Data Science: Beginners Guide to the Command Line
4.2 (143 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,033 students enrolled

Data Science: Beginners Guide to the Command Line

Master the Basics of the Command Line and Prepare for a Career in Data Science!
4.2 (143 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,033 students enrolled
Created by Ben Weinstein
Last updated 10/2017
English
English [Auto]
Current price: $23.99 Original price: $34.99 Discount: 31% off
5 hours left at this price!
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This course includes
  • 1.5 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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
Expand all 32 lectures 01:21:18
+ Introduction to the Command Line
7 lectures 12:57
Mechanics of the Unix Operating System
01:52
The Command Line for Data Scientists
02:44
Install the Anaconda Distribution of Python
02:53
+ Command Line Basics
13 lectures 42:29
The ls Command
02:58
The Unix File System Structure
07:39
Proper Naming Convention
02:51
The mkdir Command
04:35
The touch Command
02:08
The rm, rm -r, & rmdir Commands
04:34
First Challenge!
04:25
The cp Command
02:05
Lecture 1: The mv Command
02:12
Lecture 2: The mv Command
03:07
+ Command Line Advanced Topics
6 lectures 11:40
What We Will Cover in the Section
00:32
File Types
01:54
The grep Command
03:13
The echo Command
01:37
The wildcard Commands
01:57
Second Challenge!
02:27
+ Data Science From the Command Line
6 lectures 14:12
What We Will Cover in the Section
00:31
Pip & Conda Install
03:54
Ipython & Ipython Magic
03:01
A-Z Data Science Workflow
04:52
Final Challenge
01:16
Congratulations!
00:38
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).