -r, and rmdir, including recursive deletion and the warning that deletions permanently bypass the trash.
First Challenge!4:25
Pause to read the directions, then practice creating directories and a file using cd, mkdir, and touch, open the file, and recursively remove the directory.
The history Command1:11
Explore how the history command displays the last 500 plus commands, and use the up and down arrows to navigate your recent terminal history.
The cp Command2:05
Master the cp command to copy files in the terminal, including renaming copies in the current directory and placing copies in other directories such as the home directory.
Lecture 1: The mv Command2:12
Learn to use the mv command to rename and move files and directories in the UNIX file system, using the terminal and understanding current working directory and the desktop directory.
Lecture 2: The mv Command3:07
Master the mv command to move files and directories across the Unix file system, navigating from home to desktop and between subdirectories.

What We Will Cover in the Section0:32
Learn advanced command line techniques, including grepped echo and wild cards, and explore common file types mentioned in this section.
File Types1:54
Explore common file types used by data scientists, including csv, ipynb, py, json, txt, xlsx, and pandas workflows, and learn how they support data analysis and web scraping.
The grep Command3:13
Learn how to use the grep command to search plain text data, handle case sensitivity, search single words or quoted phrases, and apply flags like -i and -n.
The echo Command1:37
Explore the echo command and its role in the command line by printing phrases like hello world, helping you verify code behavior and diagnose shell or kernel issues.
The wildcard Commands1:57
Learn how wildcard characters simplify the command line, using star for 0 or more characters and question mark for a single character, and apply them with cd to navigate directories.
Second Challenge!2:27
Audit the shell with echo, then create and save a dot txt file on the desktop containing I love Unix, and use grep to locate Unix and love.

What We Will Cover in the Section0:31
Explore how to pick and install Python packages, use Python and IPython with magic commands, and shape a data science workflow from the command line.
Pip & Conda Install3:54
Explore how to install Python packages with pip and conda using the Anaconda Navigator and command line, compare language-specific versus language-agnostic installs, and practice installing Cairo.
Ipython & Ipython Magic3:01
Explore Python and IPython magic commands to navigate the UNIX file system from within Python, using percent-prefixed commands like %ls and %cd to access remote data and datasets.
A-Z Data Science Workflow4:52
Execute a data science workflow from the command line by locating and importing a dataset from Kaggle, then analyzing it with Python, Pandas, and basic statistics.
Final Challenge1:16
Practice using your bash shell instead of a graphical interface for 24 hours, then join Kaggle, download a dataset, analyze it with Excel or similar tools, and share findings.
Congratulations!0:38
Celebrate completing the data science beginners guide to the command line by mastering the Unix file system, basic and advanced shell commands, IPython and IPython magic commands.

Requirements

No Prior Knowledge of Programming Required
Apple Computer or PC Running Macintosh OS

Description

"I used to avoid my bash shell and go straight to my GUI. This course has taught me that it is pretty easy (and even necessary for any aspiring Data Scientist ) to use!" ~ Vanessa

"This is the best course I have taken on Udemy and your style of teaching is super amazing." ~ Albert

"Very well explained." ~ Bipen

Welcome to Data Science: Beginners Guide to the Command Line! If you are interested in kick starting your career in Data Science, then this course is for you!

This course will guide you through an array of topics concerning why the command line is a necessary tool for Data Scientists, an introduction to the Unix filesystem structure, and the basic shell commands that Data Scientists must master in order to effectively operate from the command line. My course is broken up into four main topics: Introduction, Command Line Basics, Command Line Advanced Topics, and Data Science From the Command Line.

Introduction- In this section I will cover topics including, but not limited to, why the command line is a necessary tool for Data Scientists, a brief comparison between the Unix and Linux operating systems, and how to choose the correct shell environment.
Command Line Basics- In this section I will cover topics including, but not limited to, a quick guide to shortcuts within the macOS Graphical User Interface, an introduction to the Unix filesystem structure, and the basics of executing shell commands.
Command Line Advanced Topics- In this section I will cover common file types Data Scientists must be familiar with along with advanced shell commands.
Data Science From the Command Line– In this section I will cover how to create, open, run, and save IPython scripts from the command line. In addition, I will go through an entire Data Science workflow from opening the terminal to completing a small analysis of a data set.

Who this course is for:

My target student is someone who is interested in getting started with Data Science and is seeking to learn the basics of the command line from the macOS terminal (i.e. Bash Shell).

Data Science: Beginners Guide to the Command Line

What you'll learn

Explore related topics

Course content

Introduction to the Command Line7 lectures • 13min

Command Line Basics13 lectures • 42min

Command Line Advanced Topics6 lectures • 12min

Data Science From the Command Line6 lectures • 14min

Requirements

Description

Who this course is for: